TH-EF-BRA-09: CT Number and Size Variations of Well-Known Mobile Targets in Deformable Image Registration Algorithms in CT Images with Motion Artifacts Induced by Controlled Motion Patterns

2015 ◽  
Vol 42 (6Part44) ◽  
pp. 3746-3747
Author(s):  
J Jaskowiak ◽  
N Alsbou ◽  
O Algan ◽  
S Ahmad ◽  
I Ali
Keyword(s):  
Image Registration ◽  
Deformable Image Registration ◽  
Ct Images ◽  
Motion Artifacts ◽  
Ct Number ◽  
Motion Patterns ◽  
Mobile Targets ◽  
Controlled Motion

scholarly journals [P232] Deformable image registration for CT-images of the thorax region

2018 ◽  
Vol 52 ◽  
pp. 166-167
Author(s):  
Sebastian Sarudis ◽  
Anna Karlsson ◽  
Dan Bibac ◽  
Jan Nyman ◽  
Anna Bäck
Keyword(s):  
Image Registration ◽  
Deformable Image Registration ◽  
Ct Images

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

Cancers ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1447 ◽  
Author(s):  
Yoshiki Kubota ◽  
Masahiko Okamoto ◽  
Yang Li ◽  
Shintaro Shiba ◽  
Shohei Okazaki ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Image Registration ◽  
Prone Position ◽  
Supine Position ◽  
Deformable Image Registration ◽  
Pancreatic Cancer Patient ◽  
Target Volume ◽  
Ct Images ◽  
Registration Accuracy ◽  
Computed Tomography Images

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.

scholarly journals Biomechanical deformable image registration of longitudinal lung CT images using vessel information

2016 ◽  
Vol 61 (13) ◽  
pp. 4826-4839 ◽  
Author(s):  
Guillaume Cazoulat ◽  
Dawn Owen ◽  
Martha M Matuszak ◽  
James M Balter ◽  
Kristy K Brock
Keyword(s):  
Image Registration ◽  
Deformable Image Registration ◽  
Ct Images ◽  
Lung Ct

SU-EE-A3-06: Deformable Image Registration in Cone-Beam CT Images for Image-Guided Adaptive Radiotherapy

2006 ◽  
Vol 33 (6Part2) ◽  
pp. 1995-1995
Author(s):  
L Zhang ◽  
L Dong ◽  
X Zhu ◽  
A Garden ◽  
A Ahamad ◽  
...  
Keyword(s):  
Image Registration ◽  
Cone Beam Ct ◽  
Deformable Image Registration ◽  
Ct Images ◽  
Adaptive Radiotherapy ◽  
Cone Beam ◽  
Image Guided
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