AIMC Topic: Magnetic Resonance Imaging

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Deep learning reconstruction for zero echo time lung magnetic resonance imaging: impact on image quality and lesion detection.

Clinical radiology Jul 17, 2024
AIMS: This study aimed to examine the impact of deep-learning reconstruction (DLR) on zero echo time (ZTE) lung MRI.
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Phantoms, Imaging Middle Aged Lung Deep Learning Lung Neoplasms Female Aged Adult Male Humans Retrospective Studies Tomography, X-Ray Computed
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Prospective and multi-reader evaluation of deep learning reconstruction-based accelerated rectal MRI: image quality, diagnostic performance, and reading time.

European radiology Jul 17, 2024
OBJECTIVES: To evaluate deep learning reconstruction (DLR)-based accelerated rectal magnetic resonance imaging (MRI) compared with standard MRI.
Neoplasm Staging Humans Rectum Prospective Studies Rectal Neoplasms Middle Aged Aged, 80 and over Image Interpretation, Computer-Assisted Deep Learning Adult Adenocarcinoma Male Magnetic Resonance Imaging Female Aged
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Enhancing Prostate Cancer Diagnosis: Artificial Intelligence-Driven Virtual Biopsy for Optimal Magnetic Resonance Imaging-Targeted Biopsy Approach and Gleason Grading Strategy.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Jul 17, 2024
An optimal approach to magnetic resonance imaging fusion targeted prostate biopsy (PBx) remains unclear (number of cores, intercore distance, Gleason grading [GG] principle). The aim of this study was to develop a precise pixel-wise segmentation diag...
Neoplasm Grading Image-Guided Biopsy Male Humans Middle Aged Artificial Intelligence Magnetic Resonance Imaging Algorithms Prostatic Neoplasms Aged
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Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study.

Neuroradiology Jul 17, 2024
PURPOSE: To evaluate nnU-net's performance in automatically segmenting and volumetrically measuring ocular adnexal lymphoma (OAL) on multi-sequence MRI.
Contrast Media Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Male Middle Aged Deep Learning Lymphoma Humans Eye Neoplasms Retrospective Studies Female Aged Aged, 80 and over Adult Sensitivity and Specificity
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Automatically Detecting Pancreatic Cysts in Autosomal Dominant Polycystic Kidney Disease on MRI Using Deep Learning.

Tomography (Ann Arbor, Mich.) Jul 16, 2024
BACKGROUND: Pancreatic cysts in autosomal dominant polycystic kidney disease (ADPKD) correlate with PKD2 mutations, which have a different phenotype than PKD1 mutations. However, pancreatic cysts are commonly overlooked by radiologists. Here, we auto...
Male Middle Aged Deep Learning Female Magnetic Resonance Imaging Reproducibility of Results Humans Image Interpretation, Computer-Assisted Aged Pancreas Adult Polycystic Kidney, Autosomal Dominant Pancreatic Cyst
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Deep learning approach to femoral AVN detection in digital radiography: differentiating patients and pre-collapse stages.

BMC musculoskeletal disorders Jul 16, 2024
OBJECTIVE: This study aimed to evaluate a new deep-learning model for diagnosing avascular necrosis of the femoral head (AVNFH) by analyzing pelvic anteroposterior digital radiography.
Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Femur Head Necrosis Female Aged Young Adult Adult Deep Learning Humans Adolescent Male Magnetic Resonance Imaging Middle Aged
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Explainable machine learning on baseline MRI predicts multiple sclerosis trajectory descriptors.

PloS one Jul 16, 2024
Multiple sclerosis (MS) is a multifaceted neurological condition characterized by challenges in timely diagnosis and personalized patient management. The application of Artificial Intelligence (AI) to MS holds promises for early detection, accurate d...
Multiple Sclerosis Male Middle Aged Disease Progression Magnetic Resonance Imaging Humans Machine Learning Female Adult
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Deep Learning Assisted Classification of T1ρ-MR Based Intervertebral Disc Degeneration Phases.

Journal of magnetic resonance imaging : JMRI Jul 15, 2024
BACKGROUND: According to the T1ρ value of nucleus pulposus, our previous study has found that intervertebral disc degeneration (IDD) can be divided into three phases based on T1ρ-MR, which is helpful for the selection of biomaterial treatment timing....
Humans Adult Male Middle Aged Deep Learning ROC Curve Retrospective Studies Female Reproducibility of Results Aged Low Back Pain Image Processing, Computer-Assisted Intervertebral Disc Magnetic Resonance Imaging Nucleus Pulposus Image Interpretation, Computer-Assisted Intervertebral Disc Degeneration
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Association between myosteatosis and impaired glucose metabolism: A deep learning whole-body magnetic resonance imaging population phenotyping approach.

Journal of cachexia, sarcopenia and muscle Jul 15, 2024
BACKGROUND: There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with the progression of i...
Phenotype Retrospective Studies Female Aged Humans Magnetic Resonance Imaging Muscle, Skeletal Adipose Tissue Glucose Whole Body Imaging Adult Male Middle Aged Deep Learning
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Deep learning reconstructed T2-weighted Dixon imaging of the spine: Impact on acquisition time and image quality.

European journal of radiology Jul 15, 2024
PURPOSE: To assess the image quality and impact on acquisition time of a novel deep learning based T2 Dixon sequence (T2) of the spine.
Image Interpretation, Computer-Assisted Humans Artifacts Spinal Diseases Male Prospective Studies Middle Aged Female Aged Deep Learning Adult Magnetic Resonance Imaging Lumbar Vertebrae
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