Dimitrios Mitsouras, Ph.D.
|
|
- Dorthy Bell
- 5 years ago
- Views:
Transcription
1 Dimitrios Mitsouras, Ph.D. Harvard Medical School Brigham And Women s Hospital Dept. of Radiology 75 Francis St Intent/Status Potentially seeking R&D/consulting position in scientific computing/medical imaging; no geographical restriction. Citizen of Greece, current H-1B status until 10/2007. Education Massachusetts Institute of Technology Cambridge, MA 6/2000-8/2004: Ph.D., Electrical Engineering and Computer Science. Dissertation: A Numerical Approach: Broadband Technologies for Efficient Magnetic Resonance Imaging. 9/1998-5/2000: M.Sc., Electrical Engineering and Computer Science, GPA: 5.0/5.0. Thesis: Near Real-Time 2D Non-Fourier Basis MRI. 9/1994-5/1998: B.Sc., Computer Science, GPA: 3.95/4.0. Thesis: A Numerical Approach: Simulations and Statistics for Studying Large Scale Structure Formation in the Universe. Positions Held Harvard Medical School 10/ Present: Instructor in Radiology Brigham & Women s Hospital 10/ Present: Research Associate; Lead Research Scientist, Cardiovascular Imaging Section. Honors Student stipend recipient, International Society for Magnetic Resonance in Medicine Best 1998 Thesis award (one of 4), Sc.B. received with honors in Computer Science, and, Magna cum Laude (highest awarded by institution) NASA Rhode Island regional Space Grant (one of 4 recipients) Royce Fellowship (one of 25 recipients). Teaching Massachusetts Institute of Technology Cambridge, MA 1999: Teaching Assistant, Introduction to Algorithms, Profs. Leiserson & Rivest. 1998: Teaching Assistant, Laboratory in Software Engineering, Prof. Liskov. Providence,RI 1996: Teaching Assistant, Introduction to Software Engineering and C++, Prof. Reiss. Systems C++, C, Java, Pascal (procedural & OO), Perl, MIPS assembly, Scheme, GE EPIC, Matlab DCE/RPC, X window, Motif, OpenGL, VRML 1.0 (OpenInventor) Research MIT, Brigham & Women s Hospital Cambridge, MA : Near optimal, near real-time dynamic adaptive Magnetic Resonance Imaging using non-fourier encoding. Applied compression ideas to MR signal acquisition by directly inducing signal compression via RF excitation, thus generating a signal carrying compressed information about the sample. Developed novel MR sequences capable of applying the RF encoding paradigm
2 based on fast imaging sequences (e.g., Spiral, Echo-Planar, FSE) and the methods required for image reconstruction. Developed the theory of RF encoding in the presence of parallel RF receiver coil arrays, in a manner that both further increases achievable signal compression and reduces RF excitation time. Developed the theory of FOLDing RF excitations, using the signal space concurrently with the time axis for signal compression via RF encoding. Developed a Scanner Real-Time hardware & software pipeline, largely replacing most aspects of the imaging pipeline of a commercial MR imager. System provided adaptive control of signal encoding, compression, and subsequent decoding and reconstruction of MR images. End product is capable of continuous adaptive MR imaging at an order of magnitude faster than current technologies. Brigham & Women s Hospital Summers 2003 & 2004: Designed and implemented novel 3D Inner Volume MRI techniques, for use on clinical MR scanners. Careful control of magnetization evolution enabled the combination of seemingly incompatible technologies (spin selection, and, echo trains formed by non-selective refocusing RF excitations). This led to ultra-high isotropic resolution imaging over small (e.g., 5cm cubic) volumes of interest, in clinically viable imaging times. Since imaging can be targeted to only the region/pathology of interest without restrictions, imaging time is reduced compared to present state of the art methods. Extensions are leading to clinically viable T 2 quantitation., Royce Fellowship, NASA Space Grant 5/1996-5/1999: Designed and implemented simulations of large scale structure formation in the universe. Developed asymptotically faster algorithms to compute statistical measures of structure, such as the Minkowski functionals, thus enabling differentiation between structure formation models over the large numbers of galaxies measured by present studies. Results helped design the observation strategy for the UBC/Laval 2.7m Liquid Mirror Telescope. Fall 1997: Developed and programmed a distributed WWW dynamic caching layer for Java applets, fully transparent to client/server implementations. Servers transparently doubled as intermediate caches arranged in a tree structure as reflected by physical topology. Execution proceeded with only a portion of the address space of the root server, while un-cached objects where fetched on-demand upon access. 9/1996-5/1997: Developed a novel auto-classifying mixture modeler for satellite multi-spectral images which was used to infer surface topology. A novel application of computational geometry methods allowed accurate extraction of the end-member spectra (i.e., constituents), such as the shade component. Accurate 3D topology was inferred from the latter via shape from shading algorithms and software was developed for 3D fly-through visualization. Spring 1996: Developed the RPC++ compiler which, given an extended IDL specification, produced C++ stubs that enabled distributing objects. The compiler provided object pointers including polymorphism as well as exception handling across networked systems. Fall 1996: Designed and implemented a fully functional multi-threaded, multi-process, micro-kernel OS in C++, with user level file system, name server and terminal manager, based on Sun s Spring OS. Publication List Books 1. Mitsouras D., A Numerical Approach: Simulations and Statistics for Studying Large Scale Structure Formation in the Universe,, Wayland Press, 103p., Journal Papers 1. Mitsouras D., Mulkern R.V., Owens C.D., Conte M.S., Ersoy H., Luu T.M., Whitmore A.G., Creager M.A., Rybicki F.J., High Resolution Peripheral Vein Bypass Graft Wall Studies Using High Sampling Efficiency Inner Volume 3D FSE, Magnetic Resonance in Medicine, ;in press, 2007.
