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Purpose: StarGuide (GE HealthCare, Haifa, Israel) is a full-ring SPECT/CT system based on Cadmium Zinc Telluride (CZT) technology. In this study, we aimed to compare the image quality of this CZT-based SPECT/CT to a conventional Anger-type SPECT/CT system (NM/CT 870 DR, 870DR; GE HealthCare).
Methods: Tomographic sensitivity was calculated by recording the total number of counts detected during tomographic acquisition for a point source. We evaluated spatial resolution and image uniformity on each system using the full width half maximum (FWHM) of line sources and root mean square uniformity (%RMSU) of pool phantom, respectively. The voxel size of the StarGuide SPECT images was 2.46×2.46×2.46 mm, compared to 4.42×4.42×4.42 mm on 870DR. These projection data were reconstructed using 3D-OSEM with a resolution recovery technique (RR). We compared 3 different algorithms: non-correction (NCRR), scatter correction (SCRR), and attenuation correction and scatter correction (ACSCRR).
Results: Tomographic sensitivity of StarGuide and 870DR were estimated at 200.0 counts・s・MBq and 193.3 counts・s・MBq, respectively. Spatial resolution at the center of the FOV was estimated at 2.6 mm for StarGuide and 5.4 mm for 870DR with ACSCRR. Likewise, the %RMSU was 21.7 for StarGuide and 24.6 for 870DR.
Conclusion: The full-ring CZT SPECT/CT system has a superior spatial resolution and better image uniformity than the conventional Anger-type SPECT instrument, whereas tomographic sensitivity remains similar.
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http://dx.doi.org/10.6009/jjrt.25-1527 | DOI Listing |
Med Phys
August 2025
The University of Texas MD Anderson Cancer Houston, Houston, Texas, USA.
Background: To guarantee high-quality patient scans, thorough quality assurance (QA) of SPECT or gamma cameras, including performance, review, and documentation, is essential.
Purpose: We developed a novel Nuclear Medicine Quality Assurance server (NMQA) with an AI deep learning (AIDL) optical character recognition (OCR) system to automate QA data retrieval and review from SPECT and gamma cameras. The system extracts and compares daily and weekly QA data against specifications.
Ann Nucl Med
September 2025
Department of Radiology, Shimane University Hospital, 89-1 Enya-Cho, Izumo, Shimane, 693-8501, Japan.
Diagnostic reference levels (DRLs) are practical benchmarks for optimizing patient radiation exposure in medical imaging. In Japan, national DRLs, including those for nuclear medicine together and other radiological procedures, were first established in 2015 and revised in 2020. In this study, we revised the DRL values of nuclear medicine for the establishment of DRLs2025, based on data collected from institutions nationwide throughout Japan.
View Article and Find Full Text PDFIEEE Trans Radiat Plasma Med Sci
May 2025
Department of Nuclear, Plasma and Radiological Engineering, and the Department of Bioengineering and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Champaign, IL 61801 USA.
This study introduces a novel maximum-likelihood-based data preconditioning method for a 3-D position sensitive cadmium zinc telluride (CZT) detector used in the dynamic extremity-single photon emission computed tomography imaging system, an organ-dedicated Single-Photon Emission computed tomography system optimized for imaging peripheral vascular diseases in lower extremities. The 3-D CZT detectors offer subpixel resolution of ~0.5 mm FWHM in directions and an ultrahigh energy resolution of 3 keV at 200 keV, 4.
View Article and Find Full Text PDFCureus
July 2025
Internal Medicine, National Center for Geriatrics and Gerontology, Obu, JPN.
Myotonic dystrophy type 1 (DM1) is a multisystem autosomal dominant disorder primarily characterized by myotonia and distal muscle weakness. Central nervous system (CNS) involvement, including cognitive, executive, and emotional dysfunctions, is increasingly being recognized; however, language impairment as an initial presentation is rare. A 50-year-old right-handed woman with a six-month history of progressive word-finding difficulty, vague speech, and social withdrawal was referred for evaluation.
View Article and Find Full Text PDFPhys Med Biol
August 2025
Departments of Biomedical Engineering and Radiology, University of California, Davis, CA, United States of America.
. Monte Carlo (MC) simulation remains the gold standard for modeling complex physical interactions in transmission and emission tomography, with graphic processing unit (GPU) parallel computing offering unmatched computational performance and enabling practical, large-scale MC applications. In recent years, rapid advancements in both GPU technologies and tomography techniques have been observed.
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