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

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:...

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Main Authors: Yoshiki Kubota, Masahiko Okamoto, Yang Li, Shintaro Shiba, Shohei Okazaki, Shuichiro Komatsu, Makoto Sakai, Nobuteru Kubo, Tatsuya Ohno, Takashi Nakano
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/11/10/1447
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spelling doaj-d0760ed04f164e26b15128e09d58d9652020-11-25T00:39:17ZengMDPI AGCancers2072-66942019-09-011110144710.3390/cancers11101447cancers11101447Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer PatientsYoshiki Kubota0Masahiko Okamoto1Yang Li2Shintaro Shiba3Shohei Okazaki4Shuichiro Komatsu5Makoto Sakai6Nobuteru Kubo7Tatsuya Ohno8Takashi Nakano9Gunma University Heavy Ion Medical Center, Maebashi 371, JapanGunma University Heavy Ion Medical Center, Maebashi 371, JapanGraduate School of Medicine, Gunma University, Maebashi 371, JapanGraduate School of Medicine, Gunma University, Maebashi 371, JapanGunma University Heavy Ion Medical Center, Maebashi 371, JapanGunma University Heavy Ion Medical Center, Maebashi 371, JapanGunma University Heavy Ion Medical Center, Maebashi 371, JapanGunma University Heavy Ion Medical Center, Maebashi 371, JapanGunma University Heavy Ion Medical Center, Maebashi 371, JapanGunma University Heavy Ion Medical Center, Maebashi 371, JapanWe 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.https://www.mdpi.com/2072-6694/11/10/1447deformable image registration accuracypancreatic cancerintensity- and contour-based deformable image registrationmean displacement to agreement
collection DOAJ
language English
format Article
sources DOAJ
author Yoshiki Kubota
Masahiko Okamoto
Yang Li
Shintaro Shiba
Shohei Okazaki
Shuichiro Komatsu
Makoto Sakai
Nobuteru Kubo
Tatsuya Ohno
Takashi Nakano
spellingShingle Yoshiki Kubota
Masahiko Okamoto
Yang Li
Shintaro Shiba
Shohei Okazaki
Shuichiro Komatsu
Makoto Sakai
Nobuteru Kubo
Tatsuya Ohno
Takashi Nakano
Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients
Cancers
deformable image registration accuracy
pancreatic cancer
intensity- and contour-based deformable image registration
mean displacement to agreement
author_facet Yoshiki Kubota
Masahiko Okamoto
Yang Li
Shintaro Shiba
Shohei Okazaki
Shuichiro Komatsu
Makoto Sakai
Nobuteru Kubo
Tatsuya Ohno
Takashi Nakano
author_sort Yoshiki Kubota
title Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients
title_short Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients
title_full Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients
title_fullStr Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients
title_full_unstemmed Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients
title_sort evaluation of intensity- and contour-based deformable image registration accuracy in pancreatic cancer patients
publisher MDPI AG
series Cancers
issn 2072-6694
publishDate 2019-09-01
description 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.
topic deformable image registration accuracy
pancreatic cancer
intensity- and contour-based deformable image registration
mean displacement to agreement
url https://www.mdpi.com/2072-6694/11/10/1447
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