Simulations of Breast Cancer Imaging Using Gamma-Ray Stimulated Emission Computed Tomography

Here, we present an innovative imaging technology for breast cancer using gamma-ray stimulated spectroscopy based on the nuclear resonance fluorescence (NRF) technique. In NRF, a nucleus of a given isotope selectively absorbs gamma rays with energy exactly equal to one of its quantized energy states...

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Vydáno v:IEEE transactions on medical imaging Ročník 33; číslo 2; s. 546 - 555
Hlavní autoři: Lakshmanan, Manu N., Harrawood, Brian P., Agasthya, Greeshma A., Kapadia, Anuj J.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.02.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Breast
Breast cancer
Breast cancer imaging
Breast Neoplasms - diagnostic imaging
Cancer
computed tomography
Computer Simulation
Density
Detectors
element concentrations
Energy (nuclear)
Female
Gamma Rays
Humans
Imaging
Lesions
Mammography
Models, Biological
nuclear resonance fluorescence
Phantoms, Imaging
Photonics
Spectroscopy
Spectrum analysis
Tomography, Emission-Computed - methods
Trace elements
ISSN:0278-0062, 1558-254X, 1558-254X
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Popis
Shrnutí:Here, we present an innovative imaging technology for breast cancer using gamma-ray stimulated spectroscopy based on the nuclear resonance fluorescence (NRF) technique. In NRF, a nucleus of a given isotope selectively absorbs gamma rays with energy exactly equal to one of its quantized energy states, emitting an outgoing gamma ray with energy nearly identical to that of the incident gamma ray. Due to its application of NRF, gamma-ray stimulated spectroscopy is sensitive to trace element concentration changes, which are suspected to occur at early stages of breast cancer, and therefore can be potentially used to noninvasively detect and diagnose cancer in its early stages. Using Monte-Carlo simulations, we have designed and demonstrated an imaging system that uses gamma-ray stimulated spectroscopy for visualizing breast cancer. We show that gamma-ray stimulated spectroscopy is able to visualize breast cancer lesions based primarily on the differences in the concentrations of trace elements between diseased and healthy tissue, rather than differences in density that are crucial for X-ray mammography. The technique shows potential for early breast cancer detection; however, improvements are needed in gamma-ray laser technology for the technique to become a clinically feasible method of detecting and diagnosing cancer at early stages.
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ISSN:0278-0062
1558-254X
1558-254X
DOI:10.1109/TMI.2013.2290287