3 2. Mitsouras D., Mulkern R.V., Afacan O., Brooks D.H., Rybicki F.J., Basis Function Cross- Correlations for Robust k-space Sample Density Compensation, with Application to the Design of RF Excitations, Magnetic Resonance in Medicine, 57; , Mitsouras D., Zientara G.P., Edelman A., Rybicki F.J., Enhancing the Acquisition Efficiency of Fast Magnetic Resonance Imaging via Broadband Encoding of the Signal Content, Magnetic Resonance Imaging, 24; , Kyriakos W., Hoge W.S., Mitsouras D., Generalised Encoding Through the Use of Selective Excitation in Accelerated Parallel MRI, NMR in Biomedicine, 19; , Mitsouras D., Mulkern R.V., Rybicki F.J., Strategies for Inner Volume 3D Fast Spin Echo Magnetic Resonance Imaging using non-selective Refocusing Radio Frequency Pulses, Medical Physics, 33; , Mitsouras D., Hoge W.S., Rybicki F.J., Kyriakos W., Edelman A., Zientara G.P., Non-Fourier Encoded MRI Using Multiple Receiver Coils, Magnetic Resonance in Medicine, 52; , Trac H., Mitsouras D., Hickson P., Brandenberger R., Topology of the Las Campanas Redshift Survey, Monthly Notices of the Royal Astronomical Society, 330; , (astro-ph/ ) 8. Mitsouras D., Brandenberger R.H., Hickson P., Topological Statistics and the LMT Galaxy Redshift Project, Monthly Notices of the Royal Astronomical Society, 305;19-27, (astroph/ ) Conference Papers 1. Afacan O, Mitsouras D, Brooks DH, Mulkern RV, Rybicki FJ. Comparing MR Imaging Properties of Spirals Using the Singular Spectrum of the Analytical Fourier Basis Cross-Correlation Matrix, in Proc. IEEE International Symposium on Biomedical Imaging (ISBI); 2007 Metro Washington, DC, 4; , 4/ Hoge W.S., Mitsouras D., Rybicki F.J., Mulkern R.V., Westin C.-F., Registration of multidimensional image data via sub-pixel resolution phase correlation, in Proc. IEEE International Conference on Image Processing (ICIP-03), Barcelona, Spain, II; , 9/ Mitsouras D., Near Real-Time 2D Dynamic Adaptive MRI Using Near-Optimal Spatial Encoding, in Proc. ISMRM Workshop on Minimum MR Data-Acquisition Methods, Florida, USA, 71-75, 10/2001. Proceedings 1. Mitsouras D, Mulkern RV, Afacan O, Brooks DH, Rybicki FJ, k-space Sample Density Compensation via Basis Function Cross-Correlations, with Application to the Design of 2D RF Excitations, in Proc. 15 th ISMRM, Berlin, Germany, p.1701, 5/ Mitsouras D, Mulkern RV, Owens CD, Conte MS, Creager MA, Ersoy H, Luu TM, Rybicki FJ, Ultra-High Resolution Vessel Imaging at 1.5T: Peripheral Vein Bypass Graft Wall Imaging via Non-Selective Refocusing Inner Volume 3D Fast Spin Echo, in Proc. 15 th ISMRM, Berlin, Germany, p.2472, 5/ Roebuck JR, Mitsouras D, Haker SJ, Rybicki FJ, Tempany CM, Mulkern RV, Carr-Purcell- Meiboom-Gill (CPMG) Imaging of Prostate Cancer; Trading Time for Information: High Quality T2 Images and Quantitative T2 Values for Cancer Discrimination, in Proc. 15 th ISMRM, Berlin, Germany, p.3675, 5/ Mitsouras D., Mulkern R.V., Rybicki F.J., Single slab-selective 3D CPMG multi-echo sequence with short inter-echo spacing for short-component T2 quantitation, in Proc. 14 th ISMRM, Seattle, Washington, p.3026, 5/ Mitsouras D., Madore B., Rybicki F.J., Panych L.P., Edelman A., Zientara G.P., Accelerated MR Imaging via FOLDing the non-fourier Encoded Dimensions, in Proc. 12 th ISMRM, Kyoto, Japan, p.2092, 5/2004.
4 6. Mitsouras D., Rybicki F.J., Edelman A., Zientara G.P., Ultra High Spatio-Temporal Resolution 3D Dynamic MRI via Adaptive non-fourier Encoding: Experimental Results, in Proc. 12 th ISMRM, Kyoto, Japan, p.2667, 5/ Mitsouras D., Mulkern R.V., Edelman A., Zientara G.P., Rybicki F.J., 3D Ultra-Fast Spin Echo Inner Volume MRI: Neuroimaging Applications, in Proc. 12 th ISMRM, Kyoto, Japan, p.2105, 5/ Kyriakos W.E., Mitsouras D., Rybicki F.J., Mulkern R.V., Accelerated Cardiac Selective Excitation (CASE) imaging in parallel using SPACE RIP, in Proc. 20 th ESMRMB, Rotterdam, Netherlands, p.479, 9/ Mitsouras D., Hoge W.S., Edelman A. & Zientara G.P., MR Imaging via Non-Fourier Encoding and Multiple Receiver Coils, in Proc. 11 th ISMRM, Toronto, Canada, p.16, 5/ Mitsouras D., Mulkern R.V., Panych L.P., Edelman A., Zientara G.P. & Rybicki F.J., Strategies for Inner Volume 3D Fast Spin Echo MRI, in Proc. 11 th ISMRM, Toronto, Canada, p.968, 5/ Mitsouras D., Panych L.P., Edelman A. & Zientara G.P., Spiral Echo-Planar Trajectories for 3D Non-Fourier Encoded MRI, in Proc. 11 th ISMRM, Toronto, Canada, p.991, 5/ Mitsouras D., Edelman A., Panych L.P., Jolesz F.A. & Zientara G.P., 3D Non-Fourier Dynamic Adaptive MRI via Near-Optimal Spatial Encoding: Towards Real-Time Imaging, in Proc. 10 th ISMRM, Honolulu, Hawaii, p.2379, 5/ Mitsouras D., Panych L.P., Edelman A., Jolesz F.A. & Zientara G.P., Fast Multiple-Excitation Multiple-Echo Spin-Echo Pulse Sequence for Non-Fourier Spatial Encoding, in Proc. 9 th Meeting ISMRM, Glasgow, Scotland, p.1808, 4/ Mitsouras D., Edelman A., Panych L.P., Jolesz F.A. & Zientara G.P., Sub-Second Continuous 2D Non-Fourier Dynamic Adaptive MRI Using Near-Optimal Spatial Encoding, in Proc. 9 th ISMRM, Glasgow, Scotland, p.1779, 4/ Mitsouras D., Edelman A., Panych L.P., Jolesz F.A. & Zientara G.P., Echo Planar Pulse Sequence for 3D Dynamic Adaptive MRI, in Proc. 9 th ISMRM, Glasgow, Scotland, p.1807, 4/ Mitsouras D., Edelman A., Panych L.P., Jolesz F.A. & Zientara