Quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging

Freezing of fish is an important processing method that can extend the shelf life of the product but can also lead to significant damage to the tissue if performed incorrectly. In order to thoroughly evaluate different freezing protocols, a method to characterize the extent and distribution of damag...

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Published in:Food Control
Main Authors: Anderssen, Kathryn Elizabeth, Syed, Shaheen, Stormo, Svein Kristian
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2021
Subjects:
Online Access:https://hdl.handle.net/10037/24402
https://doi.org/10.1016/j.foodcont.2020.107734
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/24402 2023-05-15T16:19:12+02:00 Quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging Anderssen, Kathryn Elizabeth Syed, Shaheen Stormo, Svein Kristian 2021-02-01 https://hdl.handle.net/10037/24402 https://doi.org/10.1016/j.foodcont.2020.107734 eng eng Elsevier Food Control Nofima AS: 11878 Norges forskningsråd: 194050 Norges forskningsråd: 294805 Anderssen KAWA, Syed S, Stormo. Quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging. Food Control. 2021;123 FRIDAID 1858454 doi:10.1016/j.foodcont.2020.107734 0956-7135 1873-7129 https://hdl.handle.net/10037/24402 openAccess Copyright 2021 The Author(s) Journal article Tidsskriftartikkel Peer reviewed acceptedVersion 2021 ftunivtroemsoe https://doi.org/10.1016/j.foodcont.2020.107734 2022-03-16T23:58:04Z Freezing of fish is an important processing method that can extend the shelf life of the product but can also lead to significant damage to the tissue if performed incorrectly. In order to thoroughly evaluate different freezing protocols, a method to characterize the extent and distribution of damage from freezing is needed. Magnetic resonance imaging (MRI) was tested as a technique to map and quantify tissue damage from freezing in fish. Groups of packaged cod ( Gadus morhua ) loin were frozen to either −5, −20, or −40 °C, thawed and then imaged with a T 2 -weighted MRI sequence. Areas of damage appear as bright clusters in the muscle tissue. To provide repeatable, objective classification, image analysis using a convolutional neural network was then performed on the MRI data to identify regions of damaged tissue. As expected, the colder the freezing procedure, the less damage the process generally produced. Results show non-uniform damage throughout the fillet, with tissue damage due to freezing concentrated in the center of the fillet. This suggests that surface limited methods, such as hyperspectral imaging, may not fully capture the extent of damage due to freezing and thawing. The percent of tissue classified as damaged by the neural network generally correlated well with liquid loss (cor = 0.83). Article in Journal/Newspaper Gadus morhua University of Tromsø: Munin Open Research Archive Food Control 123 107734
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
description Freezing of fish is an important processing method that can extend the shelf life of the product but can also lead to significant damage to the tissue if performed incorrectly. In order to thoroughly evaluate different freezing protocols, a method to characterize the extent and distribution of damage from freezing is needed. Magnetic resonance imaging (MRI) was tested as a technique to map and quantify tissue damage from freezing in fish. Groups of packaged cod ( Gadus morhua ) loin were frozen to either −5, −20, or −40 °C, thawed and then imaged with a T 2 -weighted MRI sequence. Areas of damage appear as bright clusters in the muscle tissue. To provide repeatable, objective classification, image analysis using a convolutional neural network was then performed on the MRI data to identify regions of damaged tissue. As expected, the colder the freezing procedure, the less damage the process generally produced. Results show non-uniform damage throughout the fillet, with tissue damage due to freezing concentrated in the center of the fillet. This suggests that surface limited methods, such as hyperspectral imaging, may not fully capture the extent of damage due to freezing and thawing. The percent of tissue classified as damaged by the neural network generally correlated well with liquid loss (cor = 0.83).
format Article in Journal/Newspaper
author Anderssen, Kathryn Elizabeth
Syed, Shaheen
Stormo, Svein Kristian
spellingShingle Anderssen, Kathryn Elizabeth
Syed, Shaheen
Stormo, Svein Kristian
Quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging
author_facet Anderssen, Kathryn Elizabeth
Syed, Shaheen
Stormo, Svein Kristian
author_sort Anderssen, Kathryn Elizabeth
title Quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging
title_short Quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging
title_full Quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging
title_fullStr Quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging
title_full_unstemmed Quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging
title_sort quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging
publisher Elsevier
publishDate 2021
url https://hdl.handle.net/10037/24402
https://doi.org/10.1016/j.foodcont.2020.107734
genre Gadus morhua
genre_facet Gadus morhua
op_relation Food Control
Nofima AS: 11878
Norges forskningsråd: 194050
Norges forskningsråd: 294805
Anderssen KAWA, Syed S, Stormo. Quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging. Food Control. 2021;123
FRIDAID 1858454
doi:10.1016/j.foodcont.2020.107734
0956-7135
1873-7129
https://hdl.handle.net/10037/24402
op_rights openAccess
Copyright 2021 The Author(s)
op_doi https://doi.org/10.1016/j.foodcont.2020.107734
container_title Food Control
container_volume 123
container_start_page 107734
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