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Tomographic Imaging by a Si/CdTe Compton Camera for ¹¹¹In and ¹³¹I Radionuclides
- Source :
- IEEE Transactions on Radiation and Plasma Medical Sciences. 6:592-600
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- Tomographic imaging with radionuclides commonly used in nuclear medicine, such as $^{111}$In (171 and 245 keV) and $^{131}$I (364 keV), is in high demand for medical applications and small animal imaging. The Si/CdTe Compton camera with its high angular and high energy resolutions is an especially promising detector to extend the energy coverage for imaging to the range that covers gamma-ray emitted from these radionuclides. Here, we take the first steps towards short-distance imaging by conducting experiments using three-dimensional phantoms composed of multiple sphere-like solutions of $^{111}$In and $^{131}$I with a diameter of 2.7 mm, placed at a distance of 41 mm. Using simple back-projection methods, the positions of the sources are reproduced with a spatial resolution of 11.5 mm and 9.0 mm (FWHM) for $^{111}$In and $^{131}$I, respectively. We found that a LM-MLEM method gives a better resolution of 4.0 mm and 2.7 mm (FWHM). We resolve source positions of a tetrahedron structure with a source-to-source separation of 28 mm. These findings demonstrate that Compton Cameras have the potential of close-distance imaging of radioisotopes distributions in the energy range below 400 keV.
- Subjects :
- Physics
Range (particle radiation)
Tomographic reconstruction
business.industry
Detector
Resolution (electron density)
Atomic and Molecular Physics, and Optics
Cadmium telluride photovoltaics
Full width at half maximum
Optics
Radiology, Nuclear Medicine and imaging
business
Instrumentation
Image resolution
Energy (signal processing)
Subjects
Details
- ISSN :
- 24697303 and 24697311
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Radiation and Plasma Medical Sciences
- Accession number :
- edsair.doi...........ef1b9fd676c19b6a33e359de35d2e46d