Fast fusion of medical images based on bayesian risk minimization and pixon map

Hongbo Zhou, Qiang Cheng, Mehdi Zargham

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

3 Citations (Scopus)

Abstract

Fast fusion of multiple registered out-of-focus images is of great interest in medical imaging; for example, the thoracic cavity is always too bumpy to be focused on all parts at one shot even when we can omit the unavoidable hardware vibrations. Previous proposed methods in this field cannot fulfill the realtime requirement in our multiple camera medical imaging setting. In this paper, we propose a multiresolution Bayesian risk minimization based method to fuse these chest cavity images. The validity and efficiency of our method are verified by our experiments on both out-of-focus medical images and regional motion blurred images. By choosing special kernel functions for the Pixon map and adopting uniform distribution as the prior probability, our method can be applied to the real-time medical imaging situations such as surgical operation monitoring.

Original languageEnglish
Title of host publicationProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009
Pages1086-1091
Number of pages6
DOIs
StatePublished - 3 Dec 2009
Event7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009 - Vancouver, BC, Canada
Duration: 29 Aug 200931 Aug 2009

Publication series

NameProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
Volume2

Conference

Conference7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009
CountryCanada
CityVancouver, BC
Period29/08/0931/08/09

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Medical imaging
Fusion reactions
Electric fuses
Cameras
Hardware
Monitoring
Experiments

Cite this

Zhou, H., Cheng, Q., & Zargham, M. (2009). Fast fusion of medical images based on bayesian risk minimization and pixon map. In Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009 (pp. 1086-1091). [5283469] (Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009; Vol. 2). https://doi.org/10.1109/CSE.2009.59
Zhou, Hongbo ; Cheng, Qiang ; Zargham, Mehdi. / Fast fusion of medical images based on bayesian risk minimization and pixon map. Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009. 2009. pp. 1086-1091 (Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009).
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title = "Fast fusion of medical images based on bayesian risk minimization and pixon map",
abstract = "Fast fusion of multiple registered out-of-focus images is of great interest in medical imaging; for example, the thoracic cavity is always too bumpy to be focused on all parts at one shot even when we can omit the unavoidable hardware vibrations. Previous proposed methods in this field cannot fulfill the realtime requirement in our multiple camera medical imaging setting. In this paper, we propose a multiresolution Bayesian risk minimization based method to fuse these chest cavity images. The validity and efficiency of our method are verified by our experiments on both out-of-focus medical images and regional motion blurred images. By choosing special kernel functions for the Pixon map and adopting uniform distribution as the prior probability, our method can be applied to the real-time medical imaging situations such as surgical operation monitoring.",
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Zhou, H, Cheng, Q & Zargham, M 2009, Fast fusion of medical images based on bayesian risk minimization and pixon map. in Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009., 5283469, Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009, vol. 2, pp. 1086-1091, 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009, Vancouver, BC, Canada, 29/08/09. https://doi.org/10.1109/CSE.2009.59

Fast fusion of medical images based on bayesian risk minimization and pixon map. / Zhou, Hongbo; Cheng, Qiang; Zargham, Mehdi.

Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009. 2009. p. 1086-1091 5283469 (Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009; Vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Zhou H, Cheng Q, Zargham M. Fast fusion of medical images based on bayesian risk minimization and pixon map. In Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009. 2009. p. 1086-1091. 5283469. (Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009). https://doi.org/10.1109/CSE.2009.59