Automated tissue characterization in MR imaging

Juergen Braun; Johannes Bernarding; Hans-Christian Koennecke; Karl Juergen Wolf; Thomas Tolxdorff

doi:10.1117/12.383427

20 April 2000 Automated tissue characterization in MR imaging

Juergen Braun, Johannes Bernarding, Hans-Christian Koennecke, Karl Juergen Wolf, Thomas Tolxdorff

Proceedings Volume 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images; (2000) https://doi.org/10.1117/12.383427
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

Abstract

A histogram-based segmentation technique was extended to exploit information acquired by manifold MRI techniques. An automated method was used to combine T₂-weighted imaging, diffusion-weighted imaging (DWI), and derived maps of the quantitative apparent diffusion coefficient (ADC). DWI allows the early detection of cerebral ischemia, and the calculated ADC value may provide information on pathophysiologic changes. Different optionally shaped clusters were characterized as separate local density maxima in the resultant 3D histogram. Cluster borders were determined by detecting density minima. Distinct but related clusters could be merged in the histogram using the Euclidian distance and a score describing the spatial neighborhood of pixels in the image. In healthy volunteers, gray matter, white matter, muscle, skin, adipose tissue, and cerebrospinal fluid were clearly identified by the automated analysis. In stroke patients, ischemic regions were reliably segmented irrespective of shape, size, and location. The time course of relative ADC changes in ischemic lesions was determined. Results were confirmed by a radiologist. The proposed automatic segmentation algorithm can be used without restrictions for the fast analysis of any multidimensional dataset. The method has proved to be reliable for determining quantities containing information on the physiologic state of tissue, such as the ADC.

Citation Download Citation

Juergen Braun, Johannes Bernarding, Hans-Christian Koennecke, Karl Juergen Wolf, and Thomas Tolxdorff "Automated tissue characterization in MR imaging", Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); https://doi.org/10.1117/12.383427

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