Using the fourth dimension to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans
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Publication date
2015-01-01
Authors
Mendrik, AM
Vonken, E. P. A.
Witkamp, TD
Prokop, Mathias
van Ginneken, Bram
Viergever, Max
Editors
Durrleman, Stanley
Fletcher, Tom
Gerig, Guido
Niethammer, Marc
Pennec, Xavier
Advisors
Supervisors
Document Type
Part of book
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taverne
Abstract
High resolution 4D (3D+time) cerebral CT perfusion (CTP) scans can be used to create 3D arteriograms (showing only arteries) and venograms (only veins). However, due to the low X-ray radiation dose used for acquiring the CTP scans, they are inherently noisy. In this paper, we propose a time intensity profile similarity (TIPS) anisotropic diffusion method that uses the 4th dimension to distinguish between structures, for reducing noise and enhancing arteries and veins in 4D CTP scans. The method was evaluated on 20 patient CTP scans. An observer study was performed by two radiologists, assessing the arteries and veins in arteriograms and venograms derived from the filtered CTP data, compared to those derived from the original data. Results showed that arteriograms and venograms derived from the filtered CTP data showed more and better visualized small arteries and veins in the majority of the 20 evaluated CTP scans. In conclusion, arteries and veins are separately enhanced and noise is reduced by using the time-intensity profile similarity (fourth dimension) to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans.
Keywords
Taverne, General Computer Science, Theoretical Computer Science
Citation
Mendrik, AM, Vonken, EPA, Witkamp, TD, Prokop, M, Van Ginneken, B & Viergever, M A 2015, Using the fourth dimension to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans. in S Durrleman, T Fletcher, G Gerig, M Niethammer & X Pennec (eds), Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data : Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science , vol. 8682, Springer-Verlag, pp. 79-87, 3rd International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2014 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, Boston, Netherlands, 18/09/14. https://doi.org/10.1007/978-3-319-14905-9_7, conference