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Comparative Analysis of CT Scan Resolutions for Accurate Vertebral Segmentation and 3D Modeling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The resolution of Computed tomography (CT) scans plays an important role in the accuracy of vertebra segmentation and subsequent 3D model reconstruction which are essential for precise clinical applications and 3D printing. This study provides a comparative analysis of 1mm and 3mm CT scan resolutions that specifically focus on the segmentation of the L3 and L4 vertebrae using 3D Slicer. The 1mm resolution demonstrated superior performance with a Dice coefficient of 0.92 compared to 0.85 for the 3mm resolution by highlighting the significant impact of higher resolution on segmentation accuracy. The study also discusses the importance of image resolution proposing that 1mm scans offer enhanced precision for detailed 3D reconstruction. 3mm scans may suffice in scenarios where lower precision is acceptable. These findings emphasize the need for careful selection of CT scan resolution based on the intended clinical or research application by paving the way for optimized patient outcomes and efficient resource utilization.

Original languageEnglish
Title of host publication2024 3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350391244
DOIs
Publication statusPublished - 2024
Event3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024 - Manipal, India
Duration: 12-12-202414-12-2024

Publication series

Name2024 3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024

Conference

Conference3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024
Country/TerritoryIndia
CityManipal
Period12-12-2414-12-24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Computational Mathematics
  • Instrumentation
  • Electrical and Electronic Engineering

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