AIMC Topic: X-Ray Microtomography
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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 ...
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...
Identification of Root Canal Morphology in Fused-rooted Mandibular Second Molars From X-ray Images Based on Deep Learning.
Journal of endodontics
May 29, 2024
INTRODUCTION: Understanding the intricate anatomical morphology of fused-rooted mandibular second molars (MSMs) is essential for root canal treatment. The present study utilized a deep learning approach to identify the three-dimensional root canal mo...
Characterization and quantification of in-vitro equine bone resorption in 3D using μCT and deep learning-aided feature segmentation.
Bone
May 20, 2024
High cyclic strains induce formation of microcracks in bone, triggering targeted bone remodeling, which entails osteoclastic resorption. Racehorse bone is an ideal model for studying the effects of high-intensity loading, as it is subject to focal fo...
A reliable deep-learning-based method for alveolar bone quantification using a murine model of periodontitis and micro-computed tomography imaging.
Journal of dentistry
May 8, 2024
OBJECTIVES: This study focuses on artificial intelligence (AI)-assisted analysis of alveolar bone for periodontitis in a mouse model with the aim to create an automatic deep-learning segmentation model that enables researchers to easily examine alveo...
Microscopic computed tomography with AI-CNN-powered image analysis: the path to phenotype bleomycin-induced lung injury.
American journal of physiology. Cell physiology
Apr 22, 2024
Bleomycin (BLM)-induced lung injury in mice is a valuable model for investigating the molecular mechanisms that drive inflammation and fibrosis and for evaluating potential therapeutic approaches to treat the disease. Given high variability in the BL...
Artifact suppression for breast specimen imaging in micro CBCT using deep learning.
BMC medical imaging
Feb 6, 2024
BACKGROUND: Cone-beam computed tomography (CBCT) has been introduced for breast-specimen imaging to identify a free resection margin of abnormal tissues in breast conservation. As well-known, typical micro CT consumes long acquisition and computation...
Effects of design software program and manufacturing method on the marginal and internal adaptation of esthetic crowns for primary teeth: A microcomputed tomography evaluation.
The Journal of prosthetic dentistry
Jan 8, 2024
STATEMENT OF PROBLEM: The adaptation of digitally produced crowns is affected by the design software program and manufacturing method. The effect of artificial intelligence (AI) software program design on the adaptation of the crowns is unclear and c...
Natural variability in bee brain size and symmetry revealed by micro-CT imaging and deep learning.
PLoS computational biology
Oct 2, 2023
Analysing large numbers of brain samples can reveal minor, but statistically and biologically relevant variations in brain morphology that provide critical insights into animal behaviour, ecology and evolution. So far, however, such analyses have req...
Embryonic cranial cartilage defects in the Fgfr3 mouse model of achondroplasia.
Anatomical record (Hoboken, N.J. : 2007)
Sep 25, 2023
Achondroplasia, the most common chondrodysplasia in humans, is caused by one of two gain of function mutations localized in the transmembrane domain of fibroblast growth factor receptor 3 (FGFR3) leading to constitutive activation of FGFR3 and subseq...
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