Title :
Registration of Magnetic Resonance and 3D Ultrasound for Renal Intervention
Author :
Chen, Ken ; Li, Zhicheng ; Gu, Jia
Author_Institution :
Key Lab. of Health Inf., Shenzhen Inst. of Adv. Technol., Shenzhen, China
Abstract :
In this paper, we propose an accurate, robust and swift registration method of magnetic resonance (MR) and 3D ultrasound for percutaneous renal intervention. We refine the traditional ICP algorithm with a pre-registration Procrustes initial alignment to improve the accuracy and efficiency. We propose the orthogonal feature extraction principle to increase the robustness while reducing the human interaction required during the registration. The accuracy, robustness and efficiency performance of the proposed registration method is examined via experiment on real human data.
Keywords :
biomedical MRI; biomedical ultrasonics; feature extraction; image registration; medical image processing; ultrasonic imaging; 3D ultrasound imaging; accurate registration method; human interaction; magnetic resonance image registration; orthogonal feature extraction principle; percutaneous renal intervention; pre-registration Procrustes initial alignment; robust registration method; swift registration method; traditional ICP algorithm; Accuracy; Algorithm design and analysis; Iterative closest point algorithm; Kidney; Robustness; Surgery; Three dimensional displays; ICP; Procrustes; multi-modalities; registration;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.303