We encountered a round artifact on images obtained with our SPECT/CT system: a small dark spot surrounded by a broad light ring. The artifact was due to a problem with the SPECT portion of the hybrid system and was successfully removed through servicing of the system. This case report describes this scanner-based artifact, which, to our knowledge, has not previously been reported in the literature.
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http://dx.doi.org/10.2967/jnmt.116.189365 | DOI Listing |
Adv Radiat Oncol
February 2025
Department of Radiation Oncology, University of Utah, Salt Lake City, Utah.
Purpose: To evaluate the image quality of an ultrafast cone-beam computed tomography (CBCT) system-Varian HyperSight.
Methods And Materials: In this evaluation, 5 studies were performed to assess the image quality of HyperSight CBCT. First, a HyperSight CBCT image quality evaluation was performed and compared with Siemens simulation-CT and Varian TrueBeam CBCT.
Photoacoustics
February 2025
School of Information Engineering, Nanchang University, Nanchang 330031, China.
Photoacoustic tomography, a novel non-invasive imaging modality, combines the principles of optical and acoustic imaging for use in biomedical applications. In scenarios where photoacoustic signal acquisition is insufficient due to sparse-view sampling, conventional direct reconstruction methods significantly degrade image resolution and generate numerous artifacts. To mitigate these constraints, a novel sinogram-domain priors guided extremely sparse-view reconstruction method for photoacoustic tomography boosted by enhanced diffusion model is proposed.
View Article and Find Full Text PDFBiomed Phys Eng Express
December 2024
Division of Biomedical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada.
Based on the generative adversarial network (GAN), we present a multifunctional X-ray tomographic protocol for artifact correction, noise suppression, and super-resolution of reconstruction. The protocol mainly consists of a data preprocessing module and multifunctional GAN-based loss function simultaneously dealing with ring artifacts and super-resolution. The experimental protocol removes ring artifacts and improves the contrast-to-noise ratio (CNR) and spatial resolution (SR) of reconstructed images successfully, which shows the capability to adaptively rectify ring artifacts with varying intensities and types while achieving super-resolution.
View Article and Find Full Text PDFNanomaterials (Basel)
October 2024
Center for Hybrid Nanostructures (CHyN), University of Hamburg, Luruper Chaussee 149, 22761 Hamburg, Germany.
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