Yongde Zhang, Jintao Bi, Weixi Zhang, Haiyan Du and Yong Xu Pages 115 - 124 ( 10 )
Background: Prostate cancer (PCa) has become a serious threat to the health of men in the world. Combining the advantages of magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) images for the diagnosis and treatment of prostate is a hot research topic in recent years and image registration is an important step in image fusion.Objective: To survey recent patents and academic papers relating to registration methods which use preoperative MR images and intra-operative TRUS images of prostate as sources of data to be registered and provide a reference for those searching for literature on a specific application. Method: In this paper, we review the current status of registration methods for MRI-TRUS imageguided interventions of prostate mainly in the aspects of feature space, geometrical transformation, optimization strategy, image dimensionality, public availability and evaluation methodology. Results: The registration methods used in prostate intervention with the guidance of MRI-TRUS image in the last 15 years are classified and analysed according to their respective characteristics. The current and future development in regard to the issues of this field is discussed and explored. Conclusion: MR and US image registration method used in prostate intervention is mainly towards the direction of 3D registration and the registration based on 3D surface has become the mainstream. The local features-based registration, such as the MIND method is a direction of future development. The deformation of prostate is a challenge to the registration of MRI-TRUS images. The simulated annealing algorithm, levenberg-marquardt (LM) algorithm, expectation maximisation (EM) algorithm and iterative closest point (ICP)-like algorithm are often used as the optimization strategy in MRI and TRUS registration. TRE and DSC based on anatomic landmarks are the main methods of evaluation.
Image registration, MRI, TRUS, prostate intervention, brachy therapy, anatomic landmarks.
Robotics & its Engineering Research Center of Harbin University of Science and Technology, No52. Xufu Road, Nangang District, 150080, Harbin, Heilongjiang Province, Robotics & its Engineering Research Center, Harbin University of Science and Technology, Harbin 150080, Robotics & its Engineering Research Center, Harbin University of Science and Technology, Harbin 150080, Robotics & its Engineering Research Center, Harbin University of Science and Technology, Harbin 150080, General Hospital of Chinese People’s Liberation Army, Beijing