Abstract
Most advanced radiotherapy planning can be optimized by incorporating the metabolic image of the tumour to be irradiated (Metabolic Target Volume). MTV can be properly obtained by in vivo molecular imaging studies as the volume of metabolically active tumour component. Positron EmissionTomography (PET) can provide MTV by in vivo measuring the glucose metabolism of a tumour. Aim of this work was to develop an innovative PET image segmentation method, based on an adaptive threshold of the image signal-to-noise ratio, for the estimation of the MTV. The proposed method was tested on a set of anthropomorphic phantoms proving its feasibility, operator-independency and accuracy in a clinical setting.
Original language | English |
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Title of host publication | IEEE Nuclear Science Symposium Conference Record |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Print) | 9781479905348 |
DOIs | |
Publication status | Published - 2013 |
Event | 2013 60th IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013 - Seoul, Korea, Republic of Duration: Oct 27 2013 → Nov 2 2013 |
Other
Other | 2013 60th IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013 |
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Country | Korea, Republic of |
City | Seoul |
Period | 10/27/13 → 11/2/13 |
ASJC Scopus subject areas
- Radiation
- Nuclear and High Energy Physics
- Radiology Nuclear Medicine and imaging