The MSKCC Approach to IMRT. Outline

Similar documents
Disclosure. Outline. Acknowledgments. Ping Xia, Ph.D., Page 1. LINAC and MLC QA for IMRT. Received research support from Siemens Medical Solutions

IMRT site-specific procedure: Prostate (CHHiP)

Verification of dynamic and segmental IMRT delivery by dynamic log file analysis

Dosimetric impact of the 160 MLC on head and neck IMRT treatments

Calibration and quality assurance for rounded leaf-end MLC systems

Assesing multileaf collimator effect on the build-up region using Monte Carlo method

Independent monitor unit calculation for intensity modulated radiotherapy using the MIMiC multileaf collimator

Basic Radiation Oncology Physics

Acknowledgments. Ping Xia, Ph.D., UCSF. Pam Akazawa, CMD, UCSF. Cynthia Chuang, Ph.D., UCSF

Tomotherapy Physics. Machine Twinning and Quality Assurance. Emilie Soisson, MS

JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, VOLUME 7, NUMBER 3, SUMMER 2006

Data. ModuLeaf Mini Multileaf Collimator Precision Beam Shaping for Advanced Radiotherapy

The Dose Junction Issue Associated with Photon Beams for Large Volume Radiation Therapy and the Sensitivity to Set-up Error

GPU applications in Cancer Radiation Therapy at UCSD. Steve Jiang, UCSD Radiation Oncology Amit Majumdar, SDSC Dongju (DJ) Choi, SDSC

Evaluation of fluence-based dose delivery incorporating the spatial variation of dosimetric leaf gap (DLG)

A SYSTEM OF DOSIMETRIC CALCULATIONS

Dynalog data tool for IMRT plan verification

IMSURE QA SOFTWARE FAST, PRECISE QA SOFTWARE

FAST, precise. qa software

A fluence convolution method to account for respiratory motion in three-dimensional dose calculations of the liver: A Monte Carlo study

An Automated Image-based Method for Multi-Leaf Collimator Positioning Verification in Intensity Modulated Radiation Therapy

Photon beam dose distributions in 2D

Monte Carlo verification of IMRT dose distributions from a commercial treatment planning

A method for determining multileaf collimator transmission and scatter for dynamic intensity modulated radiotherapy a

An Investigation of a Model of Percentage Depth Dose for Irregularly Shaped Fields

On compensator design for photon beam intensity-modulated conformal therapy

Optimal Field Splitting for Large Intensity-Modulated Fields

IMRT and VMAT Patient Specific QA Using 2D and 3D Detector Arrays

THE WIRELESS PHANTOM PERFORM ACCURATE PATIENT QA IN LESS TIME THAN EVER!

ICARO Vienna April Implementing 3D conformal radiotherapy and IMRT in clinical practice: Recommendations of IAEA- TECDOC-1588

8/4/2016. Emerging Linac based SRS/SBRT Technologies with Modulated Arc Delivery. Disclosure. Introduction: Treatment delivery techniques

Determination of maximum leaf velocity and acceleration of a dynamic multileaf collimator: Implications for 4D radiotherapy

Coverage based treatment planning to accommodate organ deformable motions and contouring uncertainties for prostate treatment. Huijun Xu, Ph.D.

Applied Optimization Application to Intensity-Modulated Radiation Therapy (IMRT)

Creating a Knowledge Based Model using RapidPlan TM : The Henry Ford Experience

An experimental investigation on the effect of beam angle optimization on the reduction of beam numbers in IMRT of head and neck tumors

7/29/2017. Making Better IMRT Plans Using a New Direct Aperture Optimization Approach. Aim of Radiotherapy Research. Aim of Radiotherapy Research

ADVANCING CANCER TREATMENT

Analysis of Radiation Transport through Multileaf Collimators Using BEAMnrc Code

Iterative regularization in intensity-modulated radiation therapy optimization. Carlsson, F. and Forsgren, A. Med. Phys. 33 (1), January 2006.

Volumetric Modulated Arc Therapy - Clinical Implementation. Outline. Acknowledgement. History of VMAT. IMAT Basics of IMAT

3DVH : SUN NUCLEAR On The Accuracy Of The corporation Planned Dose Perturbation Algorithm Your Most Valuable QA and Dosimetry Tools *Patent Pending

VMAT for dummies: Concepts, Clinical Implementation and Treatment Planning. Rajat Kudchadker, Ph.D. Associate Professor

Proton dose calculation algorithms and configuration data

ADVANCING CANCER TREATMENT

Hugues Mailleux Medical Physics Department Institut Paoli-Calmettes Marseille France. Sunday 17 July 2016

Comparison of 3D and 2D gamma passing rate criteria for detection sensitivity to IMRT delivery errors