G.P., Super-Resolved MRI by Back-Projection, in Proc. 9 th ISMRM, Glasgow, Scotland, p.764, 4/ Zientara G.P., Masurkar A.V., Mitsouras D., Panych L.P. & Jolesz F.A., Non-Orthogonal Non-Fourier Spatial Encoding for Dynamic MRI, in Proc. 9 th ISMRM, Glasgow, Scotland, p.782, 4/ Mitsouras D., Masurkar A.V., Zhao L., Panych L.P., Edelman A., Jolesz F.A & Zientara G.P., Implementation of Hybrid Basis Non-Fourier Spatial Encoding for Dynamic Adaptive MRI, In Proc. 8 th ISMRM, Boulder, Colorado, p.1431, 4/2000. Abstracts 1. Mitsouras D., Mulkern R.V., Owens C., Conte M., Creager M., Rybicki F.J., Application of high-resolution inner-volume 3D black-blood T 1 - and T 2 -weighted fast spin echo imaging to peripheral vein bypass graft imaging, in Proc. 92 nd Meeting of the Radiological Society of North America, Chicago, Illinois, 11/ Mitsouras D., Mulkern R.V., Edelman A., Zientara G.P., Rybicki F.J., Neuroimaging Applications of Two Reduced Field-of-View 3D Fast Spin Echo Magnetic Resonance Imaging Methods with Ultrashort, Non-selective, Hard-pulse Refocusing Radiofrequency Pulses, in Proc. 90 th Meeting of the Radiological Society of North America, Chicago, Illinois, p.452, 11/2004.
5 3. Owens C.D., Wake N., Schanzer A., Ifantides C., Rybicki F.J., Whitmore A.G., Mitsouras D., Gerhard-Herman M.D., Belkin M., Creager M.A., Conte M.S., Early Remodeling of Lower Extremity Vein Grafts: Modulation of Hemodynamic Adaptation by Systemic Inflammation, Research Initiatives In Vascular Disease Conference, Washington, D.C., Other References Fluent in Greek, reading & writing French. Upon request: Prof. Alan Edelman, MIT Dept. of Applied Mathematics, and, Computer Science and Artificial Intelligence Laboratory; Dr. Frank J. Rybicki, Harvard Medical School & Brigham and Women s Hospital Dept. of Radiology; Prof. Robert Mulkern, HMS & Children s Hospital Dept. of Radiology; Prof. Gary Zientara, HMS & BWH Dept. of Radiology; Prof. Robert Brandenberger, Dept. of Physics.
Improved Spatial Localization in 3D MRSI with a Sequence Combining PSF-Choice, EPSI and a Resolution Enhancement Algorithm
Improved Spatial Localization in 3D MRSI with a Sequence Combining PSF-Choice, EPSI and a Resolution Enhancement Algorithm L.P. Panych 1,3, B. Madore 1,3, W.S. Hoge 1,3, R.V. Mulkern 2,3 1 Brigham and
More informationDynamic Autocalibrated Parallel Imaging Using Temporal GRAPPA (TGRAPPA)
Magnetic Resonance in Medicine 53:981 985 (2005) Dynamic Autocalibrated Parallel Imaging Using Temporal GRAPPA (TGRAPPA) Felix A. Breuer, 1 * Peter Kellman, 2 Mark A. Griswold, 1 and Peter M. Jakob 1 Current
More informationVisualisation : Lecture 1. So what is visualisation? Visualisation
So what is visualisation? UG4 / M.Sc. Course 2006 toby.breckon@ed.ac.uk Computer Vision Lab. Institute for Perception, Action & Behaviour Introducing 1 Application of interactive 3D computer graphics to
More informationSparse sampling in MRI: From basic theory to clinical application. R. Marc Lebel, PhD Department of Electrical Engineering Department of Radiology
Sparse sampling in MRI: From basic theory to clinical application R. Marc Lebel, PhD Department of Electrical Engineering Department of Radiology Objective Provide an intuitive overview of compressed sensing
More informationControlled Aliasing in Volumetric Parallel Imaging (2D CAIPIRINHA)
Magnetic Resonance in Medicine 55:549 556 (2006) Controlled Aliasing in Volumetric Parallel Imaging (2D CAIPIRINHA) Felix A. Breuer,* Martin Blaimer, Matthias F. Mueller, Nicole Seiberlich, Robin M. Heidemann,
More informationGPUs Open New Avenues in Medical MRI
GPUs Open New Avenues in Medical MRI Chris A. Cocosco D. Gallichan, F. Testud, M. Zaitsev, and J. Hennig Dept. of Radiology, Medical Physics, UNIVERSITY MEDICAL CENTER FREIBURG 1 Our research group: Biomedical
More informationDynamic Contrast enhanced MRA
Dynamic Contrast enhanced MRA Speaker: Yung-Chieh Chang Date : 106.07.22 Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan 1 Outline Basic and advanced principles of Diffusion
More informationA Doubly Adaptive Approach to Dynamic MRI Sequence Estimation
1168 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 11, NO. 11, OCTOBER 2002 A Doubly Adaptive Approach to Dynamic MRI Sequence Estimation William Scott Hoge, Member, IEEE, Eric L. Miller, Member, IEEE, Hanoch
More informationDevelopment of fast imaging techniques in MRI From the principle to the recent development
980-8575 2-1 2012 10 13 Development of fast imaging techniques in MRI From the principle to the recent development Yoshio MACHIDA and Issei MORI Health Sciences, Tohoku University Graduate School of Medicine
More informationT 2 -Relaxometry for Myelin Water Fraction Extraction Using Wald Distribution and Extended Phase Graph
T -Relaxometry for Myelin Water Fraction Extraction Using Wald Distribution and Extended Phase Graph Alireza Akhondi-Asl, Onur Afacan, Robert V. Mulkern, Simon K. Warfield Computational Radiology Laboratory,
More informationTwo-Parameter Selection Techniques for Projection-based Regularization Methods: Application to Partial-Fourier pmri
Two-Parameter Selection Techniques for Projection-based Regularization Methods: Application to Partial-Fourier pmri Misha E. Kilmer 1 Scott Hoge 1 Dept. of Mathematics, Tufts University Medford, MA Dept.
