AIMC Topic: Magnetic Resonance Imaging

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Automatic breast lesion detection in ultrafast DCE-MRI using deep learning.

Medical physics Aug 30, 2021
PURPOSE: We propose a deep learning-based computer-aided detection (CADe) method to detect breast lesions in ultrafast DCE-MRI sequences. This method uses both the 3D spatial information and temporal information obtained from the early-phase of the d...
Humans Female Breast Neoplasms Magnetic Resonance Imaging Breast Motion Deep Learning Contrast Media
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Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Aug 30, 2021
PURPOSE: In radiotherapy, MRI is used for target volume and organs-at-risk delineation for its superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the electron density of tissue necessary for dose calculation. Sever...
Radiotherapy Dosage Tomography, X-Ray Computed Multicenter Studies as Topic Radiotherapy Planning, Computer-Assisted Deep Learning Magnetic Resonance Imaging
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Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study.

European radiology Aug 27, 2021
OBJECTIVES: To evaluate the performance of a deep learning radiomic nomogram (DLRN) model at predicting tumor relapse in patients with soft tissue sarcomas (STS) who underwent surgical resection.
Magnetic Resonance Imaging Neoplasm Recurrence, Local Sarcoma Deep Learning Nomograms Humans Retrospective Studies
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Deep Learning for Intelligent Recognition and Prediction of Endometrial Cancer.

Journal of healthcare engineering Aug 26, 2021
The aim of the study was to investigate the intelligent recognition of radiomics based on the convolutional neural network (CNN) in predicting endometrial cancer (EC). In this study, 158 patients with EC in hospital were selected as the research obje...
Magnetic Resonance Imaging Female Endometrial Neoplasms Humans Neural Networks, Computer Deep Learning
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DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease.

NeuroImage Aug 24, 2021
Measures of change in hippocampal volume derived from longitudinal MRI are a well-studied biomarker of disease progression in Alzheimer's disease (AD) and are used in clinical trials to track therapeutic efficacy of disease-modifying treatments. Howe...
Magnetic Resonance Imaging Alzheimer Disease Neural Networks, Computer Neuroimaging Disease Progression Female Humans Aged, 80 and over Algorithms Atrophy Hippocampus Aged Cognitive Dysfunction Biomarkers Male Longitudinal Studies
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Molecular subtyping of diffuse gliomas using magnetic resonance imaging: comparison and correlation between radiomics and deep learning.

European radiology Aug 21, 2021
OBJECTIVES: The molecular subtyping of diffuse gliomas is important. The aim of this study was to establish predictive models based on preoperative multiparametric MRI.
Magnetic Resonance Spectroscopy Deep Learning Humans Glioma Retrospective Studies Magnetic Resonance Imaging
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Deep learning for radial SMS myocardial perfusion reconstruction using the 3D residual booster U-net.

Magnetic resonance imaging Aug 21, 2021
PURPOSE: To develop an end-to-end deep learning solution for quickly reconstructing radial simultaneous multi-slice (SMS) myocardial perfusion datasets with comparable quality to the pixel tracking spatiotemporal constrained reconstruction (PT-STCR) ...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Perfusion Humans Deep Learning
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Deep Learning-Based Algorithm for the Detection and Characterization of MRI Safety of Cardiac Implantable Electronic Devices on Chest Radiographs.

Korean journal of radiology Aug 19, 2021
OBJECTIVE: With the recent development of various MRI-conditional cardiac implantable electronic devices (CIEDs), the accurate identification and characterization of CIEDs have become critical when performing MRI in patients with CIEDs. We aimed to d...
Electronics Defibrillators, Implantable Pacemaker, Artificial Deep Learning Magnetic Resonance Imaging Humans Algorithms
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Efficient, high-performance semantic segmentation using multi-scale feature extraction.

PloS one Aug 19, 2021
The success of deep learning in recent years has arguably been driven by the availability of large datasets for training powerful predictive algorithms. In medical applications however, the sensitive nature of the data limits the collection and excha...
Deep Learning Neural Networks, Computer Semantics Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Pancreas Tomography, X-Ray Computed Humans Brain Neoplasms
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MRI pulse sequence integration for deep-learning-based brain metastases segmentation.

Medical physics Aug 18, 2021
PURPOSE: Magnetic resonance (MR) imaging is an essential diagnostic tool in clinical medicine. Recently, a variety of deep-learning methods have been applied to segmentation tasks in medical images, with promising results for computer-aided diagnosis...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Brain Neoplasms Deep Learning Neural Networks, Computer
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