Program Information
Guidelines to Check Image Registration QA of a Clinical Deformation Registration Software: A Single Institution Preliminary Study
G Gill1*, S Souri1 , A Rea1 , Y Chen1 , J Antone1 , X Qian1 , A Riegel1 , P Taylor 1 , M Marrero 1 , F Diaz 1 , Y Cao1 , A Jamshidi1 , S Barley2 , V Sorell2 , G Karangelis2 , T Button3 , E Klein1 (1) Northwell Health, Lake Success, NY, (2) Oncology Systems Limited, Longbow Close, Shrewsbury SY1 3GZ, (3) Stony Brook University Hospital, Stony Brook, NY
Presentations
SU-F-P-54 (Sunday, July 31, 2016) 3:00 PM - 6:00 PM Room: Exhibit Hall
Purpose: The objective of this study is to verify and analyze the accuracy of a clinical deformable image registration (DIR) software.
Methods: To test clinical DIR software qualitatively and quantitatively, we focused on lung radiotherapy and analyzed a single (Lung) patient CT scan. Artificial anatomical changes were applied to account for daily variations during the course of treatment including the planning target volume (PTV) and organs at risk (OAR). The primary CT (pCT) and the structure set (pST) was deformed with commercial tool (ImSimQA-Oncology Systems Limited) and after artificial deformation (dCT and dST) sent to another commercial tool (VelocityAI-Varian Medical Systems). In Velocity, the deformed CT and structures (dCT and dST) were inversely deformed back to original primary CT (dbpCT and dbpST). We compared the dbpST and pST structure sets using similarity metrics. Furthermore, a binary deformation field vector (BDF) was created and sent to ImSimQA software for comparison with known “ground truth” deformation vector fields (DVF).
Results: An image similarity comparison was made by using “ground truth” DVF and “deformed output” BDF with an output of normalized “cross correlation (CC)” and “mutual information (MI)” in ImSimQA software. Results for the lung case were MI=0.66 and CC=0.99. The artificial structure deformation in both pST and dbpST was analyzed using DICE coefficient, mean distance to conformity (MDC) and deformation field error volume histogram (DFEVH) by comparing them before and after inverse deformation. We have noticed inadequate structure match for CTV, ITV and PTV due to close proximity of heart and overall affected by lung expansion.
Conclusion: We have seen similarity between pCT and dbpCT but not so well between pST and dbpST, because of inadequate structure deformation in clinical DIR system. This system based quality assurance test will prepare us for adopting the guidelines of upcoming AAPM task group 132 protocol.
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