Intra-pixel multispectral processing of magnetic resonance brain images for tissue characterisation

  • Authors:

  • Clayton Chi-Chang Chen;Englin Wong;Hsian-Min Chen;Shih-Yu Chen;Jyh-Wen Chai;Ching-Wen Yang;San-Kan Lee;Yong-Kie Wong;Chein-I Chang

  • Affiliations:

  • Department of Radiology, Taichung Veterans General Hospital, No. 160, Sec. 3, Chung-Kang Rd., Taichung, 40705, Taiwan;Remote Sensing Signal and Image Processing Laboratory, Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, USA;Department of Biomedical Engineering, HungKuang University, No. 1018, Sec. 6, Taiwan Boulevard, Shalu District, Taichung, 43302, Taiwan;Remote Sensing Signal and Image Processing Laboratory, Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, USA;Department of Radiology, Taichung Veterans General Hospital, No. 160, Sec. 3, Chung-Kang Rd., Taichung, 40705, Taiwan/ Department of Radiology, China Medical University, No. 91, Hsueh-Shih Road, T ...;Computer Center, Taichung Veterans General Hospital, No. 160, Sec. 3, Chung-Kang Rd., Taichung, 40705, Taiwan;Department of Radiology, Taichung Veterans General Hospital, No. 160, Sec. 3, Chung-Kang Rd., Taichung, 40705, Taiwan;Dental Department, Taichung Veterans General Hospital, No. 160, Sec. 3, Chung-Kang Rd., Taichung, 40705, Taiwan;Remote Sensing Signal and Image Processing Laboratory, Department of Computer Science and Electrical Engineering, Room 231 Engineering/Computer Science Building, University of Maryland, Baltimore ...

  • Venue:
  • International Journal of Computational Science and Engineering
  • Year:
  • 2013

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Abstract

Magnetic resonance MR image analysis is generally performed by spatial domainbased image processing, referred to as inter-pixel image processing, which takes advantage of spatial correlation among sample pixels. Unfortunately, in many areas, several tissue substances are usually present and mixed in a single image pixel in which such an inter-pixel processing either fails or is ineffective. To resolve this dilemma, this paper develops an unconventional approach, called intra-pixel processing, which considers MR images as multispectral images where a multispectral MR image pixel is actually a pixel vector, of which each component is captured by a particular image pulse sequence used for MR image acquisition. Since the commonly used receiver operating characteristic ROC curves cannot directly deal with the issues arising in intra-pixel processing, a 3D ROC analysis is developed by including a parameter t as the third dimension that represents abundance fractions thresholded by τ.