Geometric evaluation and quantifying dosimetric impact of diverse deformable image registration algorithms on abdomen images with biomechanically modeled deformations Journal Article

   

Authors:	Liu, Y.; Zhang, P.; Hong, J.; Alam, S.; Kuo, L.; Hu, Y. C.; Lu, W.; Cerviño, L.
Article Title:	Geometric evaluation and quantifying dosimetric impact of diverse deformable image registration algorithms on abdomen images with biomechanically modeled deformations
Abstract:	Purpose: Deformable image registration (DIR) has been increasingly used in radiation therapy (RT). The accuracy of DIR algorithms and how it impacts on the RT plan dosimetrically were examined in our study for abdominal sites using biomechanically modeled deformations. Methods: Five pancreatic cancer patients were enrolled in this study. Following the guidelines of AAPM TG-132, a patient-specific quality assurance (QA) workflow was developed to evaluate DIR for the abdomen using the TG-132 recommended virtual simulation software ImSimQA (Shrewsbury, UK). First, the planning CT was deformed to simulate respiratory motion using the embedded biomechanical model in ImSimQA. Additionally, 5 mm translational motion was added to the stomach, duodenum, and small bowel. The original planning CT and the deformed CT were then imported into Eclipse and MIM to perform DIR. The output displacement vector fields (DVFs) were compared with the ground truth from ImSimQA. Furthermore, the original treatment plan was recalculated on the ground-truth deformed CT and the deformed CT (with Eclipse and MIM DVF). The dose errors were calculated on a voxel-to-voxel basis. Results: Data analysis comparing DVF from Eclipse versus MIM show the average mean DVF magnitude errors of 2.8 ± 1.0 versus 1.1 ± 0.7 mm for stomach and duodenum, 5.2 ± 4.0 versus 2.5 ± 1.0 mm for small bowel, and 4.8 ± 4.1 versus 2.7 ± 1.1 mm for the gross tumor volume (GTV), respectively, across all patients. The mean dose error on stomach+duodenum and small bowel were 2.3 ± 0.6% for Eclipse, and 1.0 ± 0.3% for MIM. As the DIR magnitude error increases, the dose error range increase, for both Eclipse and MIM. Conclusion: In our study, an initial assessment was conducted to evaluate the accuracy of DIR and its dosimetric impact on radiotherapy. A patient-specific DIR QA workflow was developed for pancreatic cancer patients. This workflow exhibits promising potential for future implementation as a clinical workflow. © 2024 The Author(s). Journal of Applied Clinical Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.
Keywords:	intensity modulated radiation therapy; pancreatic neoplasms; radiotherapy dosage; radiotherapy; tomography, x-ray computed; diagnostic imaging; algorithms; radiation response; health care quality; abdomen; algorithm; radiotherapy, intensity-modulated; dosimetry; quality assurance, health care; pancreas tumor; radiotherapy planning, computer-assisted; image processing, computer-assisted; image processing; respiration; breathing; image guided radiotherapy; procedures; biomechanics; organs at risk; radiotherapy, image-guided; humans; human; radiotherapy planning system; x-ray computed tomography; biomechanical phenomena; dir; patient-specific qa; abdomen imaging; biomechanically modeled deformations
Journal Title:	Journal of Applied Clinical Medical Physics
Volume:	25
Issue:	12
ISSN:	1526-9914
Publisher:	American College of Medical Physics
Date Published:	2024-12-01
Start Page:	e14511
Language:	English
DOI:	10.1002/acm2.14511
PUBMED:	39258711
PROVIDER:	scopus
PMCID:	PMC11633795
DOI/URL:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203546082&doi=10.1002%2facm2.14511&partnerID=40&md5=4223fe8cb0aa7b8929b1d857fbedb916
Notes:	The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PubMed record and PDF. Corresponding MSK author is Yilin Liu -- Source: Scopus

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