Quantification of Multi-Compartment Flow with Spectral Diffusion MRI
Purpose: Estimation of multi-compartment intravoxel flow in fD in ml/100g/min with multi-b-value diffusion weighted imaging and a multi-Gaussian model in the kidneys. Theory and Methods: A multi-Gaussian model of intravoxel flow using water transport time to quantify fD is presented and simulated. M...
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| creator | Liu, Mira M Dyke, Jonathan Gladytz, Thomas Jasse, Jonas Bolger, Ian Calle, Sergio Pavaluri, Swathi Crews, Tanner Seshan, Surya Salvatore, Steven Stillman, Isaac Muthukumar, Thangamani Taouli, Bachir Farouk, Samira Lewis, Sara Bane, Octavia |
| description | Purpose: Estimation of multi-compartment intravoxel flow in fD in ml/100g/min with multi-b-value diffusion weighted imaging and a multi-Gaussian model in the kidneys. Theory and Methods: A multi-Gaussian model of intravoxel flow using water transport time to quantify fD is presented and simulated. Multi-compartment anisotropic DWI signal is simulated analyzed with (1) a rigid bi-exponential, (2) a rigid tri-exponential, and (3) diffusion spectrum imaging model of intravoxel incoherent motion (spectral diffusion). The application is demonstrated in a two-center study of 54 kidney allografts with 9 b-value advanced DWI that were split by function (CKD-EPI 2021 eGFR |
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| fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_3092951730</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3092951730</sourcerecordid><originalsourceid>FETCH-proquest_journals_30929517303</originalsourceid><addsrcrecordid>eNqNi0ELgjAYQEcQJOV_GHQW5tYyz5rUwUPlXYZsNJmbbd_w71fQD-j0Du-9FUooY3l2OlC6QWkIIyGEHgvKOUtQfYvCglZ6EKCdxU7hNhrQWeWmWXiYpAXcGLfgRcMTP2Y5gBcG11qpGL5He7_u0FoJE2T64xbtm3NXXbLZu1eUAfrRRW8_qmekpCXPC0bYf9UbQcg6bg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3092951730</pqid></control><display><type>article</type><title>Quantification of Multi-Compartment Flow with Spectral Diffusion MRI</title><source>Free E- Journals</source><creator>Liu, Mira M ; Dyke, Jonathan ; Gladytz, Thomas ; Jasse, Jonas ; Bolger, Ian ; Calle, Sergio ; Pavaluri, Swathi ; Crews, Tanner ; Seshan, Surya ; Salvatore, Steven ; Stillman, Isaac ; Muthukumar, Thangamani ; Taouli, Bachir ; Farouk, Samira ; Lewis, Sara ; Bane, Octavia</creator><creatorcontrib>Liu, Mira M ; Dyke, Jonathan ; Gladytz, Thomas ; Jasse, Jonas ; Bolger, Ian ; Calle, Sergio ; Pavaluri, Swathi ; Crews, Tanner ; Seshan, Surya ; Salvatore, Steven ; Stillman, Isaac ; Muthukumar, Thangamani ; Taouli, Bachir ; Farouk, Samira ; Lewis, Sara ; Bane, Octavia</creatorcontrib><description>Purpose: Estimation of multi-compartment intravoxel flow in fD in ml/100g/min with multi-b-value diffusion weighted imaging and a multi-Gaussian model in the kidneys. Theory and Methods: A multi-Gaussian model of intravoxel flow using water transport time to quantify fD is presented and simulated. Multi-compartment anisotropic DWI signal is simulated analyzed with (1) a rigid bi-exponential, (2) a rigid tri-exponential, and (3) diffusion spectrum imaging model of intravoxel incoherent motion (spectral diffusion). The application is demonstrated in a two-center study of 54 kidney allografts with 9 b-value advanced DWI that were split by function (CKD-EPI 2021 eGFR<45ml/min/1.73m2) and fibrosis (Banff 2017 interstitial fibrosis and tubular atrophy score 0-6). Results: Spectral diffusion demonstrated strong correlation to truth for simulated three-compartment anisotropic diffusion (y=1.08x+0.1, R2=0.71) and two-compartment anisotropic diffusion (y=0.91x+0.6, R2=0.74), outperforming rigid models in cases of variable compartment number. Use of a fixed regularization parameter set to {\lambda}=0.1 increased computation up to 208-fold and agreed with voxel-wise cross-validated regularization (concordance correlation coefficient=0.99). Spectral diffusion of renal allografts showed significant increase in tissue parenchyma compartment fD (f-stat=3.86, p=0.02). Tubular fD was significantly decreased in allografts with impaired function (Mann-Whitney Utest t-stat=-2.14, p=0.04). Conclusions: Quantitative multi-compartment intravoxel flow can be estimated in ml/100g/min with fD from multi-Gaussian diffusion, even with moderate anisotropy such as in kidneys. The use of spectral diffusion with a multi-Gaussian model and a fixed regularization parameter shows promise in organs such as the kidney with variable numbers of physiologic compartments.