Real-time volumetric MR thermometry using 3D echo-shifted sequence under an open source reconstruction platform.


Journal

Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883

Informations de publication

Date de publication:
07 2020
Historique:
received: 26 10 2019
revised: 02 04 2020
accepted: 03 04 2020
pubmed: 8 4 2020
medline: 1 12 2020
entrez: 8 4 2020
Statut: ppublish

Résumé

The aim of this work is to implement real-time 3D MR thermometry for high intensity focused ultrasound (HIFU) monitoring. Volumetric MR thermometry was implemented based on a 3D echo-shifted sequence with short TR to improve temperature sensitivity. The 3D acquisition was accelerated in two phase encoding directions with controlled aliasing in volumetric parallel imaging (CAIPIRINHA). Image reconstruction was run in an open source reconstruction platform (Gadgetron). Phantom experiments showed the proposed volumetric thermometry was comparable to the fiber optical thermometer. In-vivo animal experiments in rabbit thigh showed that the temperature error before and after 4× acceleration was less than 0.65 °C. Finally, real-time 3D thermometry with temporal resolution ~3 s and spatial resolution 2 × 2 × 5 mm Real-time temperature monitoring was achieved in-vivo by using parallel imaging accelerated 3D echo-shifted sequence with Gadgetron reconstruction.

Identifiants

pubmed: 32259587
pii: S0730-725X(19)30660-5
doi: 10.1016/j.mri.2020.04.001
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

22-28

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Rui Jiang (R)

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, No. 1068 Xueyuan Avenue, Shenzhen 518055, Guangdong, People's Republic of China; University of Chinese Academy of Sciences, No. 19(A) Yuquan Road, Beijing 100049, People's Republic of China.

Sen Jia (S)

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, No. 1068 Xueyuan Avenue, Shenzhen 518055, Guangdong, People's Republic of China; University of Chinese Academy of Sciences, No. 19(A) Yuquan Road, Beijing 100049, People's Republic of China.

Yangzi Qiao (Y)

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, No. 1068 Xueyuan Avenue, Shenzhen 518055, Guangdong, People's Republic of China.

Qiaoyan Chen (Q)

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, No. 1068 Xueyuan Avenue, Shenzhen 518055, Guangdong, People's Republic of China.

Jianhong Wen (J)

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, No. 1068 Xueyuan Avenue, Shenzhen 518055, Guangdong, People's Republic of China.

Dong Liang (D)

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, No. 1068 Xueyuan Avenue, Shenzhen 518055, Guangdong, People's Republic of China.

Xin Liu (X)

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, No. 1068 Xueyuan Avenue, Shenzhen 518055, Guangdong, People's Republic of China; University of Chinese Academy of Sciences, No. 19(A) Yuquan Road, Beijing 100049, People's Republic of China.

Hairong Zheng (H)

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, No. 1068 Xueyuan Avenue, Shenzhen 518055, Guangdong, People's Republic of China.

Chao Zou (C)

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, No. 1068 Xueyuan Avenue, Shenzhen 518055, Guangdong, People's Republic of China; University of Chinese Academy of Sciences, No. 19(A) Yuquan Road, Beijing 100049, People's Republic of China. Electronic address: chao.zou@siat.ac.cn.

Articles similaires

Humans Ketamine Propofol Pulmonary Atelectasis Female
Humans Students, Medical Robotic Surgical Procedures Feasibility Studies Female
Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell

Classifications MeSH