title: Nonrigid Registration Regularized by Shape Information: Application to Atlas Construction of Cardiac CT Images.
abstract: Cardiac atlases play an important role in the computer-aided diagnosis of cardiovascular diseases, in particular they need to deal with large and highly variable image datasets. In this paper, we propose a new nonrigid registration algorithm incorporating shape information, to produce comprehensive atlases. For one thing, the multiscale gradient orientation features of images are combined to form the construction of multifeature mutual information. Additionally, the shape information of multiple-objects in images is incorporated into the cost function for registration. We demonstrate the merits of the new registration algorithm on the 3D data sets of 15 patients. The experimental results show that the new registration algorithm can outperform the conventional intensity-based registration method. The obtained atlas can represent the cardiac structures more accurately.
authors.affiliation: Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, P. R. China.
authors.forename: Yunfei
authors.initials: Y
authors.lastname: Zha
authors.affiliation: College of Biomedical Engineering, South-Central University for Nationalities, Wuhan 430074, P. R. China.
authors.forename: Xuesong
authors.initials: X
authors.lastname: Lu
authors.affiliation: Department of Infection Control, Renmin Hospital of Wuhan University, Wuhan 430060, P. R. China.
authors.forename: Li
authors.initials: L
authors.lastname: Wang
authors.affiliation: School of Materials Science and Engineering, South China University of Technology, Guangzhou 510006, P. R. China.
authors.forename: Rongqian
authors.initials: R
authors.lastname: Yang
authors.affiliation: Radiology Department, Guangzhou General Hospital of Guangzhou Military Area Command, Guangzhou 510010, P. R. China.
authors.forename: Shanxing
authors.initials: S
authors.lastname: Ou
authors.affiliation: Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, P. R. China.
authors.forename: Dong
authors.initials: D
authors.lastname: Xing
authors.affiliation: Research Center for Medical Image Computing, Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
authors.forename: Defeng
authors.initials: D
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D002318:Cardiovascular Diseases / Q000000981:diagnostic imaging*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006321:Heart / Q000000981:diagnostic imaging*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011859:Radiography