More informationNIH Public Access Author Manuscript Magn Reson Med. Author manuscript; available in PMC 2014 June 23.
NIH Public Access Author Manuscript Published in final edited form as: Magn Reson Med. 2008 September ; 60(3): 650 660. doi:10.1002/mrm.21679. Comparison of Parallel MRI Reconstruction Methods for Accelerated
More informationConstrained Reconstruction of Sparse Cardiac MR DTI Data
Constrained Reconstruction of Sparse Cardiac MR DTI Data Ganesh Adluru 1,3, Edward Hsu, and Edward V.R. DiBella,3 1 Electrical and Computer Engineering department, 50 S. Central Campus Dr., MEB, University
More information6 credits. BMSC-GA Practical Magnetic Resonance Imaging II
BMSC-GA 4428 - Practical Magnetic Resonance Imaging II 6 credits Course director: Ricardo Otazo, PhD Course description: This course is a practical introduction to image reconstruction, image analysis
More informationPh.D. with Distinction in Computer Science Advisor: Prof. Micha Sharir Dissertation: Geometric Arrangements: Substructures and Algorithms
April 29, 2009 Esther Ezra phone (919) 660-6578 Levine Science Research Center D340 fax (919) 660-6502 Department of Computer Science, Duke University http://www.math.tau.ac.il/~estere Durham NC 27708
More informationNIH Public Access Author Manuscript Proc Soc Photo Opt Instrum Eng. Author manuscript; available in PMC 2014 October 07.
NIH Public Access Author Manuscript Published in final edited form as: Proc Soc Photo Opt Instrum Eng. 2014 March 21; 9034: 903442. doi:10.1117/12.2042915. MRI Brain Tumor Segmentation and Necrosis Detection
More informationParallel Imaging. Marcin.
Parallel Imaging Marcin m.jankiewicz@gmail.com Parallel Imaging initial thoughts Over the last 15 years, great progress in the development of pmri methods has taken place, thereby producing a multitude
More informationCompressed Sensing Algorithm for Real-Time Doppler Ultrasound Image Reconstruction
Mathematical Modelling and Applications 2017; 2(6): 75-80 http://www.sciencepublishinggroup.com/j/mma doi: 10.11648/j.mma.20170206.14 ISSN: 2575-1786 (Print); ISSN: 2575-1794 (Online) Compressed Sensing
More informationRole of Parallel Imaging in High Field Functional MRI
Role of Parallel Imaging in High Field Functional MRI Douglas C. Noll & Bradley P. Sutton Department of Biomedical Engineering, University of Michigan Supported by NIH Grant DA15410 & The Whitaker Foundation
More informationVD-AUTO-SMASH Imaging
Magnetic Resonance in Medicine 45:1066 1074 (2001) VD-AUTO-SMASH Imaging Robin M. Heidemann, Mark A. Griswold, Axel Haase, and Peter M. Jakob* Recently a self-calibrating SMASH technique, AUTO-SMASH, was
More informationClinical Importance. Aortic Stenosis. Aortic Regurgitation. Ultrasound vs. MRI. Carotid Artery Stenosis
Clinical Importance Rapid cardiovascular flow quantitation using sliceselective Fourier velocity encoding with spiral readouts Valve disease affects 10% of patients with heart disease in the U.S. Most
More informationMRI. When to use What sequences. Outline 2012/09/19. Sequence: Definition. Basic Principles: Step 2. Basic Principles: Step 1. Govind Chavhan, MD
MRI When to use What sequences Govind Chavhan, MD Assistant Professor and Staff Radiologist The Hospital For Sick Children, Toronto Planning Acquisition Post processing Interpretation Patient history and
More informationAnat Levin : Postdoctoral Associate, MIT CSAIL. Advisor: Prof William T. Freeman.
Anat Levin MIT CSAIL The Stata Center 32-D466 32 Vassar Street, Cambridge MA 02139 Email: alevin@csail.mit.edu URL: http://people.csail.mit.edu/alevin Phone: 617-253-7245 Education: 2007-2008: Postdoctoral
More informationEnhao Gong, PhD Candidate, Electrical Engineering, Stanford University Dr. John Pauly, Professor in Electrical Engineering, Stanford University Dr.