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Anisotropy ; Atrophy ; Correlation coefficients ; Fibrosis ; Kidneys ; Medical imaging ; Parameters ; Regularization</subject><ispartof>arXiv.org, 2024-08</ispartof><rights>2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,784</link.rule.ids></links><search><creatorcontrib>Liu, Mira M</creatorcontrib><creatorcontrib>Dyke, Jonathan</creatorcontrib><creatorcontrib>Gladytz, Thomas</creatorcontrib><creatorcontrib>Jasse, Jonas</creatorcontrib><creatorcontrib>Bolger, Ian</creatorcontrib><creatorcontrib>Calle, Sergio</creatorcontrib><creatorcontrib>Pavaluri, Swathi</creatorcontrib><creatorcontrib>Crews, Tanner</creatorcontrib><creatorcontrib>Seshan, Surya</creatorcontrib><creatorcontrib>Salvatore, Steven</creatorcontrib><creatorcontrib>Stillman, Isaac</creatorcontrib><creatorcontrib>Muthukumar, Thangamani</creatorcontrib><creatorcontrib>Taouli, Bachir</creatorcontrib><creatorcontrib>Farouk, Samira</creatorcontrib><creatorcontrib>Lewis, Sara</creatorcontrib><creatorcontrib>Bane, Octavia</creatorcontrib><title>Quantification of Multi-Compartment Flow with Spectral Diffusion MRI</title><title>arXiv.org</title><description>Purpose: Estimation of multi-compartment intravoxel flow in fD in ml/100g/min with multi-b-value diffusion weighted imaging and a multi-Gaussian model in the kidneys. Theory and Methods: A multi-Gaussian model of intravoxel flow using water transport time to quantify fD is presented and simulated. Multi-compartment anisotropic DWI signal is simulated analyzed with (1) a rigid bi-exponential, (2) a rigid tri-exponential, and (3) diffusion spectrum imaging model of intravoxel incoherent motion (spectral diffusion). The application is demonstrated in a two-center study of 54 kidney allografts with 9 b-value advanced DWI that were split by function (CKD-EPI 2021 eGFR<45ml/min/1.73m2) and fibrosis (Banff 2017 interstitial fibrosis and tubular atrophy score 0-6). Results: Spectral diffusion demonstrated strong correlation to truth for simulated three-compartment anisotropic diffusion (y=1.08x+0.1, R2=0.71) and two-compartment anisotropic diffusion (y=0.91x+0.6, R2=0.74), outperforming rigid models in cases of variable compartment number. Use of a fixed regularization parameter set to {\lambda}=0.1 increased computation up to 208-fold and agreed with voxel-wise cross-validated regularization (concordance correlation coefficient=0.99). Spectral diffusion of renal allografts showed significant increase in tissue parenchyma compartment fD (f-stat=3.86, p=0.02). Tubular fD was significantly decreased in allografts with impaired function (Mann-Whitney Utest t-stat=-2.14, p=0.04). Conclusions: Quantitative multi-compartment intravoxel flow can be estimated in ml/100g/min with fD from multi-Gaussian diffusion, even with moderate anisotropy such as in kidneys. The use of spectral diffusion with a multi-Gaussian model and a fixed regularization parameter shows promise in organs such as the kidney with variable numbers of physiologic compartments.</description><subject>Anisotropy</subject><subject>Atrophy</subject><subject>Correlation coefficients</subject><subject>Fibrosis</subject><subject>Kidneys</subject><subject>Medical imaging</subject><subject>Parameters</subject><subject>Regularization</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNi0ELgjAYQEcQJOV_GHQW5tYyz5rUwUPlXYZsNJmbbd_w71fQD-j0Du-9FUooY3l2OlC6QWkIIyGEHgvKOUtQfYvCglZ6EKCdxU7hNhrQWeWmWXiYpAXcGLfgRcMTP2Y5gBcG11qpGL5He7_u0FoJE2T64xbtm3NXXbLZu1eUAfrRRW8_qmekpCXPC0bYf9UbQcg6bg</recordid><startdate>20240812</startdate><enddate>20240812</enddate><creator>Liu, Mira M</creator><creator>Dyke, Jonathan</creator><creator>Gladytz, Thomas</creator><creator>Jasse, Jonas</creator><creator>Bolger, Ian</creator><creator>Calle, Sergio</creator><creator>Pavaluri, Swathi</creator><creator>Crews, Tanner</creator><creator>Seshan, Surya</creator><creator>Salvatore, Steven</creator><creator>Stillman, Isaac</creator><creator>Muthukumar, Thangamani</creator><creator>Taouli, Bachir</creator><creator>Farouk, Samira</creator><creator>Lewis, Sara</creator><creator>Bane, Octavia</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20240812</creationdate><title>Quantification