Computational Dual-system Imaging Processing Methods for Lumbar Spine Specimens with Medical Physics Applications

Abstract

Based on previous studies, a comparative-series of improved imaging-computational for new/different lumbar cadaveric specimens was obtained with two systems—namely Matlab and GNU-Octave. Algorithmic methods for program patterns are improved and developed. Results comprise a biomedical study of each and every lumbar cadaveric specimen with contrasted evaluation for both computational systems. Imaging processing methods for resolution in improved vertebral contrast/facets/positioning, vertebral-anatomical parts separation, visualization of lumbar spines, and different 3D imaging options available, are explained and proven. In Clinical Medical Physics and Computational Anatomical Pathology, these advances associated to improve previous imaging contributions and statistical data are demonstrated. Results show sharply the usage of Matlab and GNU-Octave imaging processing, programming codes/patterns, and computer vision tools. Efficacious utility of these computational-software imaging methods, useful/appropriate for clear/detailed anatomical-clinical analysis, and comparisons among cadaveric specimens are illustrated along an imaging series. The anatomical dissection methods previously published obtain additional procedures/applications in lumbar vertebra study, statistics, and surgical tools manufacturing. Applications on Medical Physics, Biomedical Engineering, and Computational-Forensic Diagnosis are got from this dual cadaveric imaging systematic comparison. Matlab and GNU-Octave software 3D imaging methods utility are explained/extrapolated for other type of usages.