Enhao Gong, PhD Candidate, Electrical Engineering, Stanford University Dr. John Pauly, Professor in Electrical Engineering, Stanford University Dr. Greg Zaharchuk, Associate Professor in Radiology, Stanford
More informationSuper-resolution Reconstruction of Fetal Brain MRI
Super-resolution Reconstruction of Fetal Brain MRI Ali Gholipour and Simon K. Warfield Computational Radiology Laboratory Children s Hospital Boston, Harvard Medical School Worshop on Image Analysis for
More informationIntraoperative Prostate Tracking with Slice-to-Volume Registration in MR
Intraoperative Prostate Tracking with Slice-to-Volume Registration in MR Sean Gill a, Purang Abolmaesumi a,b, Siddharth Vikal a, Parvin Mousavi a and Gabor Fichtinger a,b,* (a) School of Computing, Queen
More information(a Scrhon5 R2iwd b. P)jc%z 5. ivcr3. 1. I. ZOms Xn,s. 1E IDrAS boms. EE225E/BIOE265 Spring 2013 Principles of MRI. Assignment 8 Solutions
EE225E/BIOE265 Spring 2013 Principles of MRI Miki Lustig Assignment 8 Solutions 1. Nishimura 7.1 P)jc%z 5 ivcr3. 1. I Due Wednesday April 10th, 2013 (a Scrhon5 R2iwd b 0 ZOms Xn,s r cx > qs 4-4 8ni6 4
More informationInstitute of Cardiovascular Science, UCL Centre for Cardiovascular Imaging, London, United Kingdom, 2
Grzegorz Tomasz Kowalik 1, Jennifer Anne Steeden 1, Bejal Pandya 1, David Atkinson 2, Andrew Taylor 1, and Vivek Muthurangu 1 1 Institute of Cardiovascular Science, UCL Centre for Cardiovascular Imaging,
More informationAccelerated MRI Techniques: Basics of Parallel Imaging and Compressed Sensing
Accelerated MRI Techniques: Basics of Parallel Imaging and Compressed Sensing Peng Hu, Ph.D. Associate Professor Department of Radiological Sciences PengHu@mednet.ucla.edu 310-267-6838 MRI... MRI has low
More informationChapter 3 Set Redundancy in Magnetic Resonance Brain Images
16 Chapter 3 Set Redundancy in Magnetic Resonance Brain Images 3.1 MRI (magnetic resonance imaging) MRI is a technique of measuring physical structure within the human anatomy. Our proposed research focuses
More informationSpread Spectrum Using Chirp Modulated RF Pulses for Incoherent Sampling Compressive Sensing MRI
Spread Spectrum Using Chirp Modulated RF Pulses for Incoherent Sampling Compressive Sensing MRI Sulaiman A. AL Hasani Department of ECSE, Monash University, Melbourne, Australia Email: sulaiman.alhasani@monash.edu
More informationAcquisition Methods for fmri at 7 Tesla
Acquisition Methods for fmri at 7 Tesla Peter J. Koopmans, Nuffield department for clinical neurosciences, University of Oxford, UK fmri at 7 Tesla is mostly used in the context of high spatial resolution
More informationNew Technology Allows Multiple Image Contrasts in a Single Scan
These images were acquired with an investigational device. PD T2 T2 FLAIR T1 MAP T1 FLAIR PSIR T1 New Technology Allows Multiple Image Contrasts in a Single Scan MR exams can be time consuming. A typical
More informationAn Iterative Approach for Reconstruction of Arbitrary Sparsely Sampled Magnetic Resonance Images
An Iterative Approach for Reconstruction of Arbitrary Sparsely Sampled Magnetic Resonance Images Hamed Pirsiavash¹, Mohammad Soleymani², Gholam-Ali Hossein-Zadeh³ ¹Department of electrical engineering,
More informationCURRICULUM VITAE. June, 2013
CURRICULUM VITAE ד"ר אבי סופר Dr. Avi Soffer June, 2013 ORT Braude College, Department of Software Engineering, P.O. Box 78, Karmiel 2161002, Israel Telephone: +972-4-990-1720 Email: asoffer@braude.ac.il
More informationFast Imaging Trajectories: Non-Cartesian Sampling (1)
Fast Imaging Trajectories: Non-Cartesian Sampling (1) M229 Advanced Topics in MRI Holden H. Wu, Ph.D. 2018.05.03 Department of Radiological Sciences David Geffen School of Medicine at UCLA Class Business
More informationA Dissertation Presented. Onur Afacan. in partial fulfillment of the requirements for the degree of. Doctor of Philosophy. Electrical Engineering
K-space undersampling strategies for functional and cardiac MRI: Achieving rapid acquisition while maintaining image quality A Dissertation Presented by Onur Afacan to The Department of Electrical and
More informationFunctional MRI in Clinical Research and Practice Preprocessing
Functional MRI in Clinical Research and Practice Preprocessing fmri Preprocessing Slice timing correction Geometric distortion correction Head motion correction Temporal filtering Intensity normalization
More informationGraduate Programs 4/08
Graduate Programs CIS Graduate Program Overview PhD Programs in Imaging Science Color Science Astrophysical Sciences and Technology (joint with the Depts.of Physics And Math) MS Programs in Imaging Science
More informationFast Magnetic Resonance Imaging via Adaptive Broadband Encoding of the MR Signal Content
1 Fast Magnetic Resonance Imaging via Adaptive Broadband Encoding of the MR Signal Content Dimitris Mitsouras, Frank J. Rybicki, Alan Edelman, Gary P. Zientara Abstract Our goal is to increase the time-efficiency
More informationK-Space Trajectories and Spiral Scan
K-Space and Spiral Scan Presented by: Novena Rangwala nrangw2@uic.edu 1 Outline K-space Gridding Reconstruction Features of Spiral Sampling Pulse Sequences Mathematical Basis of Spiral Scanning Variations
More informationInformation about presenter
Information about presenter 2013-now Engineer R&D ithera Medical GmbH 2011-2013 M.Sc. in Biomedical Computing (TU München) Thesis title: A General Reconstruction Framework for Constrained Optimisation
More informationWireless Communications, Information Theory, Physical Layer Security, Cyber Security for Smart Grid, Cryptography, Network Coding.
