A comparison of rigid registration methods for prostate localization on CBCT and the dependence on rectum distension

17th International Conference on the Use of Computers in Radiation Therapy

物理学;计算机科学

Boydev, C.^1,2 ; Pasquier, D.^3,4 ; Derraz, F.^1,5 ; Peyrodie, L.^6 ; Taleb-Ahmed, A.^1 ; Thiran, J.P.^2,7

Laboratoire d'Automatique, De Mécanique et d'Informatique Industrielles et Humaines (LAMIH), Université de Valenciennes et du Hainaut-Cambrésis, France^1

Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Switzerland^2

Centre de Radiothérapie et d'Oncologie Galilée de Lille, France^3

Département Universitaire de Radiothérapie, Centre Oscar Lambret, Lille, France^4

Unité de Traitements de Signaux Biomédicaux (UTSB), Faculté Libre de Médecine, Lille, France^5

Unité de Traitements de Signaux Biomédicaux (UTSB), Hautes Études d'Ingénieur, Lille, France^6

Department of Radiology, University Hospital Center (CHUV), University of Lausanne (UNIL), Switzerland^7

关键词: Bony structures;    Clinical target volumes;    Computed tomography scan;    Global registration;    Prostate localization;    Radiation oncologists;    Rigid registration;    Similarity coefficients;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/489/1/012025/pdf
DOI  :  10.1088/1742-6596/489/1/012025

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

We evaluated automatic three-dimensional intensity-based rigid registration (RR) methods for prostate localization on CBCT scans and studied the impact of rectum distension on registration quality. 106 CBCT scans of 9 prostate patients were used. Each one was registered to the planning computed tomography (CT) scan using different methods: (a) global registration, (b) pelvis bony structure registration, (c) bony registration refined by a local prostate registration using the CT clinical target volume (CTV) expanded with 1, 3, 5, 8, 10, 12, 15 or 20-mm margin. Automatic CBCT contours were generated after propagation of the manual CT contours. To evaluate results, a radiation oncologist was asked to manually delineate the CTV on the CBCT scans (gold standard). The Dice similarity coefficients between propagated and manual CBCT contours were calculated.