DocumentCode
1937957
Title
Visual Enhancement for Sentinel Lymph Node Mapping in Breast Cancer by Multiple Display Formats of SPECT/CT Images
Author
Huang, Jia-Yann ; Kao, Pan-Fu ; Chen, Yung-Sheng
Author_Institution
Dept. of Electr. Eng., Yuan Ze Univ., Chungli
Volume
2
fYear
2008
fDate
27-30 May 2008
Firstpage
286
Lastpage
289
Abstract
Lymph node status is a main factor in determining the stage, suitable therapy and outcome in patients with breast cancer. It is therefore of clinical importance to accurately identify all sentinel lymph nodes (SLNs) for each individual tumor before surgery. Composite Single-Photon Emission Computed Tomography and Computed Tomography (SPECT/CT) scanner has the great potential to enhance topographic orientation and diagnostic sensitivity of SLN imaging. In this paper, a visual enhancement of sentinel lymph node mapping in breast cancer of SPECT/CT images was proposed. Our approach is based on the isodata histogram thresholding, image fusion, and 3-dimensional (3D) volume rendering. By improving the visual impression of SPECT/CT images, it is useful to help surgeons to precisely locate all SLNs in patients with breast cancer.
Keywords
cancer; computerised tomography; gynaecology; image fusion; medical image processing; single photon emission computed tomography; tumours; 3D volume rendering; SPECT/CT images; breast cancer; composite single photon emission computed tomography; diagnostic sensitivity; image fusion; isodata histogram thresholding; multiple display formats; sentinel lymph node mapping; tumor; visual enhancement; Breast cancer; Breast neoplasms; Computed tomography; Displays; Histograms; Image fusion; Lymph nodes; Medical treatment; Oncological surgery; Rendering (computer graphics); Breast Cancer; SPECT/CT Images; Sentinel Lymph Node; Visual Enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location
Sanya
Print_ISBN
978-0-7695-3118-2
Type
conf
DOI
10.1109/BMEI.2008.167
Filename
4549180
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