Using multileaf collimator interleaf leakage to extract absolute spatial information from electronic portal imaging device images

Current state of multi-criteria treatment planning

LUP. Lund University Publications. Institutional Repository of Lund University

A Mimetic Algorithm for Simultaneous Multileaf Collimator Aperture Shape and Dosimetric Optimization in CyberKnife Robotic Radiosurgery

Dose Calculation and Optimization Algorithms: A Clinical Perspective

Medical Dosimetry 37 (2012) Medical Dosimetry. journal homepage:

Auto-Segmentation Using Deformable Image Registration. Disclosure. Objectives 8/4/2011

Agility MLC transmission optimization in the Monaco treatment planning system

Facility Questionnaire PART I (General Information for 3DCRT and IMRT)

PCRT 3D. Scalable Architecture System. User-Friendly. Traceable. Continuos Development

Applied Optimization Application to Intensity-Modulated Radiation Therapy (IMRT)

Tumor motion during liver SBRT

New algorithms for target delineation and radiation delivery in intensity-modulated radiation therapy

radiotherapy Andrew Godley, Ergun Ahunbay, Cheng Peng, and X. Allen Li NCAAPM Spring Meeting 2010 Madison, WI

Investigation of tilted dose kernels for portal dose prediction in a-si electronic portal imagers

Analysis of RapidArc optimization strategies using objective function values and dose-volume histograms

Evaluation of 3D Gamma index calculation implemented in two commercial dosimetry systems

Advanced Radiotherapy

JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, VOLUME 8, NUMBER 1, WINTER 2007

Monaco VMAT. The Next Generation in IMRT/VMAT Planning. Paulo Mathias Customer Support TPS Application

Monaco Concepts and IMRT / VMAT Planning LTAMON0003 / 3.0

Outline. Outline 7/24/2014. Fast, near real-time, Monte Carlo dose calculations using GPU. Xun Jia Ph.D. GPU Monte Carlo. Clinical Applications

IAEA-TECDOC-1583 Commissioning of Radiotherapy Treatment Planning Systems: Testing for Typical External Beam Treatment Techniques

TEPZZ Z754_7A_T EP A1 (19) (11) EP A1 (12) EUROPEAN PATENT APPLICATION. (51) Int Cl.: A61N 5/10 ( )

4 Measurement. and Analysis. 4.1 Overview and Underlying Principles 4-1

Quality assurance of a helical tomotherapy machine

Chapter 9 Field Shaping: Scanning Beam

Machine and Physics Data Guide

Implementation of Filtered back Projection (FBP) Theory for Intensity Modulated Radiation Therapy (IMRT) Planning

Monte Carlo methods in proton beam radiation therapy. Harald Paganetti

Radiotherapy Plan Competition TomoTherapy Planning System. Dmytro Synchuk. Ukrainian Center of TomoTherapy, Kirovograd, Ukraine

A new quadratic optimization approach to beam angle optimization for fixed-field

A secondary monitor unit calculation algorithm using superposition of symmetric, open fields for IMRT plans

Estimating 3D Respiratory Motion from Orbiting Views

Title: Toward Truly Optimal IMRT Dose Distribution: Inverse Planning with Voxel- Specific Penalty

Clinical implementation of photon beam flatness measurements to verify beam quality

NEW METHOD OF COLLECTING OUTPUT FACTORS FOR COMMISSIONING LINEAR ACCELERATORS WITH SPECIAL EMPHASIS

7/31/2011. Learning Objective. Video Positioning. 3D Surface Imaging by VisionRT

Applied Optimization: Application to Intensity-Modulated Radiation Therapy (IMRT)

Monte Carlo Methods for Accelerator Simulation and Photon Beam Modeling

FIRST DEMONSTRATION OF COMBINED KV/MV IMAGE-GUIDED REAL-TIME DYNAMIC MULTILEAF-COLLIMATOR TARGET TRACKING

Use of Monte Carlo modelling in radiotherapy linac design. David Roberts, PhD Senior Physicist Elekta

PyCMSXiO: an external interface to script treatment plans for the Elekta CMS XiO treatment planning system

A simple method to test geometrical reliability of digital reconstructed radiograph (DRR)

A method for deconvolution of integrated electronic portal images to obtain incident fluence for dose reconstruction

Interactive Treatment Planning in Cancer Radiotherapy

MCNP4C3-BASED SIMULATION OF A MEDICAL LINEAR ACCELERATOR

An experimental comparison of conventional two-bank and novel four-bank dynamic MLC tracking

Megan A. Wood, M.S. Under the direction of Larry DeWerd, Ph.D. University of Wisconsin Medical Radiation Research Center (UWMRRC)

Photon Dose Algorithms and Physics Data Modeling in modern RTP

Verification of dose calculations with a clinical treatment planning system based on a point kernel dose engine