Mustafa El-Halabi Contact Information Fleifel Building Cell Phone: + (979) 422 4585 Mathaf E-mail: mhalabi@aust.edu.lb Beirut, Lebanon Webpage: https://mustafa-halabi.appspot.com/ Research Interests Education
More informationMagnetic Resonance Elastography (MRE) of Liver Disease
Magnetic Resonance Elastography (MRE) of Liver Disease Authored by: Jennifer Dolan Fox, PhD VirtualScopics Inc. jennifer_fox@virtualscopics.com 1-585-249-6231 1. Overview of MRE Imaging MRE is a magnetic
More informationSPM8 for Basic and Clinical Investigators. Preprocessing. fmri Preprocessing
SPM8 for Basic and Clinical Investigators Preprocessing fmri Preprocessing Slice timing correction Geometric distortion correction Head motion correction Temporal filtering Intensity normalization Spatial
More informationWe have proposed a new method of image reconstruction in EIT (Electrical Impedance
Impedance tomography using internal current density distribution measured by nuclear magnetic resonance Eung Je Woo, Soo Yeol Lee, Chi Woong Mun Kon Kuk University, Department of Biomedical Engineering
More informationFIELD PARADIGM FOR 3D MEDICAL IMAGING: Safer, More Accurate, and Faster SPECT/PET, MRI, and MEG
FIELD PARADIGM FOR 3D MEDICAL IMAGING: Safer, More Accurate, and Faster SPECT/PET, MRI, and MEG July 1, 2011 First, do no harm. --Medical Ethics (Hippocrates) Dr. Murali Subbarao, Ph. D. murali@fieldparadigm.com,
More informationMEDICAL IMAGE ANALYSIS
SECOND EDITION MEDICAL IMAGE ANALYSIS ATAM P. DHAWAN g, A B IEEE Engineering in Medicine and Biology Society, Sponsor IEEE Press Series in Biomedical Engineering Metin Akay, Series Editor +IEEE IEEE PRESS
More informationMR Advance Techniques. Vascular Imaging. Class III
MR Advance Techniques Vascular Imaging Class III 1 Vascular Imaging There are several methods that can be used to evaluate the cardiovascular systems with the use of MRI. MRI will aloud to evaluate morphology
More informationThE ultimate, INTuITIVE Mr INTErFAcE
ThE ultimate, INTuITIVE Mr INTErFAcE Empowering you to do more The revolutionary Toshiba M-power user interface takes Mr performance and flexibility to levels higher than ever before. M-power is able to
More informationShort Tutorial for ODIN, the Object-oriented Development Interface for NMR
Short Tutorial for ODIN, the Object-oriented Development Interface for NMR Thies H. Jochimsen November 8, 2016 Contents 1 Sequence Programming 2 1.1 Introduction..................................... 2
More informationfmri Image Preprocessing
fmri Image Preprocessing Rick Hoge, Ph.D. Laboratoire de neuroimagerie vasculaire (LINeV) Centre de recherche de l institut universitaire de gériatrie de Montréal, Université de Montréal Outline Motion
More informationDiffusion MRI Acquisition. Karla Miller FMRIB Centre, University of Oxford
Diffusion MRI Acquisition Karla Miller FMRIB Centre, University of Oxford karla@fmrib.ox.ac.uk Diffusion Imaging How is diffusion weighting achieved? How is the image acquired? What are the limitations,
More informationCURRICULUM VITÆ. Naama Kraus B.Sc. in Computer Science and Mathematics, Bar-Ilan University, Cum Laude GPA: 90.
CURRICULUM VITÆ Naama Kraus naamakraus@gmail.com Personal Information Home Address: 6 Trumpeldor Ave., Haifa, 32582, Israel Phone (Home): +972 4 8328216 Phone (Mobile): +972 55 6644563 Date of Birth: 29-APR-1974
More informationG Practical Magnetic Resonance Imaging II Sackler Institute of Biomedical Sciences New York University School of Medicine. Compressed Sensing
G16.4428 Practical Magnetic Resonance Imaging II Sackler Institute of Biomedical Sciences New York University School of Medicine Compressed Sensing Ricardo Otazo, PhD ricardo.otazo@nyumc.org Compressed
More informationEvaluations of k-space Trajectories for Fast MR Imaging for project of the course EE591, Fall 2004
Evaluations of k-space Trajectories for Fast MR Imaging for project of the course EE591, Fall 24 1 Alec Chi-Wah Wong Department of Electrical Engineering University of Southern California 374 McClintock
More informationExploration and Study of MultiVolume Image Data using 3D Slicer
Exploration and Study of MultiVolume Image Data using 3D Slicer Meysam Torabi and Andriy Fedorov torabi@bwh.harvard.edu, fedorov@bwh.harvard.edu Surgical Navigation and Robotics Lab and Surgical Planning
More informationLab Location: MRI, B2, Cardinal Carter Wing, St. Michael s Hospital, 30 Bond Street
Lab Location: MRI, B2, Cardinal Carter Wing, St. Michael s Hospital, 30 Bond Street MRI is located in the sub basement of CC wing. From Queen or Victoria, follow the baby blue arrows and ride the CC south
More informationClassification of Subject Motion for Improved Reconstruction of Dynamic Magnetic Resonance Imaging
1 CS 9 Final Project Classification of Subject Motion for Improved Reconstruction of Dynamic Magnetic Resonance Imaging Feiyu Chen Department of Electrical Engineering ABSTRACT Subject motion is a significant
More informationAC : EDGE DETECTORS IN IMAGE PROCESSING
AC 11-79: EDGE DETECTORS IN IMAGE PROCESSING John Schmeelk, Virginia Commonwealth University/Qatar Dr. John Schmeelk is a Professor of mathematics at Virginia Commonwealth University teaching mathematics
More informationRECOVERY OF PARTIALLY OBSERVED DATA APPEARING IN CLUSTERS. Sunrita Poddar, Mathews Jacob
RECOVERY OF PARTIALLY OBSERVED DATA APPEARING IN CLUSTERS Sunrita Poddar, Mathews Jacob Department of Electrical and Computer Engineering The University of Iowa, IA, USA ABSTRACT We propose a matrix completion