of Multi-Compartment Flow with Spectral Diffusion MRI</title><author>Liu, Mira M ; Dyke, Jonathan ; Gladytz, Thomas ; Jasse, Jonas ; Bolger, Ian ; Calle, Sergio ; Pavaluri, Swathi ; Crews, Tanner ; Seshan, Surya ; Salvatore, Steven ; Stillman, Isaac ; Muthukumar, Thangamani ; Taouli, Bachir ; Farouk, Samira ; Lewis, Sara ; Bane, Octavia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_30929517303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Anisotropy</topic><topic>Atrophy</topic><topic>Correlation coefficients</topic><topic>Fibrosis</topic><topic>Kidneys</topic><topic>Medical imaging</topic><topic>Parameters</topic><topic>Regularization</topic><toplevel>online_resources</toplevel><creatorcontrib>Liu, Mira M</creatorcontrib><creatorcontrib>Dyke, Jonathan</creatorcontrib><creatorcontrib>Gladytz, Thomas</creatorcontrib><creatorcontrib>Jasse, Jonas</creatorcontrib><creatorcontrib>Bolger, Ian</creatorcontrib><creatorcontrib>Calle, Sergio</creatorcontrib><creatorcontrib>Pavaluri, Swathi</creatorcontrib><creatorcontrib>Crews, Tanner</creatorcontrib><creatorcontrib>Seshan, Surya</creatorcontrib><creatorcontrib>Salvatore, Steven</creatorcontrib><creatorcontrib>Stillman, Isaac</creatorcontrib><creatorcontrib>Muthukumar, Thangamani</creatorcontrib><creatorcontrib>Taouli, Bachir</creatorcontrib><creatorcontrib>Farouk, Samira</creatorcontrib><creatorcontrib>Lewis, Sara</creatorcontrib><creatorcontrib>Bane, Octavia</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Mira M</au><au>Dyke, Jonathan</au><au>Gladytz, Thomas</au><au>Jasse, Jonas</au><au>Bolger, Ian</au><au>Calle, Sergio</au><au>Pavaluri, Swathi</au><au>Crews, Tanner</au><au>Seshan, Surya</au><au>Salvatore, Steven</au><au>Stillman, Isaac</au><au>Muthukumar, Thangamani</au><au>Taouli, Bachir</au><au>Farouk, Samira</au><au>Lewis, Sara</au><au>Bane, Octavia</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Quantification of Multi-Compartment Flow with Spectral Diffusion MRI</atitle><jtitle>arXiv.org</jtitle><date>2024-08-12</date><risdate>2024</risdate><eissn>2331-8422</eissn><abstract>Purpose: Estimation of multi-compartment intravoxel flow in fD in ml/100g/min with multi-b-value diffusion weighted imaging and a multi-Gaussian model in the kidneys. Theory and Methods: A multi-Gaussian model of intravoxel flow using water transport time to quantify fD is presented and simulated. Multi-compartment anisotropic DWI signal is simulated analyzed with (1) a rigid bi-exponential, (2) a rigid tri-exponential, and (3) diffusion spectrum imaging model of intravoxel incoherent motion (spectral diffusion). The application is demonstrated in a two-center study of 54 kidney allografts with 9 b-value advanced DWI that were split by function (CKD-EPI 2021 eGFR<45ml/min/1.73m2) and fibrosis (Banff 2017 interstitial fibrosis and tubular atrophy score 0-6). Results: Spectral diffusion demonstrated strong correlation to truth for simulated three-compartment anisotropic diffusion (y=1.08x+0.1, R2=0.71) and two-compartment anisotropic diffusion (y=0.91x+0.6, R2=0.74), outperforming rigid models in cases of variable compartment number. Use of a fixed regularization parameter set to {\lambda}=0.1 increased computation up to 208-fold and agreed with voxel-wise cross-validated regularization (concordance correlation coefficient=0.99). Spectral diffusion of renal allografts showed significant increase in tissue parenchyma compartment fD (f-stat=3.86, p=0.02). Tubular fD was significantly decreased in allografts with impaired function (Mann-Whitney Utest t-stat=-2.14, p=0.04). Conclusions: Quantitative multi-compartment intravoxel flow can be estimated in ml/100g/min with fD from multi-Gaussian diffusion, even with moderate anisotropy such as in kidneys. The use of spectral diffusion with a multi-Gaussian model and a fixed regularization parameter shows promise in organs such as the kidney with variable numbers of physiologic compartments.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record> |
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| subjects | Anisotropy Atrophy Correlation coefficients Fibrosis Kidneys Medical imaging Parameters Regularization |
| title | Quantification of Multi-Compartment Flow with Spectral Diffusion MRI |
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