Article

Using deep learning methods to shorten acquisition time in children’s renal cortical imaging

2025-08-13

Abstract excerpt

<h4>Purpose</h4> This study evaluates the capability of diffusion-based generative models to reconstruct diagnostic-quality renal cortical images from reduced-acquisition-time pediatric 99mTc-DMSA scintigraphy. <h4>Materials and Methods</h4> A prospective study was conducted on 99mTc-DMSA scintigraphic data from consecutive pediatric patients with suspected urinary tract infections (UTIs) acquired between Novemb...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8ef08e70-a699-5a03-a701-e723c2ef5946
DOI: 10.1101/2025.08.11.25333418

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Using deep learning methods to shorten acquisition time in children’s renal cortical imagingDOI 10.1101/2025.08.11.25333418Read

Clinical performance of deep learning enhanced ultra-fast whole-body scintigraphy in patients with suspected malignancySemantic proximity Read

Improving glomerular filtration rate measurement accuracy in renal tumor patients: a novel deep learning approachSemantic proximity Read

Advances in Deep Learning for Medical Imaging: Foundations, Evolution, and ImpactSemantic proximity Read

Noninvasive Risk Stratification Based on Renal Tubular Injury Phenotypes: A Deep Learning Study for Predicting Vesicoureteral Reflux in Children.Semantic proximity Read

Improvement of Image Quality in Low-Count Bone Scintigraphy Using Deep LearningSemantic proximity Read

AI-Powered Segmentation and Prognosis with Missing MRI in Pediatric Brain TumorsSemantic proximity Read

Evaluation of Synthetic Pediatric Brain MRI Using 3D-QALAS and Zero-DeepSub ReconstructionSemantic proximity Read

A Novel Approach for Integrating Mamba and Diffusion in 3D Medical ImagingSemantic proximity Read

Deep Learning Techniques for Medical Image Analysis and DiagnosisSemantic proximity Read

Multiscale Segmentation using Hierarchical Phase-contrast Tomography and Deep LearningSemantic proximity Read

Quality-preserving low-cost probabilistic 3D denoising with applications to Computed TomographySemantic proximity Read

Ultra-low-field paediatric MRI in low- and middle-income countries: super-resolution using a multi-orientation U-NetSemantic proximity Read