Vasculature-Driven Biomechanical Deformable Image Registration of Longitudinal Liver Cholangiocarcinoma Computed Tomographic Scans
| Autor: | Eugene J. Koay, Peter C. Park, Dalia Elganainy, Kristy K. Brock, Guillaume Cazoulat, Mohamed Zaid, Brian M. Anderson |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
lcsh:Medical physics. Medical radiology. Nuclear medicine
Future studies business.industry medicine.medical_treatment lcsh:R895-920 Treatment outcome Disease progression Image registration medicine.disease lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens lcsh:RC254-282 030218 nuclear medicine & medical imaging Computed tomographic Radiation therapy 03 medical and health sciences 0302 clinical medicine Oncology 030220 oncology & carcinogenesis Medicine Radiology Nuclear Medicine and imaging Biomechanical model Physics Contribution business Liver cancer Nuclear medicine |
| Zdroj: | Advances in Radiation Oncology, Vol 5, Iss 2, Pp 269-278 (2020) Advances in Radiation Oncology |
| ISSN: | 2452-1094 |
| Popis: | Purpose Deformable image registration (DIR) of longitudinal liver cancer computed tomographic (CT) images can be challenging owing to anatomic changes caused by radiation therapy (RT) or disease progression. We propose a workflow for the DIR of longitudinal contrast-enhanced CT scans of liver cancer based on a biomechanical model of the liver driven by boundary conditions on the liver surface and centerline of an autosegmentation of the vasculature. Methods and Materials Pre- and post-RT CT scans acquired with a median gap of 112 (32-217) days for 28 patients who underwent RT for intrahepatic cholangiocarcinoma were retrospectively analyzed. For each patient, 5 corresponding anatomic landmarks in pre- and post-RT scans were identified in the liver by a clinical expert for evaluation of the accuracy of different DIR strategies. The first strategy corresponded to the use of a biomechanical model-based DIR method with boundary conditions specified on the liver surface (BM_DIR). The second strategy corresponded to the use of an expansion of BM_DIR consisting of the auto-segmentation of the liver vasculature to determine additional boundary conditions in the biomechanical model (BM_DIR_VBC). The 2 strategies were also compared with an intensity-based DIR strategy using a Demons algorithms. Results The group mean target registration errors were 12.4 ± 7.5, 7.7 ± 3.7 and 4.4 ± 2.5 mm, for the Demons, BM_DIR and BM_DIR_VBC, respectively. Conclusions In regard to the large and complex deformation observed in this study and the achieved accuracy of 4.4 mm, the proposed BM_DIR_VBC method might reveal itself as a valuable tool in future studies on the relationship between delivered dose and treatment outcome. |
| Databáze: | OpenAIRE |
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