Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2009 IEEE International Symposium on Biomedical Imaging |
| Subtitle of host publication | From Nano to Macro, ISBI 2009 |
| Pages | 542-545 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 - Boston, MA, United States Duration: 2009 Jun 28 → 2009 Jul 1 |
Publication series
| Name | Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 |
|---|
Conference
| Conference | 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 |
|---|---|
| Country/Territory | United States |
| City | Boston, MA |
| Period | 09-06-28 → 09-07-01 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging
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