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

deformable image registration accuracy intensity- and contour-based deformable image registration mean displacement to agreement pancreatic cancer

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
27 Sep 2019
Historique:
received: 02 09 2019
revised: 25 09 2019
accepted: 26 09 2019
entrez: 2 10 2019
pubmed: 2 10 2019
medline: 2 10 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 31569617
pii: cancers11101447
doi: 10.3390/cancers11101447
pmc: PMC6826682
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Yoshiki Kubota (Y)

Gunma University Heavy Ion Medical Center, Maebashi 371, Japan. y_kubota@gunma-u.ac.jp.

Masahiko Okamoto (M)

Gunma University Heavy Ion Medical Center, Maebashi 371, Japan. okamott@gunma-u.ac.jp.

Yang Li (Y)

Graduate School of Medicine, Gunma University, Maebashi 371, Japan. dr.yang.li@foxmail.com.

Shintaro Shiba (S)

Graduate School of Medicine, Gunma University, Maebashi 371, Japan. shiba4885@yahoo.co.jp.

Shohei Okazaki (S)

Gunma University Heavy Ion Medical Center, Maebashi 371, Japan. o_syohei_1015@yahoo.co.jp.

Shuichiro Komatsu (S)

Gunma University Heavy Ion Medical Center, Maebashi 371, Japan. shuichiro.for.precious@gmail.com.

Makoto Sakai (M)

Gunma University Heavy Ion Medical Center, Maebashi 371, Japan.

Nobuteru Kubo (N)

Gunma University Heavy Ion Medical Center, Maebashi 371, Japan. kubo0330@gmail.com.

Tatsuya Ohno (T)

Gunma University Heavy Ion Medical Center, Maebashi 371, Japan. tohno@gunma-u.ac.jp.

Takashi Nakano (T)

Gunma University Heavy Ion Medical Center, Maebashi 371, Japan. nakano.takashi2@qst.go.jp.

Classifications MeSH