Unsupervised Corpus Callosum Extraction for T2-FLAIR MRI Images

Evan Kusuma Susanto; Junaidi; Fadhel Akhmad Hizham; Riyanarto Sarno; Aziz Fajar

doi:10.1109/EIConCIT50028.2021.9431894

Unsupervised Corpus Callosum Extraction for T2-FLAIR MRI Images

Evan Kusuma Susanto, Junaidi, Fadhel Akhmad Hizham, Riyanarto Sarno, Aziz Fajar

Institut Teknologi Sepuluh Nopember

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

2 Citations (Scopus)

Abstract

Many algorithms and methods have been published regarding Corpus Callosum extraction from MRI images. However, all of these approaches use T1-weighted images or existing human brain atlas as their basis. We propose a new algorithm that can work with T2-FLAIR image the basis of our method is from the observation that corpus callosum is located directly above a cavity inside the brain in almost every MRI images. We highlight the corpus callosum by first extracting the cavity inside the brain and then performing a morphological dilation upwards to get the rough location of the corpus callosum. Our evaluation shows that this method achieves an average of 76.90% in DSC when used to extract corpus callosum from 30 different images and 3 different subjects.

Original language	English
Title of host publication	3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021
Editors	Rayner Alfred, Haviluddin Haviluddin, Aji Prasetya Wibawa, Joan Santoso, Fachrul Kurniawan, Hartarto Junaedi, Purnawansyah Purnawansyah, Endang Setyati, Herman Thuan To Saurik, Esther Irawati Setiawan, Eka Rahayu Setyaningsih, Edwin Pramana, Yosi Kristian, Kelvin Kelvin, Devi Dwi Purwanto, Eunike Kardinata, Prananda Anugrah
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	116-121
Number of pages	6
ISBN (Electronic)	9781665405140
DOIs	https://doi.org/10.1109/EIConCIT50028.2021.9431894
Publication status	Published - 9 Apr 2021
Event	3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021 - Virtual, Surabaya, Indonesia Duration: 9 Apr 2021 → 11 Apr 2021

Publication series

Name	3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021

Conference

Conference	3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021
Country/Territory	Indonesia
City	Virtual, Surabaya
Period	9/04/21 → 11/04/21

Keywords

Brain
Corpus callosum
Image segmentation

Access to Document

10.1109/EIConCIT50028.2021.9431894

Cite this

Susanto, E. K., Junaidi, Hizham, F. A., Sarno, R., & Fajar, A. (2021). Unsupervised Corpus Callosum Extraction for T2-FLAIR MRI Images. In R. Alfred, H. Haviluddin, A. P. Wibawa, J. Santoso, F. Kurniawan, H. Junaedi, P. Purnawansyah, E. Setyati, H. T. T. Saurik, E. I. Setiawan, E. R. Setyaningsih, E. Pramana, Y. Kristian, K. Kelvin, D. D. Purwanto, E. Kardinata, & P. Anugrah (Eds.), 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021 (pp. 116-121). Article 9431894 (3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EIConCIT50028.2021.9431894

Susanto, Evan Kusuma ; Junaidi ; Hizham, Fadhel Akhmad et al. / Unsupervised Corpus Callosum Extraction for T2-FLAIR MRI Images. 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021. editor / Rayner Alfred ; Haviluddin Haviluddin ; Aji Prasetya Wibawa ; Joan Santoso ; Fachrul Kurniawan ; Hartarto Junaedi ; Purnawansyah Purnawansyah ; Endang Setyati ; Herman Thuan To Saurik ; Esther Irawati Setiawan ; Eka Rahayu Setyaningsih ; Edwin Pramana ; Yosi Kristian ; Kelvin Kelvin ; Devi Dwi Purwanto ; Eunike Kardinata ; Prananda Anugrah. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 116-121 (3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021).

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title = "Unsupervised Corpus Callosum Extraction for T2-FLAIR MRI Images",

abstract = "Many algorithms and methods have been published regarding Corpus Callosum extraction from MRI images. However, all of these approaches use T1-weighted images or existing human brain atlas as their basis. We propose a new algorithm that can work with T2-FLAIR image the basis of our method is from the observation that corpus callosum is located directly above a cavity inside the brain in almost every MRI images. We highlight the corpus callosum by first extracting the cavity inside the brain and then performing a morphological dilation upwards to get the rough location of the corpus callosum. Our evaluation shows that this method achieves an average of 76.90% in DSC when used to extract corpus callosum from 30 different images and 3 different subjects.",

keywords = "Brain, Corpus callosum, Image segmentation",

author = "Susanto, {Evan Kusuma} and Junaidi and Hizham, {Fadhel Akhmad} and Riyanarto Sarno and Aziz Fajar",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021 ; Conference date: 09-04-2021 Through 11-04-2021",

year = "2021",

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doi = "10.1109/EIConCIT50028.2021.9431894",

language = "English",

series = "3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021",

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

pages = "116--121",

editor = "Rayner Alfred and Haviluddin Haviluddin and Wibawa, {Aji Prasetya} and Joan Santoso and Fachrul Kurniawan and Hartarto Junaedi and Purnawansyah Purnawansyah and Endang Setyati and Saurik, {Herman Thuan To} and Setiawan, {Esther Irawati} and Setyaningsih, {Eka Rahayu} and Edwin Pramana and Yosi Kristian and Kelvin Kelvin and Purwanto, {Devi Dwi} and Eunike Kardinata and Prananda Anugrah",

