AIMC Topic: X-Ray Microtomography

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Limited angle tomography for transmission X-ray microscopy using deep learning.

Journal of synchrotron radiation Feb 13, 2020
In transmission X-ray microscopy (TXM) systems, the rotation of a scanned sample might be restricted to a limited angular range to avoid collision with other system parts or high attenuation at certain tilting angles. Image reconstruction from such l...
Deep Learning Imaging, Three-Dimensional Chlorella Radiographic Image Interpretation, Computer-Assisted X-Ray Microtomography
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Decoding rejuvenating effects of mechanical loading on skeletal aging using in vivo μCT imaging and deep learning.

Acta biomaterialia Feb 11, 2020
Throughout the process of aging, dynamic changes of bone material, micro- and macro-architecture result in a loss of strength and therefore in an increased likelihood of fragility fractures. To date, precise contributions of age-related changes in bo...
Fibula Aging Deep Learning Tibia Female Adaptation, Physiological Mice, Inbred C57BL X-Ray Microtomography Animals Rejuvenation Weight-Bearing
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Application of a robotic THz imaging system for sub-surface analysis of ancient human remains.

Scientific reports Mar 4, 2019
We used a robotic-based THz imaging system to investigate the sub-surface structure of an artificially mummified ancient Egyptian human left hand. The results obtained are compared to the results of a conventional CT and a micro-CT scan. Using such a...
Humans Reproducibility of Results Robotics Mummies Egypt Hand X-Ray Microtomography
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Flexible Learning-Free Segmentation and Reconstruction of Neural Volumes.

Scientific reports Sep 24, 2018
Imaging is a dominant strategy for data collection in neuroscience, yielding stacks of images that often scale to gigabytes of data for a single experiment. Machine learning algorithms from computer vision can serve as a pair of virtual eyes that tir...
X-Ray Microtomography Synchrotrons Machine Learning Algorithms Animals Imaging, Three-Dimensional Image Processing, Computer-Assisted Mice
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Comparative microstructural analysis of bone osteotomies after cutting by computer-assisted robot-guided laser osteotome and piezoelectric osteotome: an in vivo animal study.

Lasers in medical science Apr 13, 2018
Most industrial laser applications utilize computer and robot assistance, for guidance, safety, repeatability, and precision. In contrast, medical applications using laser systems are mostly conducted manually. The advantages can be effective only wh...
Laser Therapy Calcification, Physiologic X-Ray Microtomography Animals Lasers Robotics Bone and Bones Surgery, Computer-Assisted Osteotomy Sheep
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Fuzzy Object Skeletonization: Theory, Algorithms, and Applications.

IEEE transactions on visualization and computer graphics Aug 10, 2017
Skeletonization offers a compact representation of an object while preserving important topological and geometrical features. Literature on skeletonization of binary objects is quite mature. However, challenges involved with skeletonization of fuzzy ...
Humans Algorithms X-Ray Microtomography Computer Simulation Phantoms, Imaging Tomography, X-Ray Computed Models, Statistical Computer Graphics Animals Bone and Bones Models, Anatomic Fuzzy Logic
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An Automatic Segmentation and Classification Framework Based on PCNN Model for Single Tooth in MicroCT Images.

PloS one Jun 20, 2016
Accurate segmentation and classification of different anatomical structures of teeth from medical images plays an essential role in many clinical applications. Usually, the anatomical structures of teeth are manually labelled by experienced clinical ...
Image Processing, Computer-Assisted Databases as Topic Pressure Humans Algorithms X-Ray Microtomography Neural Networks, Computer Reproducibility of Results Tooth Imaging, Three-Dimensional
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A segmentation and classification scheme for single tooth in MicroCT images based on 3D level set and k-means+.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 31, 2016
Accurate classification of different anatomical structures of teeth from medical images provides crucial information for the stress analysis in dentistry. Usually, the anatomical structures of teeth are manually labeled by experienced clinical doctor...
Imaging, Three-Dimensional Finite Element Analysis Cluster Analysis X-Ray Microtomography Humans Dental Stress Analysis Unsupervised Machine Learning Molar Normal Distribution
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A Non-Destructive Method for Distinguishing Reindeer Antler (Rangifer tarandus) from Red Deer Antler (Cervus elaphus) Using X-Ray Micro-Tomography Coupled with SVM Classifiers.

PloS one Feb 22, 2016
Over the last decade, biomedical 3D-imaging tools have gained widespread use in the analysis of prehistoric bone artefacts. While initial attempts to characterise the major categories used in osseous industry (i.e. bone, antler, and dentine/ivory) ha...
X-Ray Microtomography Humans Antlers Imaging, Three-Dimensional Animals Support Vector Machine Deer
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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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