Advanced Computational Dissection for Lumbar Cadaveric Specimens with Applications

Authors

  • Francisco Casesnoves  PhD Engineering, MSc Physics, MD. Independent Research Scientist Engineering-Physics-Software and Medical Bioengineering Devices. IAAM (International Association of Advanced Materials). COE Tallinn University of Technology, Tallinn, Harjumaa, Estonia

DOI:

https://doi.org/10.32628/CSEIT217210

Keywords:

Software Engineering, Surfactal Programming, CAD (Computer Aided Design), CAM (Computer Aided Manufacturing), ROI, Anatomical Cadaveric Simulations, Biomechanics, Bioengineering, Spinal Computational-Surgery, Spinal Ligaments, Spinal Anterior Longitudinal Ligament (ALL), Surgery Robotics Integrated Systems

Abstract

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-04-30

Issue

Volume 7, Issue 2, March-April-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Francisco Casesnoves, " Advanced Computational Dissection for Lumbar Cadaveric Specimens with Applications" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 2, pp.83-97, March-April-2021. Available at doi : https://doi.org/10.32628/CSEIT217210