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Open AccessArticle

Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients

1
Gunma University Heavy Ion Medical Center, Maebashi 371, Japan
2
Graduate School of Medicine, Gunma University, Maebashi 371, Japan
*
Author to whom correspondence should be addressed.
Cancers 2019, 11(10), 1447; https://doi.org/10.3390/cancers11101447
Received: 2 September 2019 / Revised: 25 September 2019 / Accepted: 26 September 2019 / Published: 27 September 2019
We aimed to clarify the accuracy of rigid image registration and deformable image registration (DIR) in carbon-ion radiotherapy (CIRT) for pancreatic cancer. Six patients with pancreatic cancer who were treated with passive irradiation CIRT were enrolled. Three registration patterns were evaluated: treatment planning computed tomography images (TPCT) to CT images acquired in the treatment room (IRCT) in the supine position, TPCT to IRCT in the prone position, and TPCT in the supine position to the prone position. After warping the contours of the original CT images to the destination CT images using deformation matrices from the registration, the warped delineated contours on the destination CT images were compared with the original ones using mean displacement to agreement (MDA). Four contours (clinical target volume (CTV), gross tumor volume (GTV), stomach, duodenum) and four registration algorithms (rigid image registration [RIR], intensity-based DIR [iDIR], contour-based DIR [cDIR], and a hybrid iDIR-cDIR ([hDIR]) were evaluated. The means ± standard deviation of the MDAs of all contours for RIR, iDIR, cDIR, and hDIR were 3.40 ± 3.30, 2.2 1± 2.48, 1.46 ± 1.49, and 1.46 ± 1.37 mm, respectively. There were significant differences between RIR and iDIR, and between RIR/iDIR and cDIR/hDIR. For the pancreatic cancer patient images, cDIR and hDIR had better accuracy than RIR and iDIR. View Full-Text
Keywords: deformable image registration accuracy; pancreatic cancer; intensity- and contour-based deformable image registration; mean displacement to agreement deformable image registration accuracy; pancreatic cancer; intensity- and contour-based deformable image registration; mean displacement to agreement
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MDPI and ACS Style

Kubota, Y.; Okamoto, M.; Li, Y.; Shiba, S.; Okazaki, S.; Komatsu, S.; Sakai, M.; Kubo, N.; Ohno, T.; Nakano, T. Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients. Cancers 2019, 11, 1447. https://doi.org/10.3390/cancers11101447

AMA Style

Kubota Y, Okamoto M, Li Y, Shiba S, Okazaki S, Komatsu S, Sakai M, Kubo N, Ohno T, Nakano T. Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients. Cancers. 2019; 11(10):1447. https://doi.org/10.3390/cancers11101447

Chicago/Turabian Style

Kubota, Yoshiki; Okamoto, Masahiko; Li, Yang; Shiba, Shintaro; Okazaki, Shohei; Komatsu, Shuichiro; Sakai, Makoto; Kubo, Nobuteru; Ohno, Tatsuya; Nakano, Takashi. 2019. "Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients" Cancers 11, no. 10: 1447. https://doi.org/10.3390/cancers11101447

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