AIMC Topic: X-Ray Microtomography

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Ensemble methods and partially-supervised learning for accurate and robust automatic murine organ segmentation.

Scientific reports Jul 2, 2025
Delineation of multiple organs in murine µCT images is crucial for preclinical studies but requires manual volumetric segmentation, a tedious and time-consuming process prone to inter-observer variability. Automatic deep learning-based segmentation c...
Reproducibility of Results Animals Mice Supervised Machine Learning X-Ray Microtomography Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Volumetric atlas of the rat inner ear from microCT and iDISCO+ cleared temporal bones.

PeerJ May 26, 2025
BACKGROUND: Volumetric atlases are an invaluable tool in neuroscience and otolaryngology, greatly aiding experiment planning and surgical interventions, as well as the interpretation of experimental and clinical data. The rat is a major animal model ...
Temporal Bone Animals Rats Ear, Inner X-Ray Microtomography Atlases as Topic
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Assessing the cardioprotective effects of exercise in APOE mouse models using deep learning and photon-counting micro-CT.

PloS one Apr 10, 2025
BACKGROUND: The allelic variations of the apolipoprotein E (APOE) gene play a critical role in regulating lipid metabolism and significantly impact cardiovascular disease risk (CVD). This study aimed to evaluate the impact of exercise on cardiac stru...
Apolipoproteins E X-Ray Microtomography Physical Conditioning, Animal Female Genotype Animals Deep Learning Disease Models, Animal Male Mice Heart Cardiovascular Diseases
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Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging.

Journal of synchrotron radiation Apr 1, 2025
In bone-imaging research, in situ synchrotron radiation micro-computed tomography (SRµCT) mechanical tests are used to investigate the mechanical properties of bone in relation to its microstructure. Low-dose computed tomography (CT) is used to prese...
Image Processing, Computer-Assisted Radiation Dosage Bone and Bones Animals Deep Learning X-Ray Microtomography Synchrotrons
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A modular cage may prevent endplate damage and improve spinal deformity correction.

Clinical biomechanics (Bristol, Avon) Mar 30, 2025
BACKGROUND: Anterior lumbar interbody fusion is performed to fuse pathological spinal segments, generally, with a monobloc cage inserted by impact forces. Recently developed three-part modular cages attempt to reduce the impact forces, minimize the d...
Lordosis Male Aged Lumbar Vertebrae Middle Aged Humans Adult Diskectomy Spinal Fusion Female Biomechanical Phenomena X-Ray Microtomography
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The effect of cryopreservation on enamel microcracks - A μCT analysis using a deep learning algorithm.

Cryobiology Mar 13, 2025
To date, the effect of cryopreservation on microcracks in the dental enamel remains unclear. These enamel microcracks are very thin, at the limit of visibility and their segmentation is beyond the capabilities of traditional image analysis. The objec...
Deep Learning Cryopreservation Dental Enamel X-Ray Microtomography Humans Algorithms Animals
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A robust deep learning approach for segmenting cortical and trabecular bone from 3D high resolution µCT scans of mouse bone.

Scientific reports Mar 13, 2025
Recent advancements in deep learning have significantly enhanced the segmentation of high-resolution microcomputed tomography (µCT) bone scans. In this paper, we present the dual-branch attention-based hybrid network (DBAHNet), a deep learning archit...
Tibia X-Ray Microtomography Cortical Bone Imaging, Three-Dimensional Mice Cancellous Bone Neural Networks, Computer Animals Deep Learning
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Cell quantification at the osteochondral interface from synchrotron radiation phase contrast micro-computed tomography images using a deep learning approach.

Scientific reports Nov 28, 2024
Osteochondral interface consists of two tissues: the calcified cartilage (CC) containing chondrocytes, and subchondral bone (SCB) containing osteocytes that interact with each other. In this study, we propose a new method for the three-dimensional (3...
Imaging, Three-Dimensional Chondrocytes Osteoarthritis, Knee Cartilage, Articular X-Ray Microtomography Synchrotrons Humans Male Female Osteocytes Middle Aged Aged Deep Learning
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Reconstructing 3D histological structures using machine learning (artificial intelligence) algorithms.

Pathologie (Heidelberg, Germany) Nov 21, 2024
BACKGROUND: Histomorphometry is currently the gold standard for bone microarchitectural examinations. This relies on two-dimensional (2D) sections to deduce the spatial properties of structures. Micromorphometric parameters are calculated from these ...
Bone and Bones Machine Learning X-Ray Microtomography Algorithms Imaging, Three-Dimensional Humans Artificial Intelligence
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Self-adaptive deep learning-based segmentation for universal and functional clinical and preclinical CT image analysis.

Computers in biology and medicine Jul 15, 2024
BACKGROUND: Methods to monitor cardiac functioning non-invasively can accelerate preclinical and clinical research into novel treatment options for heart failure. However, manual image analysis of cardiac substructures is resource-intensive and error...
Neural Networks, Computer Heart Ventricles Tomography, X-Ray Computed Humans X-Ray Microtomography Animals Deep Learning Image Processing, Computer-Assisted Mice
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