MR-guided radiotherapy: Vision, status and research at the UMC Utrecht. Dipl. Ing. Dr. Markus Glitzner

Determination of rotations in three dimensions using two-dimensional portal image registration

Transcription:

The MSKCC Approach to IMRT Spiridon V. Spirou, PhD Department of Medical Physics Memorial Sloan-Kettering Cancer Center New York, NY Outline Optimization Field splitting Delivery Independent verification for IMRT Examples Prostate Nasopharynx Whole Abdomen 1

Optimization Quadratic objective function Gradient minimization methods Smoothing Multiple loops Other features: Optimization over a pre-existing distribution The Objective Function N pts ( Di Dpresc ) 2 i= 1 N pts 1 F = + w Di D 2 target min ( min ) N pts i= 1 N pts + w Di D 2 max ( max ) i= 1 Prescription dose Homogeneity terms included only if constraint violated F organ = max dose constraint + dv constraint Volume V dv D dv Dose 2

Smoothing of Intensity Profiles Local fluctuations in intensity profile due to numerical artifacts. Little or no dosimetric advantage. Difficult to deliver, requires longer beam-on time. Susceptible to treatment uncertainties. without smoothing Smoothing of Intensity Profiles Savitzky-Golay (least squares fit) before smoothing after smoothing 3

Smoothing included as part of the Objective Function Fobj = wi i target + wi i OAR + w j j beam ( D D ) i 2 ( D D ) i 2 ( x x ) ' j p c j 2 For over & under dose in the targets For over dose in critical organs, may include dose-volume conditions For smoothness in intensity profile x j : value before smoothing x j : value after smoothing Comparison of Smoothing Approaches Smoothing outside the objective function Gentler gradients, fewer MU. Cannot distinguish between noise and dosimetrically relevant fluctuations. Smoothing within the objective function Dosimetric effect of smoothing taken into account: heavier smoothing for noise, lighter for dosimetrically relevant fluctuations. Higher profile modulation, more MU 4

Example 1: Phantom OAR 5 Smoothing at the end of each iteration Smoothing within the objective function Example 2: Paraspinal ~ 5mm separation Cord Goal: Given that 95% of the must receive the prescription dose, what is the best Cord protection that can be achieved? 5

Paraspinal 90 40 30 Cord Smoothing at the end of each iteration Smoothing within the objective function Paraspinal 120 Smoothing within the objective function Smoothing at the end of each iteration Volume (%) 80 60 40 95 90 85 70 80 90 110 20 Cord 0 0 20 40 60 80 120 140 Dose (%) 6

Multiple loops More accurate incorporation of scattered dose in optimization For efficiency, scattered dose is only partially accounted for in optimization. Discrepancy with full-scatter dose calculation. Repeated cycles of optimizations and full-scatter dose calculations required to achieve optimal results. Volume (%) 80 60 40 20 Cord 0 0 20 40 60 80 120 Dose (%) Optimization Full scatter dose calc. More accurate incorporation of scattered dose in optimization: Iterative correction process Correction factor C i = 0 Optimization based on partial scattered dose calculation P i Intensity profiles Total dose D i = P i + C i Update C i = C i + δ i N δ i = F i -D i δ i < tolerance? F i calculated with full scattered dose Y done 7

More accurate incorporation of scattered dose in optimization: Iterative correction process Volume (%) 80 60 40 Cord Volume (%) 80 60 40 Cord 20 20 0 0 20 40 60 80 120 Dose (%) No correction 0 0 20 40 60 80 120 Dose (%) With correction Optimization Full scatter dose calc. Splitting Large IM Fields Considerations for automatic splitting Smooth subfields - no discontinuities. Split along a straight line or at a region of low intensity. Use feathering to reduce the effects of positioning uncertainties. Sub-fields should be designed to minimize beam-on time (MU). 8

Splitting Large IM Fields Example: nasopharynx PA field Before splitting After splitting Splitting Large IM Fields Example: nasopharynx PA field Leaf Pair 18 15 15 Intensity (MU) 10 5 Intensity (MU) 10 5 0-4 -2 0 2 4 X (cm) 0-4 -2 0 2 4 X (cm) Before splitting After splitting 9

Leaf Sequencer DMLC - Sliding window Accounts for: Mechanical limitations (e.g. leaf speed) Direct exposure Transmission through the leaves Rounded leaf-ends Scatter source Intensity under the leaves beam I(x) 1 P 1 : direct exposure P 2 : leaf rounded end P 3 : leaf transmission ε P 1 P 2 P 3 x 10

