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Multi-Modal Image Processing and Visualization: Application to PET-CT

Published: 28 June 2016 Publication History

Abstract

Multi-modality medical imaging, such as positron emission tomography and computed tomography (PET-CT) depicts biological and physiological functions (from PET) within a higher resolution anatomical reference frame (from CT). Although it may seem counter-intuitive, the effective assimilation and visualization of these two large data volumes are non-trivial. Multi-modality imaging presents challenges in image processing and visualization, such as with image registration (to register multiple modalities to the same spatial space) and image segmentation (to annotate a region of interest e.g., a tumor), and their subsequent use in the volume rendering visualization. This paper presents our research group's ongoing projects in PET-CT image involving image processing and its application in volume rendering visualization.

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Cited By

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  • (2023)A transfer function optimization using visual saliency for region of interest-based direct volume renderingDisplays10.1016/j.displa.2023.10253180(102531)Online publication date: Dec-2023
  • (2020)Dual-Modality Cardiac Data Real-Time Rendering and Synchronization in Web Browsers2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)10.1109/CCECE47787.2020.9255742(1-5)Online publication date: 30-Aug-2020

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cover image ACM Other conferences
CGI '16: Proceedings of the 33rd Computer Graphics International
June 2016
130 pages
ISBN:9781450341233
DOI:10.1145/2949035
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • FORTH: Foundation for Research and Technology - Hellas

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 June 2016

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Author Tags

  1. Medical Image Processing
  2. Multi-Modal
  3. PET-CT
  4. Volume Rendering

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  • Short-paper
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  • Refereed limited

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CGI '16
CGI '16: Computer Graphics International
June 28 - July 1, 2016
Heraklion, Greece

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Overall Acceptance Rate 35 of 159 submissions, 22%

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Cited By

View all
  • (2023)A transfer function optimization using visual saliency for region of interest-based direct volume renderingDisplays10.1016/j.displa.2023.10253180(102531)Online publication date: Dec-2023
  • (2020)Dual-Modality Cardiac Data Real-Time Rendering and Synchronization in Web Browsers2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)10.1109/CCECE47787.2020.9255742(1-5)Online publication date: 30-Aug-2020

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