A method is presented to estimate the acquisition geometry of a pinhole single photon emission computed tomography (SPECT) camera with a circular detector orbit. This information is needed for the reconstruction of tomographic images. The calibration uses the point source projection locations of a tomographic acquisition of three point sources located at known distances from each other. It is shown that this simple phantom provides the necessary and sufficient information for the proposed calibration method. The knowledge of two of the distances between the point sources proves to be essential. The geometry is estimated by fitting analytically calculated projections to the measured ones, using a simple least squares Powell algorithm. Some mild a priori knowledge is used to constrain the solutions of the fit. Several of the geometrical parameters are however highly correlated. The effect of these correlations on the reconstructed images is evaluated in simulation studies and related to the estimation accuracy. The highly correlated detector tilt and electrical shift are shown to be the critical parameters for accurate image reconstruction. The performance of the algorithm is finally demonstrated by phantom measurements. The method is based on a single SPECT scan of a simple calibration phantom, executed immediately after the actual SPECT acquisition. The method is also applicable to cone-beam SPECT and X-ray CT.
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http://dx.doi.org/10.1109/TMI.2003.812258 | DOI Listing |
Int J Comput Assist Radiol Surg
January 2025
Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Purpose: Pulmonary perfusion imaging is a key lung health indicator with clinical utility as a diagnostic and treatment planning tool. However, current nuclear medicine modalities face challenges like low spatial resolution and long acquisition times which limit clinical utility to non-emergency settings and often placing extra financial burden on the patient. This study introduces a novel deep learning approach to predict perfusion imaging from non-contrast inhale and exhale computed tomography scans (IE-CT).
View Article and Find Full Text PDFRadiographics
January 2025
From the Department of Radiology, University of Cincinnati Medical Center, 3188 Bellevue Ave, Cincinnati, OH 45219 (A.S., A.T.T., B.W.M., L.L.W., J.L.S.); and Department of Radiology, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH (A.T.T.).
Approximately one-third of patients with focal epilepsy have medically refractory focal epilepsy (MRFE), which significantly impacts their quality of life. Once a seizure focus is identified and determined to be in the noneloquent cortex, it can be surgically resected with the goal of freedom from seizures and minimal neurocognitive deficit. During noninvasive (phase I) presurgical planning, functional (nuclear) imaging and structural imaging are complementary in the accurate localization of the epileptogenic zone (EZ).
View Article and Find Full Text PDFEJNMMI Phys
January 2025
Department of Nuclear Medicine, Lanzhou University Second Hospital, Lanzhou, 730030, China.
Purpose: The aim of the study was to investigate the value of SwiftScan Step-and-Shoot Continuous (SSC) scanning mode in enhancing image quality and to explore appropriate scanning parameters for reducing scan time.
Methods: This study was composed of a phantom study and two clinical tests. The differences in visual image quality scores, coefficient of variance (COV) of the background, image signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and recovery coefficient (RC) of the sphere were compared between SSC mode and traditional Step-and-Shoot (SS) mode in the phantom study.
Asia Ocean J Nucl Med Biol
January 2025
Department of Nuclear Medicine, Saitama Medical University Hospital, Saitama, Japan.
Asia Ocean J Nucl Med Biol
January 2025
Department of Radiological Technology, Faculty of Medical Technology, Tokyo, Japan.
Objectives: Brain perfusion single-photon emission computed tomography (SPECT) image quality varies depending on SPECT systems. This study aimed to evaluate the relationship between physical parameters and visual analysis for assessment of the brain SPECT image quality. We conducted our phantom study under various conditions in a multi-center and multi-vendor study.
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