Recent Advances in Registration Methods for MRI-TRUS Fusion Image-Guided Interventions of Prostate

Title:Recent Advances in Registration Methods for MRI-TRUS Fusion Image-Guided Interventions of Prostate

Volume: 11 Issue: 2

Author(s): Yongde Zhang*, Jintao Bi, Weixi Zhang, Haiyan Du and Yong Xu

Affiliation:

• Robotics & its Engineering Research Center of Harbin University of Science and Technology, No52. Xufu Road, Nangang District, 150080, Harbin, Heilongjiang Province,China

Keywords: Image registration, MRI, TRUS, prostate intervention, brachy therapy, anatomic landmarks.

Abstract: 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.

Cite this article as:

Zhang Yongde*, Bi Jintao, Zhang Weixi, Du Haiyan and Xu Yong, Recent Advances in Registration Methods for MRI-TRUS Fusion Image-Guided Interventions of Prostate, Recent Patents on Engineering 2017; 11 (2) . https://dx.doi.org/10.2174/1872212110666161201115248

DOI https://dx.doi.org/10.2174/1872212110666161201115248	Print ISSN 1872-2121
Publisher Name Bentham Science Publisher	Online ISSN 2212-4047