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Paper Abstract and Keywords
Presentation 2025-03-19 16:45
A study on MRI fast T1 mapping using MP2RAGE -- Comparison between signal intensity function and deep learning methods --
Riko Naito, Yuta Endo, Sanae Takahashi, Haruna Shibo, Takeyuki Hashimoto, Shigehide Kuhara (Kyorin Univ.) MI2024-62
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, methods for quantitatively determining tissue-specific parameters, such as T1 and T2 using magnetic resonance imaging (MRI), have attracted attention. The magnetization-prepared rapid acquisition with gradient echo (MPRAGE) method is available as a high-resolution three-dimensional fast imaging technique for the head, whereas the MP2RAGE method has two MPRAGE data collection sections after applying a single inversion pulse based on T1 mapping methods. Here, we compared the signal intensity function method derived from the Bloch equations to determine the T1 values from the signal values of the MP2RAGE method using a deep learning approach. The MP2RAGE method was constructed and examined using a Bloch Solver MRI simulator. The deep learning approach showed improved accuracy compared to the signal intensity function method.
Keyword (in Japanese) (See Japanese page) 
(in English) MRI / Bloch Simulator / MP2RAGE / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 448, MI2024-62, pp. 60-63, March 2025.
Paper # MI2024-62 
Date of Issue 2025-03-12 (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 MI2024-62

Conference Information
Committee MI  
Conference Date 2025-03-19 - 2025-03-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagawa International Conference Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging, etc. 
Paper Information
Registration To MI 
Conference Code 2025-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on MRI fast T1 mapping using MP2RAGE 
Sub Title (in English) Comparison between signal intensity function and deep learning methods 
Keyword(1) MRI  
Keyword(2) Bloch Simulator  
Keyword(3) MP2RAGE  
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1st Author's Name Riko Naito  
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 Sanae Takahashi  
3rd Author's Affiliation Kyorin University (Kyorin Univ.)
4th Author's Name Haruna Shibo  
4th Author's Affiliation Kyorin University (Kyorin Univ.)
5th Author's Name Takeyuki Hashimoto  
5th Author's Affiliation Kyorin University (Kyorin Univ.)
6th Author's Name Shigehide Kuhara  
6th Author's Affiliation Kyorin University (Kyorin Univ.)
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Speaker Author-1 
Date Time 2025-03-19 16:45:00 
Presentation Time 75 minutes 
Registration for MI 
Paper # MI2024-62 
Volume (vol) vol.124 
Number (no) no.448 
Page pp.60-63 
#Pages 4 
Date of Issue 2025-03-12 (MI) 

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