Medical Images Analysis and Processing
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1 Medical Images Analysis and Processing Emad
2 Course Introduction Course Information: Type: Graduated Credits: 3 Prerequisites: Digital Image Processing
3 Course Introduction Reference(s): Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis, By: T. S. Yoo, 2004 (Hardcopy) Biomedical Images Analysis, by: R. M. Rangayya, 2004, ebook. Some papers! DIP References!
4 Course Introduction Evaluation: Final: 40% Homework: 20% (Mostly Simulation) Research Project: (20+5)% In depth paper (one) study (Simulation and Judgment) Experiments on real data Medical Software 15%
5 Course Introduction Journals: IEEE Transaction on Medical Imaging (TMI), IEEE Press Medical Image Analysis, Elsevier. Computerized Medical Imaging and Graphics (CMIG) IEEE Transaction on Biomedical Engineering. (TBE) IEEE Transaction on Image Processing (IP) IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), IEEE Press. Pattern Recognition, (Pergamon-Elsevier) Pattern Recognition Letters ( Elsevier)
6 Course Introduction Course Contacts and Links: URL: Course Lecture Notes Course Electronic Homework submission (NOT.rar)! Submission rule: Subject: MIAPn:stdnum My s:
7 Course Introduction Syllabus: Introduction to Medical Images/Imaging Briefly Introduction to Digital Image Processing Segmentation (Intro to Classification?) Enhancement/Denoising Registration Interpolation Medical Image Analysis Using PDE Multilodal Image Analysis Computer Aided Diagnosis (CAD) Mostly Mammography Medical Image Analysis Software (your task!)
8 What is a medical image: A geometric distribution of a certain physical/physiological property(ies). Modalities Several images from a certain region!
9 Concepts: How to build images of internal organs of body, non-invasively. Image Modalities Pre-processing Post-Processing
10 Image Construction Goal: Draw images of a certain physical property of subject anatomy. Procedure in non-invasive. Image Geometry: Projection Tomography
11 Image Modality Based on Interested Physical Property: X-Ray (CT/Radiography) MRI (Magnetic Resonance Imaging) PET (Positron Emission Tomography) US (Ultra Sound) SPECT (Single Photon Emission CT) EIT (Electrical Impedance Tomography) Video and etc.
12 Pre-Processing Concepts: Design optimum protocol for raw data acquisition. Image reconstruction from raw data. Noise and artifact reduction in raw data space.
13 Post-Processing Concepts: Noise and artifact reduction in image space. Enhance images in Regions of Interest. Image partitioning to meaningful regions. Computer Aided Diagnosis (CAD) Multimodality Image Fusion Virtual Reality (Virtual Surgery)
14 Medical Images Categories: Number of channel: Single channel (Only one property is acquired): CT, PET, US Multichannel (More than one property are acquired): MRI
15 Medical Images Categories: Characteristic: Anatomical: Static distribution of a certain physical property, Skeleton. Physiological/Functional: Functionality or Metabolism of organs, Glucose consumption in brain.
16 Medical Images Categories: Geometry: Projective: A Straight line in the object will be mapped to a single point at images, Conventional Radiography. Tomography: Cross section of object will be imaged, Computerized Tomography. Dimensionality: 2D 3D
17 Major Properties in Medical Images: X-Ray Transmission Ultrasound Waves Reflection Radioactive annihilation Spin Density and Relaxation Times Optical (Non-Laser/Laser) Electrical Conductance
18 X-Ray Transmission: Simple Physics: I I e T 0 L Absorption coefficient (μ) of X-Ray photons (70-120Kev) are displayed as image. Projection and Tomography are possible. Hazard: Yes! Resolution: Very Good. SNR: Good. Almost Static (except for Fluoroscopy and rarely used fct,functional CT. Good contrast for hard tissue (Bones) Low Contrast for soft tissue (Muscle, Tumors)
19 X-Ray Transmission: Examples: Conventional Radiography Computerized Tomography (CT) Angiography: Some organs like as blood vessels enhanced through injection of contrast agent Digital Subtraction Angiography (DSA): Difference of two images of a single organs in the different conditions (Before and after contrast agent injection or two different X-Ray energy) are displayed. Fluoroscopy: Watch oranges while the body is under X- Ray exposure.
20 Ultrasound Wave Reflection: Ultrasound Waves: Above 20KHz. Reflection times of incident ultrasound beam are related to position of the walls. Simple Physics: x ct Physical Characteristic in Tomography Hazard: Low Resolutions: Average (Different in two dimension) SNR: Bad Anatomical and Dynamic (Movements of objects) but not metabolism Problem with objects behind bone and air (lung) Need to access to the organs only from one side (Reflection)
21 Ultrasound Wave Reflection: Examples: A-mode: 1D imaging, Eye s Layers. B-mode (Sonography): 2D imaging, fetus, Bladder, kidney, Prostate. C-mode: Tissue Characterization, Research Application. Doppler/Color Doppler: Blood Flow and Heart (Valve and Cavity) Monitoring.
22 Radioactive annihilation: Source imaging: Source of radiation is located inside body (Injection, inhalation and etc.) Source radiation (consumption) distribution are imaged. Special Drug for each organs (I 133 for Thyroid) Projection and Tomography are possible Hazard: Yes. Resolution: Low. SNR: Low. Functional (Metabolism)
23 Radioactive annihilation: Example: Gamma Camera: Projection Imaging SPECT (Single Photon Emission Computerized Tomography): Tomography PET (Positron Emission Tomography): Very interesting functional Imaging.
24 Spin Density and Relaxation Times: Based on Magnetic Resonance Properties. Properties of Proton (H + ) spin are imaged. Multichannel images: PD (Proton Density) T1: Spin-Lattice Relaxation Time. T2: Spin-Spin Relaxation Time. Data Acquisition is parametric: Several Protocols for imaging are possible. Projection and Tomography are possible. Resolution: Good SNR: Good Hazard: Very Low (But banned for patients with ferromagnetic/electrical/magnetic Devices in their body) High Contrast for soft tissue and Low for Hard tissue (bone) Static and Functional, both.
25 Spin Density and Relaxation Times: Examples: MRI: Magnetic Resonance Imaging, Brain Studies, Spin cord, Knee. fmri: Functional MRI, Blood flow, brain. MRA: Magnetic Resonance Angiography, Vessel Studies.
26 Optical: Optical Reflection Hazard: None (Patient Unconformity) Resolution: High SNR: High Examples: Endoscopy Laryngoscopy Colonoscopy Optical Tomography found in research files
27 Electrical Conductance: Electrical Impedance Tomography (EIT) Electrical Conductance (Resistance) Low Resolution Low SNR Hazard: Electrical Safety Problem. Low Price Tomography
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Vienna Computer Vision Meetup 27.01.2016 sponsored by Medical Computer Vision Markus Holzer markus@radiology-explorer.com www.radiology-explorer.com www.meduniwien.ac.at www.cir.meduniwien.ac.at Overview
COMPUTER VISION. Dr. Sukhendu Das Deptt. of Computer Science and Engg., IIT Madras, Chennai
COMPUTER VISION Dr. Sukhendu Das Deptt. of Computer Science and Engg., IIT Madras, Chennai 600036. Email: sdas@iitm.ac.in URL: //www.cs.iitm.ernet.in/~sdas 1 INTRODUCTION 2 Human Vision System (HVS) Vs.