More informationNomair A. Naeem. Personal Data. Education. Teaching Experience. Course Instructor/Sessional
Nomair A. Naeem Personal Data Address: E-mail: Web Page: David R. Cheriton School of Computer Science University of Waterloo 200 University Avenue West Waterloo, ON N2L 3G1, Canada nanaeem@uwaterloo.ca
More informationMotion Artifacts and Suppression in MRI At a Glance
Motion Artifacts and Suppression in MRI At a Glance Xiaodong Zhong, PhD MR R&D Collaborations Siemens Healthcare MRI Motion Artifacts and Suppression At a Glance Outline Background Physics Common Motion
More informationPhilips SPECT/CT Systems
Philips SPECT/CT Systems Ling Shao, PhD Director, Imaging Physics & System Analysis Nuclear Medicine, Philips Healthcare June 14, 2008 *Presented SNM08 Categorical Seminar - Quantitative SPECT and PET
More informationBasic fmri Design and Analysis. Preprocessing
Basic fmri Design and Analysis Preprocessing fmri Preprocessing Slice timing correction Geometric distortion correction Head motion correction Temporal filtering Intensity normalization Spatial filtering
More informationCompressed Sensing for Rapid MR Imaging
Compressed Sensing for Rapid Imaging Michael Lustig1, Juan Santos1, David Donoho2 and John Pauly1 1 Electrical Engineering Department, Stanford University 2 Statistics Department, Stanford University rapid
More informationSTIC AmSud Project. Graph cut based segmentation of cardiac ventricles in MRI: a shape-prior based approach
STIC AmSud Project Graph cut based segmentation of cardiac ventricles in MRI: a shape-prior based approach Caroline Petitjean A joint work with Damien Grosgeorge, Pr Su Ruan, Pr JN Dacher, MD October 22,
More informationCURRICULUM VITAE. Personal Data. Education. Research Projects. Name Silvia Cristina Dias Pinto Birth January 2, 1974 Nationality Brazilian
CURRICULUM VITAE Personal Data Name Silvia Cristina Dias Pinto Birth January 2, 1974 Nationality Brazilian Address Rua Araraquara, 673 Jardim Iguatemi - Sorocaba - SP 18085-470, Brazil Phone (home) +55
More informationTUMOR DETECTION IN MRI IMAGES
TUMOR DETECTION IN MRI IMAGES Prof. Pravin P. Adivarekar, 2 Priyanka P. Khatate, 3 Punam N. Pawar Prof. Pravin P. Adivarekar, 2 Priyanka P. Khatate, 3 Punam N. Pawar Asst. Professor, 2,3 BE Student,,2,3
More informationFOREWORD TO THE SPECIAL ISSUE ON MOTION DETECTION AND COMPENSATION
Philips J. Res. 51 (1998) 197-201 FOREWORD TO THE SPECIAL ISSUE ON MOTION DETECTION AND COMPENSATION This special issue of Philips Journalof Research includes a number of papers presented at a Philips
More informationCalculating the Distance Map for Binary Sampled Data
MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Calculating the Distance Map for Binary Sampled Data Sarah F. Frisken Gibson TR99-6 December 999 Abstract High quality rendering and physics-based
More informationEPI Data Are Acquired Serially. EPI Data Are Acquired Serially 10/23/2011. Functional Connectivity Preprocessing. fmri Preprocessing
Functional Connectivity Preprocessing Geometric distortion Head motion Geometric distortion Head motion EPI Data Are Acquired Serially EPI Data Are Acquired Serially descending 1 EPI Data Are Acquired
More informationAn Efficient Method for Solving the Direct Kinematics of Parallel Manipulators Following a Trajectory
An Efficient Method for Solving the Direct Kinematics of Parallel Manipulators Following a Trajectory Roshdy Foaad Abo-Shanab Kafr Elsheikh University/Department of Mechanical Engineering, Kafr Elsheikh,
More informationBen-Moshe Boaz - Curriculum Vitae
Ben-Moshe Boaz - Curriculum Vitae Personal Details Date of birth : April 2, 1971 Place of birth : Israel Email: benmo@yosh.ac.il URL: http://www.yosh.ac.il/dom/bbm Work address: School of Computer Science
More informationGradient-Echo. Spin-Echo. Echo planar. Assessment of Regional Function Assessment of Global. Parallel Imaging. Function. Steady State Imaging
Gradient-Echo Spin-Echo James W. Goldfarb Ph.D. Department of Research and Education St. Francis Hospital Program in Biomedical Engineering SUNY Stony Brook Echo planar Assessment of Regional Function
More informationSPM8 for Basic and Clinical Investigators. Preprocessing
SPM8 for Basic and Clinical Investigators Preprocessing fmri Preprocessing Slice timing correction Geometric distortion correction Head motion correction Temporal filtering Intensity normalization Spatial
More informationM R I Physics Course
M R I Physics Course Multichannel Technology & Parallel Imaging Nathan Yanasak, Ph.D. Jerry Allison Ph.D. Tom Lavin, B.S. Department of Radiology Medical College of Georgia References: 1) The Physics of
More informationHead motion in diffusion MRI
Head motion in diffusion MRI Anastasia Yendiki HMS/MGH/MIT Athinoula A. Martinos Center for Biomedical Imaging 11/06/13 Head motion in diffusion MRI 0/33 Diffusion contrast Basic principle of diffusion
More informationData Representation in Visualisation
Data Representation in Visualisation Visualisation Lecture 4 Taku Komura Institute for Perception, Action & Behaviour School of Informatics Taku Komura Data Representation 1 Data Representation We have
More informationDEPARTMENT OF COMPUTER SCIENCE
Department of Computer Science 1 DEPARTMENT OF COMPUTER SCIENCE Office in Computer Science Building, Room 279 (970) 491-5792 cs.colostate.edu (http://www.cs.colostate.edu) Professor L. Darrell Whitley,
More informationTHE STEP BY STEP INTERACTIVE GUIDE
COMSATS Institute of Information Technology, Islamabad PAKISTAN A MATLAB BASED INTERACTIVE GRAPHICAL USER INTERFACE FOR ADVANCE IMAGE RECONSTRUCTION ALGORITHMS IN MRI Medical Image Processing Research
