Back to Search
Start Over
Software Programming with Lumbar Spine Cadaveric Specimens for Computational Biomedical Applications
- Source :
- International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :07-15
- Publication Year :
- 2021
- Publisher :
- Technoscience Academy, 2021.
-
Abstract
- This contribution deals with demonstration of software-computational methods (CAD) to digitalize, simulate, and fit mathematically the anterior vertebral body morphometry of cadaveric lumbar spines. From previous research publications, computational techniques are developed and explained. Based on anatomical-cadaveric spinal specimens, experimental data was implemented to obtain practical surgical applications. With these anatomical samples, large sets of surface digital points were generated. Complete anterior vertebral body morphologies were visualized and analyzed with designed software-engineering. Selection method for extraction of Regions of Interest (ROIs) is presented. Applications of Lumbar anterior, vertebras, and intervertebral disks surfaces, are explained. Further biomedical anatomical analysis applications are included. Results comprise realistic anatomical representations of lumbar spine. Important applications in computational design, surgical robotics, and optimization of surgery tools and techniques are presented.
- Subjects :
- Engineering drawing
Computer science
010401 analytical chemistry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Biomechanics
02 engineering and technology
Software programming
01 natural sciences
0104 chemical sciences
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Lumbar spine
Cadaveric spasm
ComputingMethodologies_COMPUTERGRAPHICS
Subjects
Details
- ISSN :
- 24563307
- Database :
- OpenAIRE
- Journal :
- International Journal of Scientific Research in Computer Science, Engineering and Information Technology
- Accession number :
- edsair.doi...........16dd58b1b94b324e85a1957fb3b0db50
- Full Text :
- https://doi.org/10.32628/cseit206663