Various experimental or physicomathematical methods can be used to calculate the biomechanical behavior of the mandible. In this study, we tested a new tool for the analysis of mandibular surface strain based on the correlation of images. Five fresh explanted human mandibles were placed in a loading device allowing replication of a physiologic biting exercise. Surfaces of the mandibles were prepared with white and black lacquer. Images were recorded by 2 cameras and analyzed with an algorithm to correlate those images. With the Limess Measurement & Software system and VIC 3D software, we obtained data output concerning deformations, strains, and principal strains. This allowed us to confirm strain distribution on the mandibular corpus and to focus on weak points. Image correlation is a new technique to study mandible biomechanics, which provides accurate measurements on a wide bone surface, with high-definition images and without modification of the structure.
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http://dx.doi.org/10.1097/SCS.0b013e31822e848d | DOI Listing |
Sci Rep
December 2024
Department of Diagnostic Radiology, Dalhousie University, Halifax, Canada.
The goal of this study was to determine how radiologists' rating of image quality when using 0.5T Magnetic Resonance Imaging (MRI) compares to Computed Tomography (CT) for visualization of pathology and evaluation of specific anatomic regions within the paranasal sinuses. 42 patients with clinical CT scans opted to have a 0.
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December 2024
Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.
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December 2024
Institute of Informatics, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland.
Manual segmentation of lesions, required for radiotherapy planning and follow-up, is time-consuming and error-prone. Automatic detection and segmentation can assist radiologists in these tasks. This work explores the automated detection and segmentation of brain metastases (BMs) in longitudinal MRIs.
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December 2024
Department of Forensic Medicine, Graduate School of Medicine, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan.
The position of the mental foramen is reported to change with age. This study aimed to examine age-related changes in the position of the mental foramen in men and women. Among 200 cases (age 21-100 years; 400 foramina) that underwent postmortem computed tomography, 109 (age 21-93 years; 218 foramina) with mandibular first and second premolars were examined using image analysis software to classify the position of the mental foramen according to Fishel's classification, and the χ² test was performed.
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December 2024
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, US.
The correlational structure of brain activity dynamics in the absence of stimuli or behavior is often taken to reveal intrinsic properties of neural function. To test the limits of this assumption, we analyzed peripheral contributions to resting state activity measured by fMRI in unanesthetized, chemically immobilized male rats that emulate human neuroimaging conditions. We find that perturbation of somatosensory input channels modifies correlation strengths that relate somatosensory areas both to one another and to higher-order brain regions, despite the absence of ostensible stimuli or movements.
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