AIMC Topic: Magnetic Resonance Imaging
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3D MRI Models of the Musculoskeletal System.
Seminars in musculoskeletal radiology
Sep 21, 2021
Computed tomography (CT) is most commonly used to produce three-dimensional (3D) models for evaluating bone and joint morphology in clinical practice. However, 3D models created from magnetic resonance imaging (MRI) data can be equally effective for ...
Robustifying Deep Networks for Medical Image Segmentation.
Journal of digital imaging
Sep 20, 2021
The purpose of this study is to investigate the robustness of a commonly used convolutional neural network for image segmentation with respect to nearly unnoticeable adversarial perturbations, and suggest new methods to make these networks more robus...
An MR-Safe Endovascular Robotic Platform: Design, Control, and Ex-Vivo Evaluation.
IEEE transactions on bio-medical engineering
Sep 20, 2021
OBJECTIVE: Cardiovascular diseases are the most common cause of global death. Endovascular interventions, in combination with advanced imaging technologies, are promising approaches for minimally invasive diagnosis and therapy. More recently, teleope...
Impact of Bladder Neck Angle Measured by Postoperative Magnetic Resonance Imaging on Midterm Recovery of Urinary Continence in Prostate Cancer Patients Undergoing Robot-Assisted Radical Prostatectomy.
Journal of endourology
Sep 17, 2021
MRI has helped clarify the relationship between pelvic anatomical structures and functional outcomes after robot-assisted radical prostatectomy (RARP). The objective of this study was to assess the impact of the bladder neck angle (BNA) measured by ...
An attention-based deep learning model for predicting microvascular invasion of hepatocellular carcinoma using an intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging.
Physics in medicine and biology
Sep 17, 2021
The intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging (IVIM-DWI) with a series of images with different-values has great potential as a tool for detecting, diagnosing, staging, and monitoring disease progression or ...
Deep Learning-Based Image Feature with Arthroscopy-Aided Early Diagnosis and Treatment of Meniscus Injury of Knee Joint.
Journal of healthcare engineering
Sep 17, 2021
The aim of this study is to explore the clinical effect of deep learning-based MRI-assisted arthroscopy in the early treatment of knee meniscus sports injury. Based on convolutional neural network algorithm, Adam algorithm was introduced to optimize ...
Emerging of new bioartificial corticospinal motor synergies using a robotic additional thumb.
Scientific reports
Sep 16, 2021
It is likely that when using an artificially augmented hand with six fingers, the natural five plus a robotic one, corticospinal motor synergies controlling grasping actions might be different. However, no direct neurophysiological evidence for this ...
Image Quality and Diagnostic Performance of Accelerated Shoulder MRI With Deep Learning-Based Reconstruction.
AJR. American journal of roentgenology
Sep 15, 2021
Shoulder MRI using standard multiplanar sequences requires long scan times. Accelerated sequences have tradeoffs in noise and resolution. Deep learning-based reconstruction (DLR) may allow reduced scan time with preserved image quality. The purpose...
Deep learning based synthetic-CT generation in radiotherapy and PET: A review.
Medical physics
Sep 15, 2021
Recently,deep learning (DL)-based methods for the generation of synthetic computed tomography (sCT) have received significant research attention as an alternative to classical ones. We present here a systematic review of these methods by grouping the...
Automatic Symmetry Detection From Brain MRI Based on a 2-Channel Convolutional Neural Network.
IEEE transactions on cybernetics
Sep 15, 2021
Symmetry detection is a method to extract the ideal mid-sagittal plane (MSP) from brain magnetic resonance (MR) images, which can significantly improve the diagnostic accuracy of brain diseases. In this article, we propose an automatic symmetry detec...
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