ArticleJournal of applied clinical medical physics2023
Acquisition time reduction in pediatric
Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dose Reduction in Scintigraphic Imaging Through Enhanced Convolutional Autoencoder-Based Denoising.Journal of imaging · 2025Article
- Weight-based determination of administered activity inPediatric radiology · 2025Article
- Clinical performance of deep learning-enhanced ultrafast whole-body scintigraphy in patients with suspected malignancy.BMC medical imaging · 2024Article
- Acquisition time reduction in pediatricJournal of applied clinical medical physics · 2023Article
- The Feasibility and Performance of Total Hip Replacement Prediction Deep Learning Algorithm with Real World Data.Bioengineering (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeGiven the potential risk of motion artifacts, acquisition time reduction is desirable in pediatric
methodsOne hundred and fifty-five cases that underwent pediatric
resultsThe predicted full-time images from the deep learning models showed a significant improvement in image quality compared to the short-time images with respect to the reference full-time images. In particular, the predicted full-time images obtained by ResUnet showed the lowest NMSE (0.4 [0.4-0.5] %) and the highest PSNR (55.4 [54.7-56.1] dB) and SSIM (0.997 [0.995-0.997]). For renal uptake, an extremely high correlation was achieved in all short-time and three predicted full-time images (R
conclusionsOur proposed method is capable of producing images that are comparable to the original full-acquisition-time images, allowing for a reduction of acquisition time/injected dose in pediatric
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