Thrombus localization in middle cerebral artery of patient with acute ischemic stroke on ncCT image

Donlawit Beesomboon; Natsuda Kaothanthong; Dittapong Songsaeng; Tanapon Chansumpao; Soawapot Sarampakhul

doi:10.1109/STUD49732.2019.9018823

Thrombus localization in middle cerebral artery of patient with acute ischemic stroke on ncCT image

Donlawit Beesomboon
, Natsuda Kaothanthong
, Dittapong Songsaeng
, Tanapon Chansumpao
, Soawapot Sarampakhul

Department of Radiology

Sirindhorn International Institute of Technology, Thammasat University
Siriraj Hospital

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

A common cause of an Acute Ischemic Stroke (AIS) is a thrombus in the middle cerebral artery (MCA). Localizing the thrombus on a set of non-contrast computerized tomography (ncCT) image for some composite type is not easy. This work presents an algorithm for localizing thrombus in MCA region on ncCT using an image processing method. Given an ncCT image P, brain region is extracted by considering a homogeneous intensity area using k-mean cluster. A set of candidate regions is obtained by considering size and average intensity of each connected region. Also, location of the MCA is located to filter the candidate regions that are in the interested region. Experiment is perform on a number of images of the different composite of thrombus. The result shows that the proposed image-processing-based thrombus localization algorithm is able to automatically locate the thrombus on ncCT of both red blood cell-rich and fibrin-rich composite.

Original language	English
Title of host publication	Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	48-54
Number of pages	7
ISBN (Electronic)	9781728164359
DOIs	https://doi.org/10.1109/STUD49732.2019.9018823
Publication status	Published - Dec 2019
Event	1st International Conference on Smart Technology and Urban Development, STUD 2019 - Chiang Mai, Thailand Duration: 13 Dec 2019 → 14 Dec 2019

Publication series

Name	Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019

Conference

Conference	1st International Conference on Smart Technology and Urban Development, STUD 2019
Country/Territory	Thailand
City	Chiang Mai
Period	13/12/19 → 14/12/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

acute ischemic stroke
image processing

Access to Document

10.1109/STUD49732.2019.9018823

Cite this

Beesomboon, D., Kaothanthong, N., Songsaeng, D., Chansumpao, T., & Sarampakhul, S. (2019). Thrombus localization in middle cerebral artery of patient with acute ischemic stroke on ncCT image. In Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019 (pp. 48-54). Article 9018823 (Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/STUD49732.2019.9018823

Beesomboon, Donlawit ; Kaothanthong, Natsuda ; Songsaeng, Dittapong et al. / Thrombus localization in middle cerebral artery of patient with acute ischemic stroke on ncCT image. Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 48-54 (Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019).

@inproceedings{1c45e88905c1406ca60da3edadfadbf6,

title = "Thrombus localization in middle cerebral artery of patient with acute ischemic stroke on ncCT image",

abstract = "A common cause of an Acute Ischemic Stroke (AIS) is a thrombus in the middle cerebral artery (MCA). Localizing the thrombus on a set of non-contrast computerized tomography (ncCT) image for some composite type is not easy. This work presents an algorithm for localizing thrombus in MCA region on ncCT using an image processing method. Given an ncCT image P, brain region is extracted by considering a homogeneous intensity area using k-mean cluster. A set of candidate regions is obtained by considering size and average intensity of each connected region. Also, location of the MCA is located to filter the candidate regions that are in the interested region. Experiment is perform on a number of images of the different composite of thrombus. The result shows that the proposed image-processing-based thrombus localization algorithm is able to automatically locate the thrombus on ncCT of both red blood cell-rich and fibrin-rich composite.",

keywords = "acute ischemic stroke, image processing",

author = "Donlawit Beesomboon and Natsuda Kaothanthong and Dittapong Songsaeng and Tanapon Chansumpao and Soawapot Sarampakhul",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 1st International Conference on Smart Technology and Urban Development, STUD 2019 ; Conference date: 13-12-2019 Through 14-12-2019",

year = "2019",

month = dec,

doi = "10.1109/STUD49732.2019.9018823",

language = "English",

series = "Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Beesomboon, D, Kaothanthong, N, Songsaeng, D, Chansumpao, T & Sarampakhul, S 2019, Thrombus localization in middle cerebral artery of patient with acute ischemic stroke on ncCT image. in Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019., 9018823, Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019, Institute of Electrical and Electronics Engineers Inc., pp. 48-54, 1st International Conference on Smart Technology and Urban Development, STUD 2019, Chiang Mai, Thailand, 13/12/19. https://doi.org/10.1109/STUD49732.2019.9018823

Thrombus localization in middle cerebral artery of patient with acute ischemic stroke on ncCT image. / Beesomboon, Donlawit; Kaothanthong, Natsuda; Songsaeng, Dittapong et al.
Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 48-54 9018823 (Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Thrombus localization in middle cerebral artery of patient with acute ischemic stroke on ncCT image

AU - Beesomboon, Donlawit

AU - Kaothanthong, Natsuda

AU - Songsaeng, Dittapong

AU - Chansumpao, Tanapon

AU - Sarampakhul, Soawapot

PY - 2019/12

Y1 - 2019/12

N2 - A common cause of an Acute Ischemic Stroke (AIS) is a thrombus in the middle cerebral artery (MCA). Localizing the thrombus on a set of non-contrast computerized tomography (ncCT) image for some composite type is not easy. This work presents an algorithm for localizing thrombus in MCA region on ncCT using an image processing method. Given an ncCT image P, brain region is extracted by considering a homogeneous intensity area using k-mean cluster. A set of candidate regions is obtained by considering size and average intensity of each connected region. Also, location of the MCA is located to filter the candidate regions that are in the interested region. Experiment is perform on a number of images of the different composite of thrombus. The result shows that the proposed image-processing-based thrombus localization algorithm is able to automatically locate the thrombus on ncCT of both red blood cell-rich and fibrin-rich composite.

AB - A common cause of an Acute Ischemic Stroke (AIS) is a thrombus in the middle cerebral artery (MCA). Localizing the thrombus on a set of non-contrast computerized tomography (ncCT) image for some composite type is not easy. This work presents an algorithm for localizing thrombus in MCA region on ncCT using an image processing method. Given an ncCT image P, brain region is extracted by considering a homogeneous intensity area using k-mean cluster. A set of candidate regions is obtained by considering size and average intensity of each connected region. Also, location of the MCA is located to filter the candidate regions that are in the interested region. Experiment is perform on a number of images of the different composite of thrombus. The result shows that the proposed image-processing-based thrombus localization algorithm is able to automatically locate the thrombus on ncCT of both red blood cell-rich and fibrin-rich composite.

KW - acute ischemic stroke

KW - image processing

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DO - 10.1109/STUD49732.2019.9018823

M3 - Conference contribution

AN - SCOPUS:85082512611

T3 - Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019

SP - 48

EP - 54

BT - Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1st International Conference on Smart Technology and Urban Development, STUD 2019

Y2 - 13 December 2019 through 14 December 2019

ER -

Beesomboon D, Kaothanthong N, Songsaeng D, Chansumpao T, Sarampakhul S. Thrombus localization in middle cerebral artery of patient with acute ischemic stroke on ncCT image. In Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 48-54. 9018823. (Proceedings - 2019 1st International Conference on Smart Technology and Urban Development, STUD 2019). doi: 10.1109/STUD49732.2019.9018823

Thrombus localization in middle cerebral artery of patient with acute ischemic stroke on ncCT image

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Keywords

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