Computer-Aided Diagnosis for Acute Stroke in CT Images

Lee, Yongbum; Takahashi, Noriyuki; Tsai, Du-Yih

doi:10.5772/22232

Cited by 4 publications

(2 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A pixel whose Dev Norm is smaller (i.e., more negative) than a preset threshold is considered to be a candidate of focal hypoattenuation and is used in the subsequent attempt to form focal hypoattenuation clusters. In comparison with the Z score method [14][15][16] which derived a standardized mean, μ, and standard deviation, σ, from a cohort of normal subjects, our approach has the benefit of being more adaptive to the variations of scanner parameters, such as KVP, milliampere exposure, window width and center settings, as well as variations between individual subjects. To enhance the reliability of focal hypoattenuation identification, we have also taken the slice immediately beneath the lower slice at the ganglionic level into consideration.…”

Section: Detection Of Early Ischemic Changes For Regions C Ic and Lmentioning

confidence: 99%

“…Maldjian et al presented an automated method to identify potential acute ischemia in the lentiform nucleus and insula as a demonstration of their method [12]. Lee, Takahashi and colleagues [13][14][15][16] introduced an adaptive partial median filter to enhance CT signals and a Z score mapping method that calculates each pixel's distance with respect to its "normalized reference" counterpart as a helpful aid in detecting anomaly. The Z score is calculated on a voxel-by-voxel basis by referencing a standard CT brain atlas using SPM software.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Computer-Aided Diagnosis of Hyperacute Stroke with Thrombolysis Decision Support Using a Contralateral Comparative Method of CT Image Analysis

et al. 2014

View full text Add to dashboard Cite

New and improved techniques have been continuously introduced into CT and MR imaging modalities for the diagnosis and therapy planning of acute stroke. Nevertheless, non-contrast CT (NCCT) is almost always used by every institution as the front line diagnostic imaging modality due to its high affordability and availability. Consequently, the potential reward of extracting as much clinical information as possible from NCCT images can be very great. Intravenous tissue plasminogen activator (tPA) has become the gold standard for treating acute ischemic stroke because it is the only acute stroke intervention approved by the FDA. ASPECTS scoring based on NCCT images has been shown to be a reliable scoring method that helps physicians to make sound decisions regarding tPA administration. In order to further reduce inter-observer variation, we have developed the first end-to-end automatic ASPECTS scoring system using a novel method of contralateral comparison. Due to the self-adaptive nature of the method, our system is robust and has good generalizability. ROC analysis based on evaluation of 103 subjects who presented to the stroke center of Chang Gung Memorial Hospital with symptoms of acute stroke has shown that our system's dichromatic classification of patients into thrombolysis indicated or thrombolysis contraindicated groups has achieved a high accuracy rate with AUC equal to 90.2 %. The average processing time for a single case is 170 s. In conclusion, our system has the potential of enhancing quality of care and providing clinical support in the setting of a busy stroke or emergency center.

show abstract

Section: Detection Of Early Ischemic Changes For Regions C Ic and Lmentioning

confidence: 99%