
Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy
Author(s) -
Motegi Kana,
Tachibana Hidenobu,
Motegi Atsushi,
Hotta Kenji,
Baba Hiromi,
Akimoto Tetsuo
Publication year - 2019
Publication title -
journal of applied clinical medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.83
H-Index - 48
ISSN - 1526-9914
DOI - 10.1002/acm2.12515
Subject(s) - nuclear medicine , rectum , medicine , prostate , radiation therapy , prostate cancer , image registration , centroid , region of interest , radiation treatment planning , algorithm , artificial intelligence , radiology , computer science , surgery , cancer , image (mathematics)
To evaluate the accuracy of commercially available hybrid deformable image registration ( DIR ) algorithms when using planning CT ( pCT ) and daily cone‐beam computed tomography ( CBCT ) in radiation therapy for prostate cancer. The hybrid DIR algorithms in RayStation and MIM Maestro were evaluated. Contours of the prostate, bladder, rectum, and seminal vesicles ( SV s) were used as region‐of‐interest ( ROI s) to guide image deformation in the hybrid DIR and to compare the DIR accuracy. To evaluate robustness of the hybrid DIR for prostate cancer patients with organs with volume that vary on a daily basis, such as the bladder and rectum, the DIR algorithms were performed on ten pairs of CT volumes from ten patients who underwent prostate intensity‐modulated radiation therapy or volumetric modulated arc therapy. In a visual evaluation, MIM caused unrealistic image deformation in soft tissues, organs, and pelvic bones. The mean dice similarity coefficient ( DSC ) ranged from 0.46 to 0.90 for the prostate, bladder, rectum, and SV s; the SV s had the lowest DSC . Target registration error ( TRE ) at the centroid of the ROI s was about 2 mm for the prostate and bladder, and about 6 mm for the rectum and SV s. RayStation did not cause unrealistic image deformation, and could maintain the shape of pelvic bones in most cases. The mean DSC and TRE at the centroid of the ROI s were about 0.9 and within 5 mm generally. In both software programs, the use of ROI s to guide image deformation had the possibility to reduce any unrealistic image deformation and might be effective to keep the DIR physically reasonable. The pCT / CBCT DIR for the prostate cancer did not reduce the DIR accuracy because of the use of ROI s to guide the image deformation.