AIMC Topic: Image Interpretation, Computer-Assisted

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Quality assurance of late gadolinium enhancement cardiac magnetic resonance images: a deep learning classifier for confidence in the presence or absence of abnormality with potential to prompt real-time image optimization.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 24, 2024
BACKGROUND: Late gadolinium enhancement (LGE) of the myocardium has significant diagnostic and prognostic implications, with even small areas of enhancement being important. Distinguishing between definitely normal and definitely abnormal LGE images ...
Magnetic Resonance Imaging Aged Predictive Value of Tests Male Myocardium Heart Diseases Middle Aged Image Interpretation, Computer-Assisted Deep Learning Humans Contrast Media Quality Assurance, Health Care Databases, Factual Observer Variation Female Magnetic Resonance Imaging, Cine Reproducibility of Results
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Comparison of model-based versus deep learning-based image reconstruction for thin-slice T2-weighted spin-echo prostate MRI.

Abdominal radiology (New York) Mar 23, 2024
PURPOSE: To compare a previous model-based image reconstruction (MBIR) with a newly developed deep learning (DL)-based image reconstruction for providing improved signal-to-noise ratio (SNR) in high through-plane resolution (1 mm) T2-weighted spin-ec...
Humans Image Interpretation, Computer-Assisted Aged Male Signal-To-Noise Ratio Middle Aged Phantoms, Imaging Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Prostatic Neoplasms Prostate
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Deep Learning Accelerated Brain Diffusion-Weighted MRI with Super Resolution Processing.

Academic radiology Mar 22, 2024
OBJECTIVES: To investigate the clinical feasibility and image quality of accelerated brain diffusion-weighted imaging (DWI) with deep learning image reconstruction and super resolution.
Aged, 80 and over Young Adult Adult Male Middle Aged Prospective Studies Humans Brain Diffusion Magnetic Resonance Imaging Female Deep Learning Aged Image Processing, Computer-Assisted Feasibility Studies Image Interpretation, Computer-Assisted Brain Diseases
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A motion-corrected deep-learning reconstruction framework for accelerating whole-heart magnetic resonance imaging in patients with congenital heart disease.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 22, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) is an important imaging modality for the assessment and management of adult patients with congenital heart disease (CHD). However, conventional techniques for three-dimensional (3D) whole-heart acqu...
Magnetic Resonance Imaging, Cine Imaging, Three-Dimensional Magnetic Resonance Imaging Predictive Value of Tests Image Interpretation, Computer-Assisted Heart Defects, Congenital Humans Adult Female Male Reproducibility of Results Deep Learning Young Adult Time Factors
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Deep learning-based image reconstruction for the multi-arterial phase images: improvement of the image quality to assess the small hypervascular hepatic tumor on gadoxetic acid-enhanced liver MRI.

Abdominal radiology (New York) Mar 21, 2024
PURPOSE: To evaluated the impact of a deep learning (DL)-based image reconstruction on multi-arterial-phase magnetic resonance imaging (MA-MRI) for small hypervascular hepatic masses in patients who underwent gadoxetic acid-enhanced liver MRI.
Middle Aged Liver Retrospective Studies Deep Learning Humans Liver Neoplasms Female Image Interpretation, Computer-Assisted Contrast Media Aged Image Enhancement Magnetic Resonance Imaging Adult Signal-To-Noise Ratio Male Gadolinium DTPA
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Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methods.

Abdominal radiology (New York) Mar 21, 2024
OBJECTIVE: Automated methods for prostate segmentation on MRI are typically developed under ideal scanning and anatomical conditions. This study evaluates three different prostate segmentation AI algorithms in a challenging population of patients wit...
Prostatic Neoplasms Prostate Image Interpretation, Computer-Assisted Aged Male Middle Aged Deep Learning Magnetic Resonance Imaging Humans Artificial Intelligence Algorithms Retrospective Studies
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Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study.

Academic radiology Mar 20, 2024
RATIONALE AND OBJECTIVES: Medulloblastoma (MB) and Ependymoma (EM) in children, share similarities in age group, tumor location, and clinical presentation. Distinguishing between them through clinical diagnosis is challenging. This study aims to expl...
Child Diagnosis, Differential Image Interpretation, Computer-Assisted Cerebellar Neoplasms Medulloblastoma Male Infant Adolescent Child, Preschool Multiparametric Magnetic Resonance Imaging Ependymoma Humans Machine Learning Retrospective Studies Female Radiomics Brain Neoplasms
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Enhancing gadoxetic acid-enhanced liver MRI: a synergistic approach with deep learning CAIPIRINHA-VIBE and optimized fat suppression techniques.

European radiology Mar 16, 2024
OBJECTIVE: To investigate whether a deep learning (DL) controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA)-volumetric interpolated breath-hold examination (VIBE) technique can improve image quality, lesion conspicuity,...
Breath Holding Gadolinium DTPA Liver Image Interpretation, Computer-Assisted Artifacts Image Enhancement Female Aged Middle Aged Humans Aged, 80 and over Deep Learning Retrospective Studies Adult Liver Neoplasms Male Contrast Media Magnetic Resonance Imaging
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Automated Detection of Cerebral Microbleeds on Two-dimensional Gradient-recalled Echo T2* Weighted Images Using a Morphology Filter Bank and Convolutional Neural Network.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Mar 15, 2024
PURPOSE: We present a novel algorithm for the automated detection of cerebral microbleeds (CMBs) on 2D gradient-recalled echo T2* weighted images (T2*WIs). This approach combines a morphology filter bank with a convolutional neural network (CNN) to i...
Brain Retrospective Studies Female Aged Aged, 80 and over Humans Neural Networks, Computer Algorithms Male Magnetic Resonance Imaging Middle Aged Cerebral Hemorrhage Convolutional Neural Networks Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted
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Differential Diagnosis of Diabetic Foot Osteomyelitis and Charcot Neuropathic Osteoarthropathy with Deep Learning Methods.

Journal of imaging informatics in medicine Mar 15, 2024
Our study aims to evaluate the potential of a deep learning (DL) algorithm for differentiating the signal intensity of bone marrow between osteomyelitis (OM), Charcot neuropathic osteoarthropathy (CNO), and trauma (TR). The local ethics committee app...
Humans Algorithms Retrospective Studies Diagnosis, Differential Diabetic Foot Image Interpretation, Computer-Assisted Osteomyelitis Arthropathy, Neurogenic Female Male Middle Aged Deep Learning Magnetic Resonance Imaging
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