ArticleDiagnostic and interventional radiology (Ankara, Turkey)2023
LAVA HyperSense and deep-learning reconstruction for near-isotropic (3D) enhanced magnetic resonance enterography in patients with Crohn's disease: utility in noise reduction and image quality improvement.
Article in Diagnostic and interventional radiology (Ankara, Turkey), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Deep learning in magnetic resonance enterography for Crohn's disease assessment: a systematic review.Abdominal radiology (New York) · 2024Pooled it
- Artificial intelligence in the management of inflammatory bowel disease: What's next?World journal of gastrointestinal pharmacology and therapeutics · 2026Review
- Application and assessment of deep learning to routine 2D T2 FLEX spine imaging at 1.5T.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Quality of Head and Neck Diffusion-weighted MR Imaging Using a Combination of the Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction (PROPELLER) Sequence and Deep Learning Reconstruction.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026Article
- Deep learning-enhanced zero echo time silent brain magnetic resonance imaging in infants without sedation.Pediatric radiology · 2026Article
- Role of MRI radiomics in deep learning-based prediction of intestinal diseases.International journal of colorectal disease · 2026Review
- Evaluation of deep learning MRI reconstruction for dental implant crowns in a phantom study.Scientific reports · 2025Article
- 3D gadolinium-enhanced high-resolution near-isotropic pancreatic imaging at 3.0-T MR using deep-learning reconstruction.Insights into imaging · 2025Article
- Deep learning reconstruction for improving image quality of pediatric abdomen MRI using a 3D T1 fast spoiled gradient echo acquisition.Pediatric radiology · 2025Article
- Deep learning enabled near-isotropic CAIPIRINHA VIBE in the nephrogenic phase improves image quality and renal lesion conspicuity.European journal of radiology open · 2025Article
- Deep learning image enhancement for confident diagnosis of TMJ osteoarthritis in zero-TE MR imaging.Dento maxillo facial radiology · 2025Article
- Evaluation of Image Quality and Scan Time Efficiency in Accelerated 3D T1-Weighted Pediatric Brain MRI Using Deep Learning-Based Reconstruction.Korean journal of radiology · 2025Article
- Deep learning-based reconstruction for 3-dimensional heavily T2-weighted fat-saturated magnetic resonance (MR) myelography in epidural fluid detection: image quality and diagnostic performance.Quantitative imaging in medicine and surgery · 2024Article
- Application of a deep learning algorithm for three-dimensional T1-weighted gradient-echo imaging of gadoxetic acid-enhanced MRI in patients at a high risk of hepatocellular carcinoma.Abdominal radiology (New York) · 2024Article
- Advanced Abdominal MRI Techniques and Problem-Solving Strategies.Journal of the Korean Society of Radiology · 2024Review
- Impact of deep learning-based reconstruction and anti-peristaltic agent on the image quality and diagnostic performance of magnetic resonance enterography comparing single breath-hold single-shot fast spin echo with and without anti-peristaltic agent.Quantitative imaging in medicine and surgery · 2024Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aimed to compare near-isotropic contrast-enhanced T1-weighted (CE-T1W) magnetic resonance enterography (MRE) images reconstructed with vendor-supplied deep-learning reconstruction (DLR) with those reconstructed conventionally in terms of image quality.
methodsA total of 35 patients who underwent MRE for Crohn's disease between August 2021 and February 2022 were included in this retrospective study. The enteric phase CE-T1W MRE images of each patient were reconstructed with conventional reconstruction and no image filter (original), with conventional reconstruction and image filter (filtered), and with a prototype version of AIR
resultsThe mean scores of the DLR image set with respect to overall image quality, contrast, sharpness, motion artifacts, and blurring in the coronal and axial images were significantly superior to those of both the filtered and original images (
conclusionUsing DLR for near-isotropic CE-T1W MRE improved the image quality and increased the SNR.
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