Accelerated Digitally Reconstructed Radiograph Generation Scheme for 2D to 3D Image Registration of Vertebrae Based on Sparse Sampling and Multi-Resolution

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

Abstract

Recent advancements in spine surgery use image guided intervention systems to enhance surgical accuracy for incorporating pedicle screw constructs. Two-dimensional (2D) to three-dimensional (3D) image registration helps in treatment planning and verification by mapping the Digitally Reconstructed Radiograph (DRR) images, rendered from 3D CT volumetric data to 2D C-arm images. Conventional approach of ray casting which is followed for DRR generation helps to reduce the risk of wrong site surgery and provide superior accuracy. However, it consumes significant amount of time due to complex computational intensity. An effective method is proposed to reduce the time taken for DRR generation by exploiting the redundant information hidden in the CT images with the help of sparse sampling and multi-resolution using Discrete Wavelet Transform. Beginning with 2D to 3D image registration methods, this study emphasizes on acceleration of DRR by spatial and temporal resolution of sagittal slices of the CT data, while maintaining the quality consistent with that needed for image registration. This method was found to generate DRR at a much faster rate of 84%.

Original languageEnglish
Title of host publication2017 9th International Conference on Advanced Computing, ICoAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages51-57
Number of pages7
ISBN (Print)9781538643495
DOIs
Publication statusPublished - 20-08-2018
Event9th International Conference on Advanced Computing, ICoAC 2017 - Chennai, India
Duration: 14-12-201716-12-2017

Conference

Conference9th International Conference on Advanced Computing, ICoAC 2017
CountryIndia
CityChennai
Period14-12-1716-12-17

Fingerprint

Image registration
Spine
Sampling
Surgery
Computer-Assisted Surgery
Medical Errors
Wavelet Analysis
Cone-Beam Computed Tomography
Three-Dimensional Imaging
Discrete wavelet transforms
Casting
Planning
Registration
Therapeutics

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management

Cite this

Bhat, V., Bhat, S. N., & Anitha, H. (2018). Accelerated Digitally Reconstructed Radiograph Generation Scheme for 2D to 3D Image Registration of Vertebrae Based on Sparse Sampling and Multi-Resolution. In 2017 9th International Conference on Advanced Computing, ICoAC 2017 (pp. 51-57). [8441330] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICoAC.2017.8441330
Bhat, Vidya ; Bhat, Shvamasunder N. ; Anitha, H. / Accelerated Digitally Reconstructed Radiograph Generation Scheme for 2D to 3D Image Registration of Vertebrae Based on Sparse Sampling and Multi-Resolution. 2017 9th International Conference on Advanced Computing, ICoAC 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 51-57
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abstract = "Recent advancements in spine surgery use image guided intervention systems to enhance surgical accuracy for incorporating pedicle screw constructs. Two-dimensional (2D) to three-dimensional (3D) image registration helps in treatment planning and verification by mapping the Digitally Reconstructed Radiograph (DRR) images, rendered from 3D CT volumetric data to 2D C-arm images. Conventional approach of ray casting which is followed for DRR generation helps to reduce the risk of wrong site surgery and provide superior accuracy. However, it consumes significant amount of time due to complex computational intensity. An effective method is proposed to reduce the time taken for DRR generation by exploiting the redundant information hidden in the CT images with the help of sparse sampling and multi-resolution using Discrete Wavelet Transform. Beginning with 2D to 3D image registration methods, this study emphasizes on acceleration of DRR by spatial and temporal resolution of sagittal slices of the CT data, while maintaining the quality consistent with that needed for image registration. This method was found to generate DRR at a much faster rate of 84{\%}.",
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Bhat, V, Bhat, SN & Anitha, H 2018, Accelerated Digitally Reconstructed Radiograph Generation Scheme for 2D to 3D Image Registration of Vertebrae Based on Sparse Sampling and Multi-Resolution. in 2017 9th International Conference on Advanced Computing, ICoAC 2017., 8441330, Institute of Electrical and Electronics Engineers Inc., pp. 51-57, 9th International Conference on Advanced Computing, ICoAC 2017, Chennai, India, 14-12-17. https://doi.org/10.1109/ICoAC.2017.8441330

Accelerated Digitally Reconstructed Radiograph Generation Scheme for 2D to 3D Image Registration of Vertebrae Based on Sparse Sampling and Multi-Resolution. / Bhat, Vidya; Bhat, Shvamasunder N.; Anitha, H.

2017 9th International Conference on Advanced Computing, ICoAC 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 51-57 8441330.

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

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Bhat V, Bhat SN, Anitha H. Accelerated Digitally Reconstructed Radiograph Generation Scheme for 2D to 3D Image Registration of Vertebrae Based on Sparse Sampling and Multi-Resolution. In 2017 9th International Conference on Advanced Computing, ICoAC 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 51-57. 8441330 https://doi.org/10.1109/ICoAC.2017.8441330