More informationTetrahedral Mesh Generation for Medical Imaging
Tetrahedral Mesh Generation for Medical Imaging Andriy Fedorov 1,2,3, Nikos Chrisochoides 1,2,3, Ron Kikinis 2, and Simon Warfield 2,3 1 Department of Computer Science, College of William and Mary, Williamsburg,
More informationMRI Physics II: Gradients, Imaging
MRI Physics II: Gradients, Imaging Douglas C., Ph.D. Dept. of Biomedical Engineering University of Michigan, Ann Arbor Magnetic Fields in MRI B 0 The main magnetic field. Always on (0.5-7 T) Magnetizes
More informationFmri Spatial Processing
Educational Course: Fmri Spatial Processing Ray Razlighi Jun. 8, 2014 Spatial Processing Spatial Re-alignment Geometric distortion correction Spatial Normalization Smoothing Why, When, How, Which Why is
More informationINDEPENDENT COMPONENT ANALYSIS APPLIED TO fmri DATA: A GENERATIVE MODEL FOR VALIDATING RESULTS
INDEPENDENT COMPONENT ANALYSIS APPLIED TO fmri DATA: A GENERATIVE MODEL FOR VALIDATING RESULTS V. Calhoun 1,2, T. Adali, 2 and G. Pearlson 1 1 Johns Hopkins University Division of Psychiatric Neuro-Imaging,
More informationSpiral keyhole imaging for MR fingerprinting
Spiral keyhole imaging for MR fingerprinting Guido Buonincontri 1, Laura Biagi 1,2, Pedro A Gómez 3,4, Rolf F Schulte 4, Michela Tosetti 1,2 1 IMAGO7 Research Center, Pisa, Italy 2 IRCCS Stella Maris,
More informationMRI Imaging Options. Frank R. Korosec, Ph.D. Departments of Radiology and Medical Physics University of Wisconsin Madison
MRI Imaging Options Frank R. Korosec, Ph.D. Departments of Radiolog and Medical Phsics Universit of Wisconsin Madison f.korosec@hosp.wisc.edu As MR imaging becomes more developed, more imaging options
More informationACQUIRING AND PROCESSING SUSCEPTIBILITY WEIGHTED IMAGING (SWI) DATA ON GE 3.0T
ACQUIRING AND PROCESSING SUSCEPTIBILITY WEIGHTED IMAGING (SWI) DATA ON GE 3.0T Revision date: 12/13/2010 Overview Susceptibility Weighted Imaging (SWI) is a relatively new data acquisition and processing
More informationGPRS ECG GPRS. Real Time. Bluetooth. Telecontrol or Telemonitoring (Telemedicine) J2ME GPRS
MRI Bluetooth Real Time Telecontrol or Telemonitoring (Telemedicine) J2ME multi-server, multi-client mobile [7] distribution system 2006 Shihab, M. Shahina R. Habib 1998 GSM M. Bluetooth [8] Alhakim et
More informationA Novel Iterative Thresholding Algorithm for Compressed Sensing Reconstruction of Quantitative MRI Parameters from Insufficient Data
A Novel Iterative Thresholding Algorithm for Compressed Sensing Reconstruction of Quantitative MRI Parameters from Insufficient Data Alexey Samsonov, Julia Velikina Departments of Radiology and Medical
More informationEnhanced DICOM MR for spectroscopy, structural and functional imaging
The Medicine Behind the Image Enhanced DICOM MR for spectroscopy, structural and functional imaging Dr. David A. Clunie, MB.,BS., FRACR Chief Technology Officer RadPharm, Inc. Acknowledgments Mark Day,
More informationA Ray-based Approach for Boundary Estimation of Fiber Bundles Derived from Diffusion Tensor Imaging
A Ray-based Approach for Boundary Estimation of Fiber Bundles Derived from Diffusion Tensor Imaging M. H. A. Bauer 1,3, S. Barbieri 2, J. Klein 2, J. Egger 1,3, D. Kuhnt 1, B. Freisleben 3, H.-K. Hahn
More informationHST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis Fall 2008
MIT OpenCourseWare http://ocw.mit.edu HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.
More informationdesign as a constrained maximization problem. In principle, CODE seeks to maximize the b-value, defined as, where
Optimal design of motion-compensated diffusion gradient waveforms Óscar Peña-Nogales 1, Rodrigo de Luis-Garcia 1, Santiago Aja-Fernández 1,Yuxin Zhang 2,3, James H. Holmes 2,Diego Hernando 2,3 1 Laboratorio
More informationSteen Moeller Center for Magnetic Resonance research University of Minnesota
Steen Moeller Center for Magnetic Resonance research University of Minnesota moeller@cmrr.umn.edu Lot of material is from a talk by Douglas C. Noll Department of Biomedical Engineering Functional MRI Laboratory
More informationCompressed Sensing Reconstructions for Dynamic Contrast Enhanced MRI
1 Compressed Sensing Reconstructions for Dynamic Contrast Enhanced MRI Kevin T. Looby klooby@stanford.edu ABSTRACT The temporal resolution necessary for dynamic contrast enhanced (DCE) magnetic resonance
More informationRendering and Modeling of Transparent Objects. Minglun Gong Dept. of CS, Memorial Univ.
Rendering and Modeling of Transparent Objects Minglun Gong Dept. of CS, Memorial Univ. Capture transparent object appearance Using frequency based environmental matting Reduce number of input images needed
More informationDr. Ahmed K. Sadek 2. Experience
Dr. Ahmed K. Sadek Education University of Maryland, College Park Ph.D. in Electrical and Computer Engineering, GPA = 4.0/4.0, May 2007 Thesis title: Cross-Layer Design for Cooperative Communications and
More informationANATOMICAL MODELS FOR VIRTUAL REALITY AND WEB-BASED APPLICATIONS
ANATOMICAL MODELS FOR VIRTUAL REALITY AND WEB-BASED APPLICATIONS M. A. Villaseñor, F. Flores and M. E. Algorri Department of Digital Systems, Instituto Tecnológico Autónomo de México, Mexico City, Mexico
More informationData Hiding in Video
Data Hiding in Video J. J. Chae and B. S. Manjunath Department of Electrical and Computer Engineering University of California, Santa Barbara, CA 9316-956 Email: chaejj, manj@iplab.ece.ucsb.edu Abstract
More information