Visual Analysis Of Cerebral Perfusion Data-Four Interactive Approaches And A Comparison
2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009)(2009)
摘要
Cerebral perfusion data are acquired to characterize the regional blood supply of brain tissue. One of their major diagnostic applications is ischemic stroke assessment. We present a comparison of four interactive approaches to analyzing cerebral perfusion data from ischemic stroke patients which are based on (1) concentration-time curves (CTC) derived from the original data., (2) parameters describing the CTC shape, (3) enhancement trends computed in a statistical analysis, and (4) semi-quantitative perfusion parameters derived via parametric modelling and deconvolution. The comparison is carried out with regard to the involved data pre-processing, the complexity of the interactive analysis and the resulting tissue selections. It is supported by a visual analysis framework that integrates the different approaches. The rich information content in time-dependent 3D perfusion data is both an opportunity for improved diagnosis and a challenge how to optimize the assessment of such rich data. With our comparison we contribute to a discussion between data-near and model-near assessment strategies and their respective opportunities.
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关键词
data mining,statistical analysis,cerebral perfusion,diagnosis,information content,data visualization,visualization,visual analysis,shape
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