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Proceedings Paper

Segmentation of arteries and veins on 4D CT perfusion scans for constructing arteriograms and venograms
Author(s): Adriënne Mendrik; Evert-jan Vonken; Annet Waaijer; Ewoud Smit; Mathias Prokop; Bram van Ginneken
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Paper Abstract

3D CT Angiography (CTA) scans are currently used to assess the cerebral arteries. An additional 4D CT Perfusion (CTP) scan is often acquired to determine perfusion parameters in the cerebral parenchyma. We propose a method to extract a three dimensional volume showing either the arteries (arteriogram) or the veins (venogram) from the 4D CTP scan. This would allow cerebrovascular assessment using the CTP scan and obviate the need for acquiring an additional CTA scan. Preprocessing steps consist of registration of the time volumes of the CTP scan using rigid registration and masking out extracranial structures, bone and air. Next a 3D volume is extracted containing the vessels (vascular volume) by using the absolute area under the first derivative curve in time. To segment the arteries and veins we use the time to peak of the contrast enhancement curve combined with region growing within a rough vessel segmentation. Finally the artery/vein segmentation is used to suppress either the veins or the arteries in the vascular volume to construct the arteriogram and venogram. To evaluate the method, 11 arteriograms and venograms were visually inspected by an expert observer, with special attention to the important cerebral arteries (Circle of Willis) and veins (straight and transverse sinus). Results show that the proposed method is effective in extracting the major cerebral arteries and veins from CTP scans.

Paper Details

Date Published: 27 March 2009
PDF: 7 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72590Z (27 March 2009); doi: 10.1117/12.812135
Show Author Affiliations
Adriënne Mendrik, Univ. Medical Ctr. Utrecht (Netherlands)
Evert-jan Vonken, Univ. Medical Ctr. Utrecht (Netherlands)
Annet Waaijer, Univ. Medical Ctr. Utrecht (Netherlands)
Ewoud Smit, Univ. Medical Ctr. Utrecht (Netherlands)
Mathias Prokop, Univ. Medical Ctr. Utrecht (Netherlands)
Bram van Ginneken, Univ. Medical Ctr. Utrecht (Netherlands)


Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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