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Imaging, Three-Dimensional

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Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Jul 30, 2024
OBJECTIVE: Segmenting the aorta into zones based on anatomical landmarks is a current trend to better understand interventions for aortic dissection or aneurysm. However, comprehensive reference values for aortic zones are lacking. The aim of this st...
Aortography Radiographic Image Interpretation, Computer-Assisted Humans Male Retrospective Studies Reference Values Republic of Korea Middle Aged Healthy Volunteers Tomography, X-Ray Computed Female Deep Learning Aorta, Thoracic Aged Imaging, Three-Dimensional Adult
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Enabling AI-Generated Content for Gadolinium-Free Contrast-Enhanced Breast Magnetic Resonance Imaging.

Journal of magnetic resonance imaging : JMRI Jul 25, 2024
BACKGROUND: There is increasing interest in utilizing AI-generated content for gadolinium-free contrast-enhanced breast MRI.
Retrospective Studies Female Reproducibility of Results Image Enhancement Aged Breast Diffusion Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Artificial Intelligence Imaging, Three-Dimensional Gadolinium Adult Algorithms Image Processing, Computer-Assisted Sensitivity and Specificity Contrast Media Breast Neoplasms Magnetic Resonance Imaging Middle Aged
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Automatic robotic doppler sonography of leg arteries.

International journal of computer assisted radiology and surgery Jul 25, 2024
PURPOSE: Robot-assisted systems offer an opportunity to support the diagnostic and therapeutic treatment of vascular diseases to reduce radiation exposure and support the limited medical staff in vascular medicine. In the diagnosis and follow-up care...
Imaging, Three-Dimensional Robotics Equipment Design Ultrasonography, Doppler Femoral Artery Leg Humans Male
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Real-time prediction of postoperative spinal shape with machine learning models trained on finite element biomechanical simulations.

International journal of computer assisted radiology and surgery Jul 23, 2024
PURPOSE: Adolescent idiopathic scoliosis is a chronic disease that may require correction surgery. The finite element method (FEM) is a popular option to plan the outcome of surgery on a patient-based model. However, it requires considerable computin...
Humans Spine Scoliosis Machine Learning Algorithms Postoperative Period Male Computer Simulation Finite Element Analysis Adolescent Female Imaging, Three-Dimensional Biomechanical Phenomena Principal Component Analysis
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Reliable prediction of implant size and axial alignment in AI-based 3D preoperative planning for total knee arthroplasty.

Scientific reports Jul 23, 2024
The size and axial alignment of prostheses, when planned during total knee replacement (TKA) are critical for recovery of knee function and improvement of knee pain symptoms. This research aims to study the effect of artificial intelligence (AI)-base...
Osteoarthritis, Knee Preoperative Care Knee Joint Arthroplasty, Replacement, Knee Preoperative Period Knee Prosthesis Male Middle Aged Imaging, Three-Dimensional Humans Artificial Intelligence Female Aged
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The Use of fMRI Regional Analysis to Automatically Detect ADHD Through a 3D CNN-Based Approach.

Journal of imaging informatics in medicine Jul 19, 2024
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by a reduced attention span, hyperactivity, and impulsive behaviors, which typically manifest during childhood. This study employs functional magnetic reso...
Humans Neural Networks, Computer Databases, Factual Brain Female Child Male Imaging, Three-Dimensional Deep Learning Magnetic Resonance Imaging Adolescent Attention Deficit Disorder with Hyperactivity
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Deep learning-based 3D quantitative total tumor burden predicts early recurrence of BCLC A and B HCC after resection.

European radiology Jul 19, 2024
OBJECTIVES: This study aimed to evaluate the potential of deep learning (DL)-assisted automated three-dimensional quantitative tumor burden at MRI to predict postoperative early recurrence (ER) of hepatocellular carcinoma (HCC).
Predictive Value of Tests Neoplasm Recurrence, Local Tumor Burden Male Hepatectomy Middle Aged Prognosis Humans Deep Learning Retrospective Studies Carcinoma, Hepatocellular Liver Neoplasms Female Imaging, Three-Dimensional Aged Contrast Media Magnetic Resonance Imaging
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Reinforcement learning-based anatomical maps for pancreas subregion and duct segmentation.

Medical physics Jul 19, 2024
BACKGROUND: The pancreas is a complex abdominal organ with many anatomical variations, and therefore automated pancreas segmentation from medical images is a challenging application.
Humans Machine Learning Tomography, X-Ray Computed Imaging, Three-Dimensional Image Processing, Computer-Assisted Pancreas Pancreatic Ducts
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Deep learning-enabled high-speed, multi-parameter diffuse optical tomography.

Journal of biomedical optics Jul 19, 2024
SIGNIFICANCE: Frequency-domain diffuse optical tomography (FD-DOT) could enhance clinical breast tumor characterization. However, conventional diffuse optical tomography (DOT) image reconstruction algorithms require case-by-case expert tuning and are...
Female Breast Neoplasms Deep Learning Imaging, Three-Dimensional Humans Algorithms Image Processing, Computer-Assisted Breast Phantoms, Imaging Tomography, Optical
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A deep learning-based toolkit for 3D nuclei segmentation and quantitative analysis in cellular and tissue context.

Development (Cambridge, England) Jul 18, 2024
We present a new set of computational tools that enable accurate and widely applicable 3D segmentation of nuclei in various 3D digital organs. We have developed an approach for ground truth generation and iterative training of 3D nuclear segmentation...
Cell Nucleus Arabidopsis Software Algorithms Animals Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted
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