CT/MRI hybrid registration and its application in treatment planning system(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2020年第9期
- Page:
- 1148-1154
- Research Field:
- 医学人工智能
- Publishing date:
Info
- Title:
- CT/MRI hybrid registration and its application in treatment planning system
- Author(s):
- WU Qian1; PI Yifei2; ZHOU Jieping3
- 1. School of Humanistic Medicine, Anhui Medical University, Hefei 230032, China 2. Department of Physics, University of Science
and Technology of China, Hefei 230026, China 3. Department of Radiation Oncology, Affiliated Hospital of University of Science and
Technology of China, Hefei 230001, China
- Keywords:
- multi-modality image registration hybrid registration mutual information B-spline preprocessing
- PACS:
- R318
- DOI:
- 10.3969/j.issn.1005-202X.2020.09.013
- Abstract:
- The methods for image registration in radiotherapy are investigated in the study. Aiming at CT and MRI commonly
used in radiotherapy, a registration method based on hybrid framework is proposed. In the proposed method, image
processing methods such as mask extraction of regions of interest and morphological operations as well as CPU
multithreading parallel technology are used to greatly improve the registration speed, and a hybrid strategy of global and local
registrations is adopted. Global rigid registration with an affine transformation is used to prevent the deviation between
registered images, and then B-spline elastic registration is applied on regions of interest for adjusting local deformations. The
experiments show that the preprocessing and acceleration strategy for rigid registration can increase the speed ratio by up to
10 times while maintaining its accuracy, and the test results reach the clinical requirements. In addition, the CT/MRI hybrid
registration method based on GPU acceleration can achieve an average registration speed of 4 minutes.
Last Update: 2020-09-25