Open AccessAdvanced Computational Dissection for Lumbar Cadaveric Specimens with Applications
Author(s) -
Francisco Casesnoves
Publication year - 2021
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/cseit217210
Subject(s) - cadaveric spasm , cadaver , computer science , dissection (medical) , artificial intelligence , lumbar , robotics , anatomy , medicine , computer vision , robot
Previous contributions dealt with demonstration of software-computational methods (CAD) to digitalize cloud data, and filter numerically them. Subsequently, simulate and fit mathematically the anterior and lateral facet vertebral body morphometry of cadaveric lumbar spines. This advanced study presents three computational dissection methods for new/different lumbar cadaveric specimens. Namely, Region of Interest (ROI) software-method, Programming-dissection selection technique, and Plane-Segmentation dissection. Results demonstrate computational images of several ROIs from L2 to L5 anterior facets, programming-dissection of complete specimen. Third findings group prove planar dissections for a long cadaveric specimen. Additional results/outcomes emerge from anatomical analysis of the cadaveric specimens. Applications to orthopedics tools and prostheses, surgical robotics, spinal stabilization instrumentation, spine-rehabilitation apparatus and Forensic Robotics [Casesnoves, 2020] comprise additional findings. Results in pre-hypotheses theory for spine-biomechanical evolution are indicated.