Chinese Journal Of Clinical Anatomy ›› 2011, Vol. 29 ›› Issue (4): 418-422.

Previous Articles     Next Articles

3D-image fusion research of cross CT+MR modality based on localization registration approach of"9-point & 3-plane"

PENG Jian-qiao Matthew1,JU Xiang-yang2, BAI Bo1, LIU Qi1, CHEN Yi1, MO Jian-wen1, ZHU Qiao-hong3, LI Xin-chun3   

  1. 1. Department of Joint Surgery, The First Affiliated Hospital of Guangzhou Medical College, Orthopedic implantation key lab of Guangdong Province, Guangzhou 510120, China; 2. Department of Clinical Physics and Bio-Engineering, University of Glasgow, Glasgow G23JZ U.K; 3. Department of Radiology, The First Affiliated Hospital of Guangzhou Medical College, Guangzhou 510120, China
  • Received:2011-12-31 Published:2011-07-26

Abstract:

Objective To attempt a localization registration approach of 2-Dimension (2D) images based on somatotopic localization to realize accurate fusion from cross modality of 3-Dimension (3D) CT & MR images. Methods To fix digital format after original data of CT/MR input, design cubic localization solution of"9-point & 3-plane"for registration, complete fusion at real-time workstation Mimics based on auto-fusing style of information exchanged by signal overlaid technique. Results The fused cubic images of cross [CT+MR] modality were mutually practiced by patients' cranium and knee samples, while complementary images of distinguishing soft and hard tissue in cranium and knee were created, which carrying signal characteristic and medical information respectively from CT & MR individually, and were helpful not only to learn specific location of abnormal organs found out by MR, but also to identify focal nature of abnormal lesions found out by CT. Conclusions This cross modality fusion scheme is a supplement for the technique vacant at present, meanwhile, this experiment will also provide experience drawn on invention of [CT+MR] single modality equipment of 3D imaging in advance.

Key words: PT/MR/CT, 3D rebuilt, Localization registration, Cross modality image fusion

CLC Number: