Deformable image registration of CT images for automatic contour propagation in radiation therapy

被引：3

作者：

Wu, Qian ^{[1
,2
,3
,4
,5
]}

Cao, Ruifen ^{[2
,3
,5
]}

Pei, Xi ^{[2
,3
,5
]}

Jia, Jing ^{[2
,3
,5
]}

Hu, Liqin ^{[1
,2
,3
,5
]}

机构：

[1] Univ Sci & Technol China, Hefei 230027, Anhui, Peoples R China

[2] Chinese Acad Sci, Inst Nucl Energy Safety Technol, Key Lab Neutron & Radiat Safety, Hefei 230031, Peoples R China

[3] Engn Technol Res Ctr Accurate Radiotherapy Anhui, Hefei 230031, Peoples R China

[4] Anhui Med Univ, Sch Gen Educ, Hefei 230032, Anhui, Peoples R China

[5] Jiangsu Higher Educ Inst, Collaborat Innovat Ctr Radiat Med, Suzhou 215006, Peoples R China

来源：

BIO-MEDICAL MATERIALS AND ENGINEERING | 2015年 / 26卷

基金：

中国国家自然科学基金;

关键词：

Computed tomography; deformable image registration; structure delineation; contour propagation; CONCEPTUAL DESIGN;

D O I：

10.3233/BME-151399

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Radiotherapy treatment plan may be replanned due the changes of tumors and organs at risk (OARs) during the treatment. Deformable image registration (DIR) based Computed Tomography (CT) contour propagation in the routine clinical setting is expected to reduce time needed for necessary manual tumors and OARs delineations and increase the efficiency of replanning. In this study, a DIR method was developed for CT contour propagation. Prior structure delineations were incorporated into Demons DIR, which was represented by adding an intensity matching term of the delineated tissues pairs to the energy function of Demons. The performance of our DIR was evaluated with five clinical head-and-neck and five lung cancer cases. The experimental results verified the improved accuracy of the proposed registration method compared with conventional registration and Demons DIR.

引用

页码：S1037 / S1044

页数：8

共 50 条

[41] Assessment of Adaptive Radiation Therapy With deformable Image Registration Software
Mukumoto, N.
Yada, R.
Shimizu, Y.
Okumura, K.
Wang, T.
Osuga, S.
Akasaka, H.
Aoyama, Y.
Sasaki, R.
[J]. MEDICAL PHYSICS, 2017, 44 (06)
[42] Is Deformable PET/CT Registration for Contouring Target Volume Superior to Rigid Image Registration in Lung Cancer Radiation Therapy?
Dincbas, H. F.
Oksuz, D. C.
Ergen, S. A.
Ozuynuk, G.
Bol, Z.
Bakir, A.
Karacam, S.
[J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2014, 90 : S641 - S641
[43] Automatic landmark correspondence detection in medical images with an application to deformable image registration
Grewal, Monika
Wiersma, Jan
Westerveld, Henrike
Bosman, Peter A. N.
Alderliesten, Tanja
[J]. JOURNAL OF MEDICAL IMAGING, 2023, 10 (01)
[44] Contour guided deformable image registration for adaptive radiotherapy
Bosma, L.
Ries, M.
de Senneville, B. Denis
Raaymakers, B.
Zachiu, C.
[J]. RADIOTHERAPY AND ONCOLOGY, 2022, 170 : S1260 - S1261
[45] Automatic contour propagation using deformable image registration to determine delivered dose to spinal cord in head-andneck cancer radiotherapy
Yeap, P. L.
Noble, D. J.
Harrison, K.
Bates, A. M.
Burnet, N. G.
Jena, R.
Romanchikova, M.
Sutcliffe, M. P. F.
Thomas, S. J.
Barnett, G. C.
Benson, R. J.
Jefferies, S. J.
Parker, M. A.
[J]. PHYSICS IN MEDICINE AND BIOLOGY, 2017, 62 (15): : 6062 - 6073
[46] Deformable Contour Propagation of Organs at Risk in Adaptive Heaciand Neck Radiation Therapy
Tachiki, L.
Sehgal, V.
Pasha, J.
Ducote, J.
Daroui, P.
Wong, J.
[J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2014, 90 : S867 - S867
[47] Evaluation of Three Deformable Image Registration Techniques Between CT and CBCT in Prostate Cancer Radiation Therapy
Pirozzi, S.
Kruzer, A.
Richmond, H.
Nelson, A. S.
[J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2018, 102 (03): : E546 - E547
[48] Accuracy of deformable image registration techniques for alignment of longitudinal cholangiocarcinoma CT images
Sen, Anando
Anderson, Brian M.
Cazoulat, Guillaume
McCulloch, Molly M.
Elganainy, Dalia
McDonald, Brigid A.
He, Yulun
Mohamed, Abdallah S. R.
Elgohari, Baher A.
Zaid, Mohamed
Koay, Eugene J.
Brock, Kristy K.
[J]. MEDICAL PHYSICS, 2020, 47 (04) : 1670 - 1679
[49] Evaluation of deformable image registration and a motion model in CT images with limited features
Liu, F.
Hu, Y.
Zhang, Q.
Kincaid, R.
Goodman, K. A.
Mageras, G. S.
[J]. PHYSICS IN MEDICINE AND BIOLOGY, 2012, 57 (09):
[50] The Utility of Cloud Computing in Analyzing GPU-Accelerated Deformable Image Registration of CT and CBCT Images in Head and Neck Cancer Radiation Therapy
Zaki, George
Plishker, Willaim
Li, Wen
Lee, Junghoon
Quon, Harry
Wong, John
Shekher, Raj
[J]. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE, 2016, 4

← 1 2 3 4 5 →