Automated Artefact Elimination in Computed Tomography: A Preliminary Report for Traumatic Brain Injury and Stroke

被引：0

作者：

Park, Dae-Hyeon ^{[1
]}

Kim, Hakseung ^{[1
]}

Kim, Young-Tak ^{[1
]}

Yang, Xiao Ke ^{[1
]}

Lee, Hack-Jin ^{[1
]}

Jeong, Eun-Jin ^{[2
]}

Kim, Dong-Joo ^{[1
]}

机构：

[1] Korea Univ, Dept Brain & Cognit Engn, Seoul, South Korea

[2] Korea Univ, Dept Biomed Engn, Seoul, South Korea

来源：

3RD INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE | 2015年

关键词：

Computed tomography; Traumatic brain injury; Stroke; Quntitatve CT analysis; Artefact Removing Algorithm;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Traumatic brain injury (TBI) and stroke are the two major form of Acquired brain injury (ABI). To the effectiveness of the quantitative CT analysis in ABI, fully automated artefact elimination technique would be required. So, this study purpose to test the effectiveness of proposed algorithm against CT images from TBI and stroke patients. For the effectiveness of automated artefact elimination algorithm, CT images from stroke and TBI subjects were used, 522 and 240 respectively. As a result, the algorithm showed 100% success rate in eliminating artefacts by using 'fracture -sealing' algorithm. This algorithm was able to eliminate artefacts in CT image with acceptable failure rate. The fracture -sealing algorithm by utilizing pseudo -object pixels can be also useful for designating ROI, and for the automated artifact elimination.

引用

页码：60 / 62

页数：3

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