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Proceedings Paper

Stroke prognosis by applying double thresholds on CT-perfusion-brain images
Author(s): Somchart Chokchaitam; Nittaya Santipromwong; Sombat Muengtaweepongsa
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Paper Abstract

The CT-perfusion image shows information of brain abnormalities such as its size and location. Generally, neurologist diagnoses stroke disease using CT-perfusion images such as Cerebral blood flow (CBF), cerebral blood volume (CBV). In our previous report, we applied threshold technique to divide amount of CBV and CBF into low and high level. Then, their levels are applied to identify normal tissue areas, dead tissue areas (infract core) and blood-cot tissue areas (infract penumbra). However, it’s not totally correct, if the same threshold is applied to the whole area (it must depend on size of blood vessel in that area. In this report, we propose double thresholds to divided CBV and CBF into 3 levels: very low, medium and very high levels. Very low and very high levels are definitely implied to bad areas and good areas, respectively. The proposed double thresholds makes stroke prognosis more accurate. The simulation results confirm that our proposed results closed to results defined from neurologist comparing to the conventional results.

Paper Details

Date Published: 14 March 2013
PDF: 5 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876845 (14 March 2013); doi: 10.1117/12.2011164
Show Author Affiliations
Somchart Chokchaitam, Thammasat Univ. (Thailand)
Nittaya Santipromwong, Thammasat Univ. (Thailand)
Sombat Muengtaweepongsa, Thammasat Univ. (Thailand)


Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

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