Affiliations: [a] Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, USA
| [b] Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
Correspondence:
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Corresponding author: Hengyong Yu, Department of Electrical and Computer Engineering, The University of Massachusetts Lowell, Lowell, MA, 01854 USA. E-mail: Hengyong-yu@ieee.org.
Abstract: Thyroid cancer is the most common type of endocrine-related cancer and the most common cancer in young women. Currently, single photon emission computed tomography (SPECT) and computed tomography (CT) are used with radioiodine scintigraphy to evaluate patients with thyroid cancer. The gamma camera for SPECT contains a mechanical collimator that greatly compromises dose efficiency and limits diagnostic sensitivity. Fortunately, the Compton camera is emerging as an ideal approach for mapping the distribution of radiopharmaceuticals inside the thyroid. In this preliminary study, based on the state-of-the-art readout chip Timepix3, we investigate the feasibility of using Compton camera for radiotracer SPECT imaging in thyroid cancer. A thyroid phantom is designed to mimic human neck, the mechanism of Compton camera-based event detection is simulated to generate realistic list-mode data, and a weighted back-projection method is developed to reconstruct the original distribution of the emission source. Study results show that the Compton camera can improve the detection efficiency for two or higher orders of magnitude comparing with the conventional gamma cameras. The thyroid gland regions can be reconstructed from the Compton camera measurements in terms of radiotracer distribution. This makes the Compton-camera-based SPECT imaging a promising modality for future clinical applications with significant benefits for dose reduction, scattering artifact reduction, temporal resolution enhancement, scan throughput increment, and others.
Keywords: Compton scattering, compton camera, SPECT imaging, thyroid cancer
