TY - JOUR
T1 - Fast registration technique of MR and SPECT brain images
AU - Sun, Yung Nien
AU - Huang, Shu Chien
AU - Chang, Ti Chiun
AU - Chen, Fwn Jeng
AU - Chiu, Nan Tsing
PY - 1998
Y1 - 1998
N2 - In this paper, we focus on the 3D registration between the MR and SPECT brain images. It is undoubted that the human brain does not change its shape during imaging processes, registration of these two image sets can be modeled as a rigid body motion problem. Since the size of each voxel in MR and SPECT images is given, our goal is to find out three translation parameters and three rotation parameters of the motion and then match the object to a fixed position. In this paper, a hybrid method composed of homologous feature registration and surface fitting is developed. The centers of the two eyeballs are used as the feature sets for registration. Therefore, we can solve the three translation parameters and two rotation parameters. We then reslice the volume data. The remaining rotation parameter is determined by minimizing the surface distance, in the resliced 2D images. After obtaining all these parameters, the transformation matrix is determined, and the registration is well done.
AB - In this paper, we focus on the 3D registration between the MR and SPECT brain images. It is undoubted that the human brain does not change its shape during imaging processes, registration of these two image sets can be modeled as a rigid body motion problem. Since the size of each voxel in MR and SPECT images is given, our goal is to find out three translation parameters and three rotation parameters of the motion and then match the object to a fixed position. In this paper, a hybrid method composed of homologous feature registration and surface fitting is developed. The centers of the two eyeballs are used as the feature sets for registration. Therefore, we can solve the three translation parameters and two rotation parameters. We then reslice the volume data. The remaining rotation parameter is determined by minimizing the surface distance, in the resliced 2D images. After obtaining all these parameters, the transformation matrix is determined, and the registration is well done.
UR - http://www.scopus.com/inward/record.url?scp=0010304163&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0010304163&partnerID=8YFLogxK
U2 - 10.1117/12.310876
DO - 10.1117/12.310876
M3 - Conference article
AN - SCOPUS:0010304163
SN - 0277-786X
VL - 3338
SP - 1442
EP - 1449
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
T2 - Medical Imaging 1998: Image Processing
Y2 - 23 February 1998 through 23 February 1998
ER -