TY - GEN
T1 - Segmentation of brain structures using PET-CT images
AU - Xia, Yong
AU - Wen, Lingfeng
AU - Eberl, Stefan
AU - Fulham, Michael
AU - Feng, Dagan
PY - 2008
Y1 - 2008
N2 - The accurate segmentation of PET-only brain images is challenging because of the low spatial resolution and high noise level in PET data. PET/CT has now replaced PET and offers the opportunity to improve segmentation through the high resolution, lower noise CT data. This paper pioneers the research of PET-CT brain image segmentation, which takes advantage of the full information available from the combined scan. In the proposed approach, the contrast stretched CT image is utilized to delineate cerebrospinal fluid (CSF) from other brain tissues. Gray matter is separated from white matter by applying the fuzzy clustering of spatial patterns (FCSP) algorithm to the joint PET-CT image. We compared our approach to a widely used PET segmentation method in the SPM toolbox for simulation and patient data. Our results prove that the incorporation of anatomical Information in CT images substantially improves the accuracy of brain structure delineation.
AB - The accurate segmentation of PET-only brain images is challenging because of the low spatial resolution and high noise level in PET data. PET/CT has now replaced PET and offers the opportunity to improve segmentation through the high resolution, lower noise CT data. This paper pioneers the research of PET-CT brain image segmentation, which takes advantage of the full information available from the combined scan. In the proposed approach, the contrast stretched CT image is utilized to delineate cerebrospinal fluid (CSF) from other brain tissues. Gray matter is separated from white matter by applying the fuzzy clustering of spatial patterns (FCSP) algorithm to the joint PET-CT image. We compared our approach to a widely used PET segmentation method in the SPM toolbox for simulation and patient data. Our results prove that the incorporation of anatomical Information in CT images substantially improves the accuracy of brain structure delineation.
UR - http://www.scopus.com/inward/record.url?scp=51849149521&partnerID=8YFLogxK
U2 - 10.1109/ITAB.2008.4570550
DO - 10.1109/ITAB.2008.4570550
M3 - 会议稿件
AN - SCOPUS:51849149521
SN - 9781424422555
T3 - 5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008
SP - 86
EP - 89
BT - 5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008
T2 - 5th International Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd International Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008
Y2 - 30 May 2008 through 31 May 2008
ER -