Comparison of different Magnetic Resonance Imaging (MRI) protocols from Quince fruit

Document Type : Research Paper

Authors

1 M.SC. Student of Department of Bio-System Mechanical Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

2 Assistant Professor of Department of Bio-System Mechanical Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.

3 Associate Professor of Department of Bio-System Mechanical Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.

4 Associate Professor of Department of Horticulture, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

Abstract

The Magnetic Resonance Imaging is one of the non-destructive methods to study quality indices and fruit maturity, that uses different protocols to show the density and structure in which the hydrogen atoms is placed. In this research the MR images of intact, bruised and infested tissues, and seeds of none-infested and infested quince fruits by different MRI protocols were compared and the best protocol was introduced. So by using two T1 and T2 protocols, MR imaging was carried out from 18 loaded quince fruits. The quasi-static loading was performed at three levels of 300, 500 and 700 Newton. Then the fruits were stored for 30 and 50 days in a 4°C refrigerator. Imaging was carried out after each storage period. The ImageJ software was used to determine the contrast of T1 and T2 imaging protocols of the intact and bruised tissues and seeds of none-infested, infested and loaded fruit samples. The comparison of these images was concluded that the seeds and the intact area of none-infested Quince fruit in T1 images were sharper than T2 images. Also, the loaded area bruising of none-infested fruits in the T2 images was more recognizable than T1 images.

Keywords

References

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Iranian Journal of Biosystems Engineering
Volume 51, Issue 3
December 2020
Pages 539-549

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History

  • Receive Date: 27 November 2019
  • Revise Date: 06 January 2020
  • Accept Date: 12 January 2020

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