Quantitative MRI post-processing algorithm and visualization research based on moisture status detection of winter jujube-Reference-Cited by-同舟云学术

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Quantitative MRI post-processing algorithm and visualization research based on moisture status detection of winter jujube

Published:2024-08 Issue:16 Volume:10 Page:e36376
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Li Yanan,Wang Yijin,Teng Guifa^ORCID,Yao Jingfa,Luan Peng

Funder

Curtin Health Innovation Research Institute, Curtin University

National Aerospace Science Foundation of China

Yunnan Provincial Department of Education Science Research Fund Project

Special Project for Research and Development in Key areas of Guangdong Province

Publisher

Elsevier BV

Reference49 articles.

1. Multi-exponential mri t2 maps: a tool to classify and characterize fruit tissues;Collewet;Magn. Reson. Imag.,2022

2. An integrated magnetic resonance plant imager for mobile use in greenhouse and field;Meixner;J. Magn. Reson.,2021

3. Changes of moisture distribution and migration in fresh ear corn during storage;Hao;J. Integr. Agric.,2019

4. Design and demonstration of a low-field magnetic resonance imaging rhizotron for in-field imaging of energy sorghum roots;Bagnall;The Plant Phenome Journal,2022

5. Mse-mri sequence optimisation for measurement of bi-and tri-exponential t2 relaxation in a phantom and fruit;Adriaensen;Magn. Reson. Imag.,2013

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