Sparse-view image reconstruction with total-variation minimization applied to sparsely sampled projection data from SiPM-based photon-counting CT

• Published in: Journal of instrumentation Vol. 19; no. 2; p. C02010
• Main Authors: Sato, D., Arimoto, M., Kotoku, J., Kawashima, H., Kobayashi, S., Okumura, K., Murakami, K., Lucyana, F., Tomoda, T., Kataoka, J., Sagisaka, M., Terazawa, S., Shiota, S.
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.02.2024
• Subjects: Algorithms; Computed tomography; Computer simulation; Computerized Tomography (CT) and Computed Radiography (CR); Contrast agents; Image contrast; Image quality; Image reconstruction; Image reconstruction in medical imaging; Iodine; Mathematical models; Medical imaging; Optimization; Photons; X-ray detectors

We constructed a sparse-view computed tomography (CT) system that combines a compressed sensing (CS)-based image-reconstruction algorithm and SiPM-based photon-counting (PC) CT. CS-based image-reconstruction algorithms have been extensively studied for X-ray CT image reconstruction using fewer proje...