Rule-based fuzzy vector median filters for 3D phase contrast MRI segmentation

Kartik S. Sundareswaran, David H. Frakes, Ajit P. Yoganathan

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

Abstract

Recent technological advances have contributed to the advent of phase contrast magnetic resonance imaging (PCMRI) as standard practice in clinical environments. In particular, decreased scan times have made using the modality more feasible. PCMRI is now a common tool for flow quantification, and for more complex vector field analyses that target the early detection of problematic flow conditions. Segmentation is one component of this type of application that can impact the accuracy of the final product dramatically. Vascular segmentation, in general, is a long-standing problem that has received significant attention. Segmentation in the context of PCMRI data, however, has been explored less and can benefit from object-based image processing techniques that incorporate fluids specific information. Here we present a fuzzy rule-based adaptive vector median filtering (FAVMF) algorithm that in combination with active contour modeling facilitates high-quality PCMRI segmentation while mitigating the effects of noise. The FAVMF technique was tested on 111 synthetically generated PC MRI slices and on 15 patients with congenital heart disease. The results were compared to other multi-dimensional filters namely the adaptive vector median filter, the adaptive vector directional filter, and the scalar low pass filter commonly used in PC MRI applications. FAVMF significantly outperformed the standard filtering methods (p < 0.0001). Two conclusions can be drawn from these results: a) Filtering should be performed after vessel segmentation of PC MRI; b) Vector based filtering methods should be used instead of scalar techniques.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Computational Imaging VI
DOIs
StatePublished - Jun 17 2008
Externally publishedYes
EventComputational Imaging VI - San Jose, CA, United States
Duration: Jan 28 2008Jan 29 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6814
ISSN (Print)0277-786X

Other

OtherComputational Imaging VI
CountryUnited States
CitySan Jose, CA
Period1/28/081/29/08

Keywords

  • Active contours
  • Fuzzy systems
  • Noise filtering
  • PC MRI
  • Segmentation
  • Vector median filtering

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Sundareswaran, K. S., Frakes, D. H., & Yoganathan, A. P. (2008). Rule-based fuzzy vector median filters for 3D phase contrast MRI segmentation. In Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging VI [68140F] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6814). https://doi.org/10.1117/12.776498