Regular Articles

Framework for cognitive analysis of dynamic perfusion computed tomography with visualization of large volumetric data

[+] Author Affiliations
Tomasz Hachaj

Pedagogical University of Krakow, Institute of Computer Science and Computer Methods, 2 Podchorazych Ave, 30-084 Krakow, Poland

Marek R. Ogiela

AGH University of Science and Technology, 30 Mickiewicza Avenue, 30-059 Krakow, Poland

J. Electron. Imaging. 21(4), 043017 (Nov 30, 2012). doi:10.1117/1.JEI.21.4.043017
History: Received May 4, 2012; Revised October 8, 2012; Accepted November 6, 2012
Text Size: A A A

Abstract.  The proposed framework for cognitive analysis of perfusion computed tomography images is a fusion of image processing, pattern recognition, and image analysis procedures. The output data of the algorithm consists of: regions of perfusion abnormalities, anatomy atlas description of brain tissues, measures of perfusion parameters, and prognosis for infracted tissues. That information is superimposed onto volumetric computed tomography data and displayed to radiologists. Our rendering algorithm enables rendering large volumes on off-the-shelf hardware. This portability of rendering solution is very important because our framework can be run without using expensive dedicated hardware. The other important factors are theoretically unlimited size of rendered volume and possibility of trading of image quality for rendering speed. Such rendered, high quality visualizations may be further used for intelligent brain perfusion abnormality identification, and computer aided-diagnosis of selected types of pathologies.

Figures in this Article
© 2012 SPIE and IS&T

Citation

Tomasz Hachaj and Marek R. Ogiela
"Framework for cognitive analysis of dynamic perfusion computed tomography with visualization of large volumetric data", J. Electron. Imaging. 21(4), 043017 (Nov 30, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.4.043017


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.