ArticleMagnetic resonance in medicine2019
Super-resolution for upper abdominal MRI: Acquisition and post-processing protocol optimization using brain MRI control data and expert reader validation.
Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Vascular responses to molecular migraine triggers: a systematic review of magnetic resonance angiography studies.The journal of headache and pain · 2025Pooled it
- Deep Learning-Based Reconstruction Improves Image Quality in Canine Cranial Abdominal MRI: A Prospective Pilot Study.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2026Article
- AI-augmented reconstruction provides improved image quality and enables shorter breath-holds in contrast-enhanced liver MRI.European radiology experimental · 2025Article
- Deep learning-based reconstruction and superresolution for MR-guided thermal ablation of malignant liver lesions.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
- Use of super resolution reconstruction MRI for surgical planning in Placenta accreta spectrum disorder: Case series.Placenta · 2023Article
- Respiratory Motion Management in Abdominal MRI:Radiology · 2023Review
- Has the non-resection rate decreased during the last two decades among patients undergoing surgical exploration for pancreatic adenocarcinoma?BMC surgery · 2020Article
- An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI.NeuroImage · 2020Article
- Super-resolution for upper abdominal MRI: Acquisition and post-processing protocol optimization using brain MRI control data and expert reader validation.Magnetic resonance in medicine · 2019Article
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Authors and funding
12 authors.
Funding
Abstract
purposeMagnetic resonance (MR) cholangiopancreatography (MRCP) is an established specialist method for imaging the upper abdomen and biliary/pancreatic ducts. Due to limitations of either MR image contrast or low through-plane resolution, patients may require further evaluation with contrast-enhanced computed tomography (CT) images. However, CT fails to offer the high tissue-ductal-vessel contrast-to-noise ratio available on T2-weighted MR imaging.
methodsMR super-resolution reconstruction (SRR) frameworks have the potential to provide high-resolution visualizations from multiple low through-plane resolution single-shot T2-weighted (SST2W) images as currently used during MRCP studies. Here, we (i) optimize the source image acquisition protocols by establishing the ideal number and orientation of SST2W series for MRCP SRR generation, (ii) optimize post-processing protocols for two motion correction candidate frameworks for MRCP SRR, and (iii) perform an extensive validation of the overall potential of upper abdominal SRR, using four expert readers with subspeciality interest in hepato-pancreatico-biliary imaging.
resultsObtained SRRs show demonstrable advantages over traditional SST2W MRCP data in terms of anatomical clarity and subjective radiologists' preference scores for a range of anatomical regions that are especially critical for the management of cancer patients.
conclusionsOur results underline the potential of using SRR alongside traditional MRCP data for improved clinical diagnosis.
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