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Susanto, EK, Junaidi, Hizham, FA, Sarno, R & Fajar, A 2021, Unsupervised Corpus Callosum Extraction for T2-FLAIR MRI Images. in R Alfred, H Haviluddin, AP Wibawa, J Santoso, F Kurniawan, H Junaedi, P Purnawansyah, E Setyati, HTT Saurik, EI Setiawan, ER Setyaningsih, E Pramana, Y Kristian, K Kelvin, DD Purwanto, E Kardinata & P Anugrah (eds), 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021., 9431894, 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021, Institute of Electrical and Electronics Engineers Inc., pp. 116-121, 3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021, Virtual, Surabaya, Indonesia, 9/04/21. https://doi.org/10.1109/EIConCIT50028.2021.9431894

Unsupervised Corpus Callosum Extraction for T2-FLAIR MRI Images. / Susanto, Evan Kusuma; Junaidi; Hizham, Fadhel Akhmad et al.
3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021. ed. / Rayner Alfred; Haviluddin Haviluddin; Aji Prasetya Wibawa; Joan Santoso; Fachrul Kurniawan; Hartarto Junaedi; Purnawansyah Purnawansyah; Endang Setyati; Herman Thuan To Saurik; Esther Irawati Setiawan; Eka Rahayu Setyaningsih; Edwin Pramana; Yosi Kristian; Kelvin Kelvin; Devi Dwi Purwanto; Eunike Kardinata; Prananda Anugrah. Institute of Electrical and Electronics Engineers Inc., 2021. p. 116-121 9431894 (3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021).

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

TY - GEN

T1 - Unsupervised Corpus Callosum Extraction for T2-FLAIR MRI Images

AU - Susanto, Evan Kusuma

AU - Junaidi,

AU - Hizham, Fadhel Akhmad

AU - Sarno, Riyanarto

AU - Fajar, Aziz

PY - 2021/4/9

Y1 - 2021/4/9

N2 - Many algorithms and methods have been published regarding Corpus Callosum extraction from MRI images. However, all of these approaches use T1-weighted images or existing human brain atlas as their basis. We propose a new algorithm that can work with T2-FLAIR image the basis of our method is from the observation that corpus callosum is located directly above a cavity inside the brain in almost every MRI images. We highlight the corpus callosum by first extracting the cavity inside the brain and then performing a morphological dilation upwards to get the rough location of the corpus callosum. Our evaluation shows that this method achieves an average of 76.90% in DSC when used to extract corpus callosum from 30 different images and 3 different subjects.

AB - Many algorithms and methods have been published regarding Corpus Callosum extraction from MRI images. However, all of these approaches use T1-weighted images or existing human brain atlas as their basis. We propose a new algorithm that can work with T2-FLAIR image the basis of our method is from the observation that corpus callosum is located directly above a cavity inside the brain in almost every MRI images. We highlight the corpus callosum by first extracting the cavity inside the brain and then performing a morphological dilation upwards to get the rough location of the corpus callosum. Our evaluation shows that this method achieves an average of 76.90% in DSC when used to extract corpus callosum from 30 different images and 3 different subjects.

KW - Brain

KW - Corpus callosum

KW - Image segmentation

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U2 - 10.1109/EIConCIT50028.2021.9431894

DO - 10.1109/EIConCIT50028.2021.9431894

M3 - Conference contribution

AN - SCOPUS:85107293256

T3 - 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021

SP - 116

EP - 121

BT - 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021

A2 - Alfred, Rayner

A2 - Haviluddin, Haviluddin

A2 - Wibawa, Aji Prasetya

A2 - Santoso, Joan

A2 - Kurniawan, Fachrul

A2 - Junaedi, Hartarto

A2 - Purnawansyah, Purnawansyah

A2 - Setyati, Endang

A2 - Saurik, Herman Thuan To

A2 - Setiawan, Esther Irawati

A2 - Setyaningsih, Eka Rahayu

A2 - Pramana, Edwin

A2 - Kristian, Yosi

A2 - Kelvin, Kelvin

A2 - Purwanto, Devi Dwi

A2 - Kardinata, Eunike

A2 - Anugrah, Prananda

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021

Y2 - 9 April 2021 through 11 April 2021

ER -

Susanto EK, Junaidi, Hizham FA, Sarno R, Fajar A. Unsupervised Corpus Callosum Extraction for T2-FLAIR MRI Images. In Alfred R, Haviluddin H, Wibawa AP, Santoso J, Kurniawan F, Junaedi H, Purnawansyah P, Setyati E, Saurik HTT, Setiawan EI, Setyaningsih ER, Pramana E, Kristian Y, Kelvin K, Purwanto DD, Kardinata E, Anugrah P, editors, 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 116-121. 9431894. (3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021). doi: 10.1109/EIConCIT50028.2021.9431894

Unsupervised Corpus Callosum Extraction for T2-FLAIR MRI Images

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Keywords

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