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Program Information

Deformable Image Registration: Is It Right for Your Clinic

S Geneser
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N Kirby

K Brock

S Geneser1*, N Kirby2*, K Brock3*, (1) University of California San Francisco, San Francisco, CA, (2) University of Texas Health Science Center at San Antonio, San Antonio, Texas, (3) University of Michigan, Ann Arbor, MI


TU-E-BRB-0 (Tuesday, July 14, 2015) 1:45 PM - 2:45 PM Room: Ballroom B

Deformable image registration (DIR) is developing rapidly and is poised to substantially improve dose fusion accuracy for adaptive and retreatment planning and motion management and PET fusion to enhance contour delineation for treatment planning. However, DIR dose warping accuracy is difficult to quantify, in general, and particularly difficult to do so on a patient-specific basis.

As clinical DIR options become more widely available, there is an increased need to understand the implications of incorporating DIR into clinical workflow. Several groups have assessed DIR accuracy in clinically relevant scenarios, but no comprehensive review material is yet available. This session will also discuss aspects of the AAPM Task Group 132 on the Use of Image Registration and Data Fusion Algorithms and Techniques in Radiotherapy Treatment Planning official report, which provides recommendations for DIR clinical use.

We will summarize and compare various commercial DIR software options, outline successful clinical techniques, show specific examples with discussion of appropriate and inappropriate applications of DIR, discuss the clinical implications of DIR, provide an overview of current DIR error analysis research, review QA options and research phantom development and present TG-132 recommendations.

Learning Objectives:
1. Compare/contrast commercial DIR software and QA options
2. Overview clinical DIR workflow for retreatment
3. To understand uncertainties introduced by DIR
4. Review TG-132 proposed recommendations

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