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Pixelation with concentration-encoded effective photons for quantitative molecular optical sectioning microscopy.
Laser Photon Rev
October 2024
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Irreproducibility in molecular optical sectioning microscopy has hindered the transformation of acquired digital images from qualitative descriptions to quantitative data. Although numerous tools, metrics, and phantoms have been developed, accurate quantitative comparisons of data from different microscopy systems with diverse acquisition conditions remains a challenge. Here, we develop a simple tool based on an absolute measurement of bulk fluorophore solutions with related Poisson photon statistics, to overcome this obstacle.
View Article and Find Full Text PDFEnhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion Models.
Life (Basel)
December 2024
School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, USA.
Amyloid PET imaging plays a crucial role in the diagnosis and research of Alzheimer's disease (AD), allowing non-invasive detection of amyloid-β plaques in the brain. However, the low spatial resolution of PET scans limits the accurate quantification of amyloid deposition due to partial volume effects (PVE). In this study, we propose a novel approach to addressing PVE using a latent diffusion model for resolution recovery (LDM-RR) of PET imaging.
View Article and Find Full Text PDFArticle Synopsis
- Limited-angle dual-energy cone-beam CT (LA-DECBCT) is a promising method for achieving fast, low-dose imaging, but its clinical use is challenged by difficulties in image reconstruction.
- A new image reconstruction technique using inter-spectral structural similarity was developed to reduce artifacts, improving the quality of DECBCT images without needing extra data for training.
- This method shows significant potential for practical clinical applications in LA-DECBCT, enabling accurate imaging without relying on X-ray spectra or paired datasets.
Use of a virtual phantom to assess the capability of a treatment planning system to perform magnetic resonance image distortion correction.
Phys Eng Sci Med
January 2025
Physics Department, Instituto Zunino, Obispo Oro 423, X5000BFI, Córdoba, Argentina.
Article Synopsis
- Treatment Planning Systems (TPS) are evaluated for their effectiveness in correcting distortions in Magnetic Resonance (MR) images using a virtual phantom and Control Points (CPs).
- The study involved creating distorted MR images and applying TPS, with findings showing that distortion caused median deviations of 1.8 mm, which were reduced to 0.6 mm after correction.
- Structural Similarity Metric (SSIM) tests indicated significant improvements in image quality, with the TPS successfully reducing distortions to levels acceptable for radiosurgery.
Voxelwise characterization of noise for a clinical photon-counting CT scanner with a model-based iterative reconstruction algorithm.
Eur Radiol Exp
January 2025
Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Pisa, Italy.
Article Synopsis
- The study investigated the noise reduction capabilities of a photon-counting detector (PCD) in computed tomography (CT) using a model-based iterative reconstruction algorithm (QIR).
- Forty repeated scans were conducted on a water phantom and compared with a conventional energy-integrating detector (EID) to assess noise characteristics.
- Results showed that PCD-CT significantly reduced noise levels and improved image uniformity, demonstrating the effectiveness of QIR in decreasing noise without altering the overall distribution of noise values.
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