Detection of pulmonary perfusion patterns in patients with pulmonary embolism by ultrafast CT

Christopher J. Wolfkiel

doi:10.1117/12.209710

24 May 1995 Detection of pulmonary perfusion patterns in patients with pulmonary embolism by ultrafast CT

Christopher J. Wolfkiel

Proceedings Volume 2433, Medical Imaging 1995: Physiology and Function from Multidimensional Images; (1995) https://doi.org/10.1117/12.209710
Event: Medical Imaging 1995, 1995, San Diego, CA, United States

Abstract

This report outlines a method of automatically segmenting pulmonary perfusion regions from ultrafast CT data. Segmenting was performed by a k-means clustering of unenhanced, maximal enhancement and both parameters. Time density curves from distinct regions were generated and perfusion determined. In two example subjects with pulmonary embolism hypoperfused regions were identified. In a normal subject slight gravity related gradient hypoperfusion was also detected. These preliminary results suggest that automated segmentation of UFCT pulmonary perfusion scans is possible and could greatly improve the clinical utility of the scanning technology.

Citation Download Citation

Christopher J. Wolfkiel "Detection of pulmonary perfusion patterns in patients with pulmonary embolism by ultrafast CT", Proc. SPIE 2433, Medical Imaging 1995: Physiology and Function from Multidimensional Images, (24 May 1995); https://doi.org/10.1117/12.209710

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