TY - GEN
T1 - A computer-aided diagnosis system for whole body bone scan using single photon emission computed tomography
AU - Huang, Sheng-Fang
AU - Chaoa, Hao Yu
AU - Hsu, Cheng Chin
AU - Yang, Shan Fong
AU - Kao, Pan Fu
PY - 2009/11/17
Y1 - 2009/11/17
N2 - Tc-99m MDP whole body bone scan using single photon emission computed tomography (SPECT) is an important and general method to investigate the spreading of malignant tumors. However, it is time-consuming for doctors to perform three-dimensional (3D) assessment using SPECT images. Therefore, a computer-aided diagnosis (CAD) system is required to identify suspicious locations of bone abnormalities. In this study, we developed a 3D-based segmentation method and a quantitative scheme to detect the findings of possible abnormalities. In this method, we designed a new data structure called bone graph that characterizes scanned images as graph, where by tracking this graph, we can extract the morphological features from the entire skeleton. The proposed scheme automatically extracts the skeletal structure of human spine, and can be adopted to assist nuclear medicine physicians to identify the potential locations of bone lesions.
AB - Tc-99m MDP whole body bone scan using single photon emission computed tomography (SPECT) is an important and general method to investigate the spreading of malignant tumors. However, it is time-consuming for doctors to perform three-dimensional (3D) assessment using SPECT images. Therefore, a computer-aided diagnosis (CAD) system is required to identify suspicious locations of bone abnormalities. In this study, we developed a 3D-based segmentation method and a quantitative scheme to detect the findings of possible abnormalities. In this method, we designed a new data structure called bone graph that characterizes scanned images as graph, where by tracking this graph, we can extract the morphological features from the entire skeleton. The proposed scheme automatically extracts the skeletal structure of human spine, and can be adopted to assist nuclear medicine physicians to identify the potential locations of bone lesions.
UR - http://www.scopus.com/inward/record.url?scp=70449331620&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449331620&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2009.5193104
DO - 10.1109/ISBI.2009.5193104
M3 - Conference contribution
AN - SCOPUS:70449331620
SN - 9781424439324
T3 - Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
SP - 542
EP - 545
BT - Proceedings - 2009 IEEE International Symposium on Biomedical Imaging
T2 - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
Y2 - 28 June 2009 through 1 July 2009
ER -