Variation of Output with Field Size Backprojection to the source plane Primary Source Scatter Source Source plane left leaf right leaf MLC opening MLC plane P P Isocenter plane Iterative process to generate leaf paths Desired fluence profile F(x) Assign F work (x) = F(x) Calculate leaf paths using F work (x) Modify working profile F work (x) = F work (x) - E(x) Calculate generated profile F g (x) taking all factors into account Calculate error E(x) = F g (x) - F(x) N error acceptable? Y finish 11

Independent verification for IMRT (a regulatory requirement) A separate program Input: Leaf sequencing file Beam-on time Jaw settings Beam data Factors accounted for: Rounded leaf ends Leaf transmission Tongue-and-groove Scatter source MLC scatter Output: Dose to points or planes in phantom 10 20 30 40 50 60 70 80 Calculation Measurement Prostate Similar anatomically and geometrically Prescription dose: 8640 or 8 cgy Fixed beam angles - 5 fields Template of optimization parameters and constraints 12

Prostate 8 cgy 109 90 70 50 Rectum Volume (%) 80 60 40 Rectum Bladder 20 0 0 20 40 60 80 120 Dose (%) Nasopharynx Prescription dose: 5400 cgy to microscopic disease 7000 cgy to gross disease Fixed beam angles - 7 fields 9 or 10 fields after splitting Template of optimization parameters and constraints 13

Nasopharynx 7000 cgy 80 Volume (%) 60 40 20 54 70 Bstem Cord R. parotid 0 0 2000 4000 6000 8000 Dose (cgy) 8400 7000 5400 4500 3500 70 54 Cord Parotid Whole Abdomen Conventional treatment: AP/PA, 6MV, extended distance Prescription dose: 3000 cgy Blocks to keep kidneys at 1800 cgy IMRT 5 fields, 15MV, isocentric Large fields: 2 isocenters, split fields in 3 Large volumes: little scatter accounted for in optimization (use multiple loops ) 14

Whole Abdomen 325 Ant 35 255 105 x Abdominal ISO Lt PA 15 MV 180 x Pelvic ISO Abdominal PA field Superior Left kidney Right kidney Right Junction 15

Abdominal PA Field: Beam Splitting Middle Part Left Part Right Part Whole Abdomen: Sagittal plane 115 110 90 70 50 Abdominal ISO Homogeneous Dose Distribution in Junction Pelvic ISO 16

Whole Abdomen: Coronal plane 115 110 90 70 50 Abdominal ISO Homogeneous Dose Distribution in Junction Pelvic ISO Whole Abdomen Pelvic bones IMRT Conventional 17

References Hong L et al. IMRT of Large Fields: Whole Abdomen Irradiation. Int J Radiat Oncol Biol Phys in press. Hong L et al. Intensity-modulated tangential beam irradiation of the intact breast. Int J Radiat Oncol Biol Phys 44:1155-64. (1999). Hunt MA et al. Evaluation of concave dose distributions created using an inverse planning system. Int J Radiat Oncol Biol Phys in press. Hunt MA et al. Treatment planning and delivery of intensity-modulated radiation therapy for primary nasopharynx cancer. Int J Radiat Oncol Biol Phys 49:623-32. (2001). Chui CS et al. Delivery of intensity-modulated radiation therapy with a conventional multileaf collimator: comparison of dynamic and segmental methods. Med Phys 28:2441-9. (2001). Chui CS et al. A simplified intensity modulated radiation therapy technique for the breast. Med Phys 29:522-9. (2002). Burman C et al. Planning, delivery, and quality assurance of intensity-modulated radiotherapy using dynamic multileaf collimator: a strategy for large- scale implementation for the treatment of carcinoma of the prostate. Int J Radiat Oncol Biol Phys 39:863-73. (1997). References Ling CC et al. Conformal radiation treatment of prostate cancer using inverselyplanned intensity-modulated photon beams produced with dynamic multileaf collimation. Int J Radiat Oncol Biol Phys 35:721-30. (1996). LoSasso T et al. Comprehensive quality assurance for the delivery of intensity modulated radiotherapy with a multileaf collimator used in the dynamic mode. Med Phys 28:2209-19. (2001). LoSasso T et al. Physical and dosimetric aspects of a multileaf collimation system used in the dynamic mode for implementing intensity modulated radiotherapy. Med Phys 25:1919-27. (1998). Spirou SV and Chui CS. Generation of arbitrary intensity profiles by dynamic jaws or multileaf collimators. Med Phys 21:1031-41. (1994). Spirou SV and Chui CS. A gradient inverse planning algorithm with dose-volume constraints. Med Phys 25:321-33. (1998). Spirou SV et al. Smoothing intensity-modulated beam profiles to improve the efficiency of delivery. Med Phys 28:2105-12. (2001). Zelefsky MJ et al. Clinical experience with intensity modulated radiation therapy (IMRT) in prostate cancer. Radiother Oncol 55:241-9. (2000) 18