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Subject-aware PET Denoising with Contrastive Adversarial Domain Generalization.
IEEE Nucl Sci Symp Conf Rec (1997)
September 2024
Yale University, Radiology and Biomedical Imaging, New Haven, Connecticut, United States of America.
Recent advances in deep learning (DL) have greatly improved the performance of positron emission tomography (PET) denoising performance. However, DL model performance can vary a lot across subjects, due to the large variability of the count levels and spatial distributions. A generalizable DL model that mitigates the subject-wise variations is highly expected toward a reliable and trustworthy system for clinical application.
View Article and Find Full Text PDFA Case Series and Literature Review of Alveolar Echinococcosis in Kashmir, India: An Emerging Endemic Zone for .
Life (Basel)
June 2024
Department of Surgery and Registrar Academics, Sher-I-Kashmir Institute of Medical Sciences Medical College and Hospital, Bemina, Kashmir, Srinagar 190010, India.
Article Synopsis
- A study conducted at Dr. Khuroo's Medical Clinic in Kashmir identified 12 cases of Alveolar echinococcosis (AE) among 110 patients, primarily affecting middle-aged individuals with a history of abdominal pain, highlighting liver involvement.
- The tumors observed in patients showed significant invasion into nearby structures and were characterized by specific histological features typical of AE.
- Treatment varied, with some patients undergoing surgery or being treated with chemotherapy, resulting in clinical improvements, though follow-up imaging revealed persistent disease in some cases.
Mitigating the impact of image processing variations on tumour [F]-FDG-PET radiomic feature robustness.
Sci Rep
July 2024
Department of Radiology, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.
Radiomics analysis of [F]-fluorodeoxyglucose ([F]-FDG) PET images could be leveraged for personalised cancer medicine. However, the inherent sensitivity of radiomic features to intensity discretisation and voxel interpolation complicates its clinical translation. In this work, we evaluated the robustness of tumour [F]-FDG-PET radiomic features to 174 different variations in intensity resolution or voxel size, and determined whether implementing parameter range conditions or dependency corrections could improve their robustness.
View Article and Find Full Text PDFImpact of PET Reconstruction on Amyloid-β Quantitation in Cross-Sectional and Longitudinal Analyses.
J Nucl Med
May 2024
Department of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia;
Amyloid-β (Aβ) accumulation in Alzheimer disease (AD) is typically measured using SUV ratio and the centiloid (CL) scale. The low spatial resolution of PET images is known to degrade quantitative metrics because of the partial-volume effect. This article examines the impact of spatial resolution, as determined by the reconstruction configuration, on the Aβ PET quantitation in both cross-sectional and longitudinal data.
View Article and Find Full Text PDFIntroduction: The standardized uptake value ratio (SUVR) is used to measure amyloid beta-positron emission tomography (Aβ-PET) uptake in the brainDifferences in PET scanner technologies and image reconstruction techniques can lead to variability in PET images across scanners. This poses a challenge for Aβ-PET studies conducted in multiple centers. The aim of harmonization is to achieve consistent Aβ-PET measurements across different scanners.
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