AIMC Topic: Imaging, Three-Dimensional

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Deep learning based object tracking for 3D microstructure reconstruction.

Methods (San Diego, Calif.) Apr 9, 2022
In medical and material science, 3D reconstruction is of great importance for quantitative analysis of microstructures. After the image segmentation process of serial slices, in order to reconstruct each local structure in volume data, it needs to us...
Algorithms Deep Learning Image Processing, Computer-Assisted Imaging, Three-Dimensional Neural Networks, Computer
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Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol.

European radiology Apr 7, 2022
OBJECTIVES: The aim of this study was to evaluate the image quality and diagnostic performance of a deep-learning (DL)-accelerated two-dimensional (2D) turbo spin echo (TSE) MRI of the knee at 1.5 and 3 T in clinical routine in comparison to standard...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Prospective Studies Deep Learning Artifacts Magnetic Resonance Imaging Feasibility Studies Humans
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Deep learning-based velocity antialiasing of 4D-flow MRI.

Magnetic resonance in medicine Apr 5, 2022
PURPOSE: To develop a convolutional neural network (CNN) for the robust and fast correction of velocity aliasing in 4D-flow MRI.
Humans Reproducibility of Results Blood Flow Velocity Adult Imaging, Three-Dimensional Phantoms, Imaging Deep Learning Magnetic Resonance Imaging
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High fidelity deep learning-based MRI reconstruction with instance-wise discriminative feature matching loss.

Magnetic resonance in medicine Apr 3, 2022
PURPOSE: To improve reconstruction fidelity of fine structures and textures in deep learning- (DL) based reconstructions.
Magnetic Resonance Imaging Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Retrospective Studies Deep Learning
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Prior information-based high-resolution tomography image reconstruction from a single digitally reconstructed radiograph.

Physics in medicine and biology Apr 1, 2022
Tomography images are essential for clinical diagnosis and trauma surgery, allowing doctors to understand the internal information of patients in more detail. Since the large amount of x-ray radiation from the continuous imaging during the process of...
Humans Neural Networks, Computer Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed
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A morphometric analysis of the osteocyte canaliculus using applied automatic semantic segmentation by machine learning.

Journal of bone and mineral metabolism Mar 26, 2022
INTRODUCTION: Osteocytes play a role as mechanosensory cells by sensing flow-induced mechanical stimuli applied on their cell processes. High-resolution imaging of osteocyte processes and the canalicular wall are necessary for the analysis of this me...
Imaging, Three-Dimensional Machine Learning Semantics Mice Animals Femur Osteocytes
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Evaluation of deep learning reconstructed high-resolution 3D lumbar spine MRI.

European radiology Mar 24, 2022
OBJECTIVES: To compare interobserver agreement and image quality of 3D T2-weighted fast spin echo (T2w-FSE) L-spine MRI images processed with a deep learning reconstruction (DLRecon) against standard-of-care (SOC) reconstruction, as well as against 2...
Adult Humans Male Imaging, Three-Dimensional Retrospective Studies Middle Aged Female Magnetic Resonance Imaging Aged Deep Learning Constriction, Pathologic
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Dense, deep learning-based intracranial aneurysm detection on TOF MRI using two-stage regularized U-Net.

Journal of neuroradiology = Journal de neuroradiologie Mar 17, 2022
BACKGROUND AND PURPOSE: The prevalence of unruptured intracranial aneurysms in the general population is high and aneurysms are usually asymptomatic. Their diagnosis is often fortuitous on MRI and might be difficult and time consuming for the radiolo...
Imaging, Three-Dimensional Magnetic Resonance Imaging Angiography, Digital Subtraction Intracranial Aneurysm Magnetic Resonance Angiography Sensitivity and Specificity Deep Learning Humans Retrospective Studies
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Deep learning-based 2D/3D registration of an atlas to biplanar X-ray images.

International journal of computer assisted radiology and surgery Mar 16, 2022
PURPOSE: The registration of a 3D atlas image to 2D radiographs enables 3D pre-operative planning without the need to acquire costly and high-dose CT-scans. Recently, many deep-learning-based 2D/3D registration methods have been proposed which tackle...
X-Rays Humans Deep Learning Tomography, X-Ray Computed Algorithms Imaging, Three-Dimensional
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Improving segmentation and classification of renal tumors in small sample 3D CT images using transfer learning with convolutional neural networks.

International journal of computer assisted radiology and surgery Mar 15, 2022
PURPOSE: Computed tomography (CT) images can display internal organs of patients and are particularly suitable for preoperative surgical diagnoses. The increasing demands for computer-aided systems in recent years have facilitated the development of ...
Kidney Neoplasms Humans Machine Learning Imaging, Three-Dimensional Tomography, X-Ray Computed Neural Networks, Computer Image Processing, Computer-Assisted
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