Paper Abstract and Keywords |
Presentation |
2021-03-15 15:45
Feasibility study of automatic extraction method of coronary artery stationary period using CNN
-- Comparison between 1.5T and 3.0T -- Remina Kasai, Yuta Endo, Haruna Shibou, Makoto Amanuma, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.) MI2020-61 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Magnetic resonance coronary angiography (MRCA) requires data acquisition during the stationary period of the coronary arteries. Therefore, accurate detection of this period is important. However, it is currently time-consuming and operator-dependent, because it is visually determined from Cine images. To automatically extract the stationary period, a template-matching method has been developed for tracking the coronary artery position. However, owing to changes in the shape of the coronary arteries during the cardiac phase, it is difficult to detect the position of each coronary artery using a single template. We developed an automatic method to detect the stationary period of coronary arteries using a convolutional neural network (CNN) and investigated its feasibility at 1.5T and 3.0T. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
CNN / MRI / Coronary Artery / Machine Learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 431, MI2020-61, pp. 66-70, March 2021. |
Paper # |
MI2020-61 |
Date of Issue |
2021-03-08 (MI) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
MI2020-61 |
Conference Information |
Committee |
MI |
Conference Date |
2021-03-15 - 2021-03-17 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Medical Imaging |
Paper Information |
Registration To |
MI |
Conference Code |
2021-03-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Feasibility study of automatic extraction method of coronary artery stationary period using CNN |
Sub Title (in English) |
Comparison between 1.5T and 3.0T |
Keyword(1) |
CNN |
Keyword(2) |
MRI |
Keyword(3) |
Coronary Artery |
Keyword(4) |
Machine Learning |
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Remina Kasai |
1st Author's Affiliation |
Kyorin University (Kyorin Univ.) |
2nd Author's Name |
Yuta Endo |
2nd Author's Affiliation |
Kyorin University (Kyorin Univ.) |
3rd Author's Name |
Haruna Shibou |
3rd Author's Affiliation |
Kyorin University (Kyorin Univ.) |
4th Author's Name |
Makoto Amanuma |
4th Author's Affiliation |
Kyorin University (Kyorin Univ.) |
5th Author's Name |
Kuninori Kobayashi |
5th Author's Affiliation |
Kyorin University (Kyorin Univ.) |
6th Author's Name |
Shigehide Kuhara |
6th Author's Affiliation |
Kyorin University (Kyorin Univ.) |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2021-03-15 15:45:00 |
Presentation Time |
15 minutes |
Registration for |
MI |
Paper # |
MI2020-61 |
Volume (vol) |
vol.120 |
Number (no) |
no.431 |
Page |
pp.66-70 |
#Pages |
5 |
Date of Issue |
2021-03-08 (MI) |