Automatic Detection and Lesion Description in Cerebral Blood Flow and Cerebral Blood Volume Perfusion Maps-Reference-Cited by-同舟云学术

Automatic Detection and Lesion Description in Cerebral Blood Flow and Cerebral Blood Volume Perfusion Maps

Published:2010-02-04 Issue:3 Volume:61 Page:317-328
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Hachaj Tomasz,Ogiela Marek R.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11265-010-0454-0.pdf

Reference24 articles.

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2. Hachaj, T. (2008). An algorithm for detecting lesions in CBF and CBV perfusion maps. Bio-Algorithms and Med-Systems, 7, 35–41.

3. Hachaj, T. (2008). The unified algorithm for detection of potential lesions in dynamic perfusion maps cerebral blood flow, cerebral blood flow and time to peek. Journal of Medical Informatics & Technologies, 12, 117–122. Computer Systems Dept. University of Silesia.

4. Hachaj, T. (2008). The registration and atlas construction of noisy brain computer tomography images based on free form deformation technique. Bio-Algorithms and Med-Systems, 7, 43–50.

5. Sasaki, M., Kudo, K., & Oikawa, H. (2006). CT perfusion for acute stroke: current concepts on technical aspects and clinical applications. International Congress Series, 1290, 30–36.

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