Automated artefact elimination in computed tomography: A preliminary report for traumatic brain injury and stroke

Author

Dae-Hyeon Park ; Hakseung Kim ; Young-Tak Kim ; Xiao ke Yang ; Hack-Jin Lee ; Eun-Jin Jeong ; Dong-Joo Kim

Author_Institution

Dept. of Brain & Cognitive Eng., Korea Univ., Seoul, South Korea

fYear

2015

fDate

12-14 Jan. 2015

Firstpage

1

Lastpage

3

Abstract

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.

Keywords

brain; computerised tomography; injuries; neurophysiology; ABI; CT images; ROI; TBI; acquired brain injury; automated artefact elimination technique; computed tomography; fracture-sealing algorithm; pseudo-object pixels; traumatic brain injury; traumatic brain stroke; Algorithm design and analysis; Brain injuries; Computed tomography; Decision support systems; Handheld computers; Artefact Removing Algorithm; Computed tomography; Quntitatve CT analysis; Stroke; Traumatic brain injury;

fLanguage

English

Publisher

ieee

Conference_Titel

Brain-Computer Interface (BCI), 2015 3rd International Winter Conference on

Conference_Location

Sabuk

Print_ISBN

978-1-4799-7494-8

Type

conf

DOI

10.1109/IWW-BCI.2015.7073038

Filename

7073038