Intravoxel Incoherent Motion Quantification Dependent on Measurement SNR and Tissue Perfusion: A Simulation Study
Background: The intravoxel incoherent motion (IVIM) model extracts both functional and structural information of a tissue using motion-sensitizing gradients.Objective: The Objective of the present work is to investigate the impact of signal to noise ratio (SNR) and physiologic conditions on the vali...
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Format: | Article |
Language: | English |
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Shiraz University of Medical Sciences
2023-12-01
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Series: | Journal of Biomedical Physics and Engineering |
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Online Access: | https://jbpe.sums.ac.ir/article_48504_6addc524d35cce49a83512062ba7443b.pdf |
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author | Sam Sharifzadeh Javidi Alireza Shirazinodeh Hamidreza Saligheh Rad |
author_facet | Sam Sharifzadeh Javidi Alireza Shirazinodeh Hamidreza Saligheh Rad |
author_sort | Sam Sharifzadeh Javidi |
collection | DOAJ |
description | Background: The intravoxel incoherent motion (IVIM) model extracts both functional and structural information of a tissue using motion-sensitizing gradients.Objective: The Objective of the present work is to investigate the impact of signal to noise ratio (SNR) and physiologic conditions on the validity of IVIM parameters.Material and Methods: This study is a simulation study, modeling IVIM at a voxel, and also done 10,000 times for every single simulation. Complex noises with various standard deviations were added to signal in-silico to investigate SNR effects on output validity. Besides, some blood perfusion situations for different tissues were considered based on their physiological range to explore the impacts of blood fraction at each voxel on the validity of the IVIM outputs. Coefficient variation (CV) and bias of the estimations were computed to assess the validity of the IVIM parameters.Results: This study has shown that the validity of IVIM output parameters highly depends on measurement SNR and physiologic characteristics of the studied organ. Conclusion: IVIM imaging could be useful if imaging parameters are correctly selected for each specific organ, considering hardware limitations. |
first_indexed | 2024-03-09T01:09:01Z |
format | Article |
id | doaj.art-da6080c53cca42759b79dbdcb614d735 |
institution | Directory Open Access Journal |
issn | 2251-7200 |
language | English |
last_indexed | 2024-03-09T01:09:01Z |
publishDate | 2023-12-01 |
publisher | Shiraz University of Medical Sciences |
record_format | Article |
series | Journal of Biomedical Physics and Engineering |
spelling | doaj.art-da6080c53cca42759b79dbdcb614d7352023-12-11T08:13:27ZengShiraz University of Medical SciencesJournal of Biomedical Physics and Engineering2251-72002023-12-0113655556210.31661/jbpe.v0i0.2102-128148504Intravoxel Incoherent Motion Quantification Dependent on Measurement SNR and Tissue Perfusion: A Simulation StudySam Sharifzadeh Javidi0Alireza Shirazinodeh1Hamidreza Saligheh Rad2Department of Medical Physics and Biomedical Engineering, Medicine School, Tehran University of Medical Sciences, Tehran, IranDepartment of Medical Physics and Biomedical Engineering, Medicine School, Tehran University of Medical Sciences, Tehran, IranDepartment of Medical Physics and Biomedical Engineering, Medicine School, Tehran University of Medical Sciences, Tehran, IranBackground: The intravoxel incoherent motion (IVIM) model extracts both functional and structural information of a tissue using motion-sensitizing gradients.Objective: The Objective of the present work is to investigate the impact of signal to noise ratio (SNR) and physiologic conditions on the validity of IVIM parameters.Material and Methods: This study is a simulation study, modeling IVIM at a voxel, and also done 10,000 times for every single simulation. Complex noises with various standard deviations were added to signal in-silico to investigate SNR effects on output validity. Besides, some blood perfusion situations for different tissues were considered based on their physiological range to explore the impacts of blood fraction at each voxel on the validity of the IVIM outputs. Coefficient variation (CV) and bias of the estimations were computed to assess the validity of the IVIM parameters.Results: This study has shown that the validity of IVIM output parameters highly depends on measurement SNR and physiologic characteristics of the studied organ. Conclusion: IVIM imaging could be useful if imaging parameters are correctly selected for each specific organ, considering hardware limitations.https://jbpe.sums.ac.ir/article_48504_6addc524d35cce49a83512062ba7443b.pdfreproducibility of resultsdiffusion-weighted imagingperfusion imagingintravoxel incoherent motionsnrmagnetic resonance imaging |
spellingShingle | Sam Sharifzadeh Javidi Alireza Shirazinodeh Hamidreza Saligheh Rad Intravoxel Incoherent Motion Quantification Dependent on Measurement SNR and Tissue Perfusion: A Simulation Study Journal of Biomedical Physics and Engineering reproducibility of results diffusion-weighted imaging perfusion imaging intravoxel incoherent motion snr magnetic resonance imaging |
title | Intravoxel Incoherent Motion Quantification Dependent on Measurement SNR and Tissue Perfusion: A Simulation Study |
title_full | Intravoxel Incoherent Motion Quantification Dependent on Measurement SNR and Tissue Perfusion: A Simulation Study |
title_fullStr | Intravoxel Incoherent Motion Quantification Dependent on Measurement SNR and Tissue Perfusion: A Simulation Study |
title_full_unstemmed | Intravoxel Incoherent Motion Quantification Dependent on Measurement SNR and Tissue Perfusion: A Simulation Study |
title_short | Intravoxel Incoherent Motion Quantification Dependent on Measurement SNR and Tissue Perfusion: A Simulation Study |
title_sort | intravoxel incoherent motion quantification dependent on measurement snr and tissue perfusion a simulation study |
topic | reproducibility of results diffusion-weighted imaging perfusion imaging intravoxel incoherent motion snr magnetic resonance imaging |
url | https://jbpe.sums.ac.ir/article_48504_6addc524d35cce49a83512062ba7443b.pdf |
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