Sensitivity of Initial Pose Variations to Feature based 3D-2D Registration in Vertebral Pose Estimation

Ushakiran, H. Anitha, Shyamasunder N. Bhat, Roshan R. Naik

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

4 Citations (Scopus)

Abstract

The vertebral pose is accurately estimated by registering the pre-operative MRI with the intra-operative x-ray during the surgery. The registration task becomes considerably more challenging for multimodal images due to differences in image pixel intensities. The registration algorithm fails when there is a large initial displacement between the images. This paper proposes a feature-based 3D to 2D registration to accurately align pre-operative MRI with intra-operative X-ray with large displacement. The experiment was conducted on the simulated images by varying the initial displacements. The results demonstrate that the proposed method can increase the starting displacement upto a range of ±20mm and ±10° displacements in all translation and rotation parameters, respectively, by providing a high accuracy.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2022
EditorsB. P. Divakar, Vishwanath R. Hulipalled, Mallikarjun M. Kodabagi, M Devanathan, G Parthasarathy
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665456647
DOIs
Publication statusPublished - 2022
Event3rd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2022 - Bengaluru, India
Duration: 16-12-202217-12-2022

Publication series

NameProceedings of the 3rd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2022

Conference

Conference3rd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2022
Country/TerritoryIndia
CityBengaluru
Period16-12-2217-12-22

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Instrumentation

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