FCD detection and display based on combination of cortical thickness and PET image

Dongyue Si; Cuixia Feng; Maoyu Tian; Hulin Zhao; Junhai Wen

doi:10.1145/3357254.3358602

FCD detection and display based on combination of cortical thickness and PET image

Dongyue Si, Cuixia Feng, Maoyu Tian, Hulin Zhao, Junhai Wen^*

^*Corresponding author for this work

School of Life Science

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

Abstract

Focal cortical dysplasia (FCD) is one of the causes of drug refractory epilepsy. In clinical treatment, surgical excision is often used to remove the FCD lesion area. Therefore, it is very important to detect and locate the lesion area before operation. The Study showed an increase in the cortical thickness of FCD, and it is hypometabolic in the lesions with a lower value in PET images. In this work, this paper uses a voxel based Laplace method to calculate the cortical thickness, and combine the thickness image calculated with PET image to get a thickness-PET map in which the lesion area can be visualized more easily. It also developed a graphic user interface (GUI) to help doctors processing and displaying easier.

Original language	English
Title of host publication	2019 2nd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2019
Publisher	Association for Computing Machinery
Pages	6-9
Number of pages	4
ISBN (Electronic)	9781450372299
DOIs	https://doi.org/10.1145/3357254.3358602
Publication status	Published - 16 Aug 2019
Event	2nd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2019 - Beijing, China Duration: 16 Aug 2019 → 18 Aug 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2nd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2019
Country/Territory	China
City	Beijing
Period	16/08/19 → 18/08/19

Keywords

Detection
Display
Focal cortical dysplasia
MRI
PET

Access to Document

10.1145/3357254.3358602

Cite this

Si, D., Feng, C., Tian, M., Zhao, H., & Wen, J. (2019). FCD detection and display based on combination of cortical thickness and PET image. In 2019 2nd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2019 (pp. 6-9). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3357254.3358602

@inproceedings{390f248f2fc2440fb2901fb5698e8874,

title = "FCD detection and display based on combination of cortical thickness and PET image",

abstract = "Focal cortical dysplasia (FCD) is one of the causes of drug refractory epilepsy. In clinical treatment, surgical excision is often used to remove the FCD lesion area. Therefore, it is very important to detect and locate the lesion area before operation. The Study showed an increase in the cortical thickness of FCD, and it is hypometabolic in the lesions with a lower value in PET images. In this work, this paper uses a voxel based Laplace method to calculate the cortical thickness, and combine the thickness image calculated with PET image to get a thickness-PET map in which the lesion area can be visualized more easily. It also developed a graphic user interface (GUI) to help doctors processing and displaying easier.",

keywords = "Detection, Display, Focal cortical dysplasia, MRI, PET",

author = "Dongyue Si and Cuixia Feng and Maoyu Tian and Hulin Zhao and Junhai Wen",

note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 2nd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2019 ; Conference date: 16-08-2019 Through 18-08-2019",

year = "2019",

month = aug,

day = "16",

doi = "10.1145/3357254.3358602",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "6--9",

booktitle = "2019 2nd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2019",

}

Si, D, Feng, C, Tian, M, Zhao, H & Wen, J 2019, FCD detection and display based on combination of cortical thickness and PET image. in 2019 2nd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2019. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 6-9, 2nd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2019, Beijing, China, 16/08/19. https://doi.org/10.1145/3357254.3358602

FCD detection and display based on combination of cortical thickness and PET image. / Si, Dongyue; Feng, Cuixia; Tian, Maoyu et al.
2019 2nd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2019. Association for Computing Machinery, 2019. p. 6-9 (ACM International Conference Proceeding Series).

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

TY - GEN

T1 - FCD detection and display based on combination of cortical thickness and PET image

AU - Si, Dongyue

AU - Feng, Cuixia

AU - Tian, Maoyu

AU - Zhao, Hulin

AU - Wen, Junhai

PY - 2019/8/16

Y1 - 2019/8/16

N2 - Focal cortical dysplasia (FCD) is one of the causes of drug refractory epilepsy. In clinical treatment, surgical excision is often used to remove the FCD lesion area. Therefore, it is very important to detect and locate the lesion area before operation. The Study showed an increase in the cortical thickness of FCD, and it is hypometabolic in the lesions with a lower value in PET images. In this work, this paper uses a voxel based Laplace method to calculate the cortical thickness, and combine the thickness image calculated with PET image to get a thickness-PET map in which the lesion area can be visualized more easily. It also developed a graphic user interface (GUI) to help doctors processing and displaying easier.

AB - Focal cortical dysplasia (FCD) is one of the causes of drug refractory epilepsy. In clinical treatment, surgical excision is often used to remove the FCD lesion area. Therefore, it is very important to detect and locate the lesion area before operation. The Study showed an increase in the cortical thickness of FCD, and it is hypometabolic in the lesions with a lower value in PET images. In this work, this paper uses a voxel based Laplace method to calculate the cortical thickness, and combine the thickness image calculated with PET image to get a thickness-PET map in which the lesion area can be visualized more easily. It also developed a graphic user interface (GUI) to help doctors processing and displaying easier.

KW - Detection

KW - Display

KW - Focal cortical dysplasia

KW - MRI

KW - PET

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U2 - 10.1145/3357254.3358602

DO - 10.1145/3357254.3358602

M3 - Conference contribution

AN - SCOPUS:85076021974

T3 - ACM International Conference Proceeding Series

SP - 6

EP - 9

BT - 2019 2nd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2019

PB - Association for Computing Machinery

T2 - 2nd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2019

Y2 - 16 August 2019 through 18 August 2019

ER -

FCD detection and display based on combination of cortical thickness and PET image

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Keywords

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