A novel CT-FFR method for the coronary artery based on 4D-CT image analysis and structural and fluid analysis

Kenji Hirohata, A. Kano, A. Goryu, J. Ooga, T. Hongo, S. Higashi, Yasuko Fujisawa, S. Wakai, K. Arakita, Yoshihisa Ikeda, S. Kaminaga, B. S. Ko, S. K. Seneviratne

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

Abstract

Non invasive fractional flow reserve derived from CT coronary angiography (CT-FFR) has to date been typically performed using the principles of fluid analysis in which a lumped parameter coronary vascular bed model is assigned to represent the impedance of the downstream coronary vascular networks absent in the computational domain for each coronary outlet. This approach may have a number of limitations. It may not account for the impact of the myocardial contraction and relaxation during the cardiac cycle, patient-specific boundary conditions for coronary artery outlets and vessel stiffness. We have developed a novel approach based on 4D-CT image tracking (registration) and structural and fluid analysis, to address these issues. In our approach, we analyzed the deformation variation of vessels and the volume variation of vessels, primarily from 70% to 100% of cardiac phase, to better define boundary conditions and stiffness of vessels. We used a statistical estimation method based on a hierarchical Bayes model to integrate 4D-CT measurements and structural and fluid analysis data. Under these analysis conditions, we performed structural and fluid analysis to determine pressure, flow rate and CT-FFR. The consistency of this method has been verified by a comparison of 4D-CTFFR analysis results derived from five clinical 4D-CT datasets with invasive measurements of FFR. Additionally, phantom experiments of flexible tubes with/without stenosis using pulsating pumps, flow sensors and pressure sensors were performed. Our results show that the proposed 4D-CT-FFR analysis method has the potential to accurately estimate the effect of coronary artery stenosis on blood flow.

Original languageEnglish
Title of host publicationMedical Imaging 2015: Physics of Medical Imaging
EditorsChristoph Hoeschen, Despina Kontos
Place of PublicationWashington USA
PublisherSPIE
Number of pages15
Volume9412
ISBN (Electronic)9781628415025
DOIs
Publication statusPublished - 2015
EventMedical Imaging 2015: Physics of Medical Imaging - Orlando, United States of America
Duration: 22 Feb 201525 Feb 2015

Conference

ConferenceMedical Imaging 2015: Physics of Medical Imaging
CountryUnited States of America
CityOrlando
Period22/02/1525/02/15

Keywords

  • 4D-CT
  • Bayes model
  • Blood flow
  • Coronary arteries
  • FFR
  • Fluid structure interaction
  • Simulation

Cite this

Hirohata, K., Kano, A., Goryu, A., Ooga, J., Hongo, T., Higashi, S., ... Seneviratne, S. K. (2015). A novel CT-FFR method for the coronary artery based on 4D-CT image analysis and structural and fluid analysis. In C. Hoeschen, & D. Kontos (Eds.), Medical Imaging 2015: Physics of Medical Imaging (Vol. 9412). [94122O] Washington USA: SPIE. https://doi.org/10.1117/12.2081674
Hirohata, Kenji ; Kano, A. ; Goryu, A. ; Ooga, J. ; Hongo, T. ; Higashi, S. ; Fujisawa, Yasuko ; Wakai, S. ; Arakita, K. ; Ikeda, Yoshihisa ; Kaminaga, S. ; Ko, B. S. ; Seneviratne, S. K. / A novel CT-FFR method for the coronary artery based on 4D-CT image analysis and structural and fluid analysis. Medical Imaging 2015: Physics of Medical Imaging. editor / Christoph Hoeschen ; Despina Kontos. Vol. 9412 Washington USA : SPIE, 2015.
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abstract = "Non invasive fractional flow reserve derived from CT coronary angiography (CT-FFR) has to date been typically performed using the principles of fluid analysis in which a lumped parameter coronary vascular bed model is assigned to represent the impedance of the downstream coronary vascular networks absent in the computational domain for each coronary outlet. This approach may have a number of limitations. It may not account for the impact of the myocardial contraction and relaxation during the cardiac cycle, patient-specific boundary conditions for coronary artery outlets and vessel stiffness. We have developed a novel approach based on 4D-CT image tracking (registration) and structural and fluid analysis, to address these issues. In our approach, we analyzed the deformation variation of vessels and the volume variation of vessels, primarily from 70{\%} to 100{\%} of cardiac phase, to better define boundary conditions and stiffness of vessels. We used a statistical estimation method based on a hierarchical Bayes model to integrate 4D-CT measurements and structural and fluid analysis data. Under these analysis conditions, we performed structural and fluid analysis to determine pressure, flow rate and CT-FFR. The consistency of this method has been verified by a comparison of 4D-CTFFR analysis results derived from five clinical 4D-CT datasets with invasive measurements of FFR. Additionally, phantom experiments of flexible tubes with/without stenosis using pulsating pumps, flow sensors and pressure sensors were performed. Our results show that the proposed 4D-CT-FFR analysis method has the potential to accurately estimate the effect of coronary artery stenosis on blood flow.",
keywords = "4D-CT, Bayes model, Blood flow, Coronary arteries, FFR, Fluid structure interaction, Simulation",
author = "Kenji Hirohata and A. Kano and A. Goryu and J. Ooga and T. Hongo and S. Higashi and Yasuko Fujisawa and S. Wakai and K. Arakita and Yoshihisa Ikeda and S. Kaminaga and Ko, {B. S.} and Seneviratne, {S. K.}",
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Hirohata, K, Kano, A, Goryu, A, Ooga, J, Hongo, T, Higashi, S, Fujisawa, Y, Wakai, S, Arakita, K, Ikeda, Y, Kaminaga, S, Ko, BS & Seneviratne, SK 2015, A novel CT-FFR method for the coronary artery based on 4D-CT image analysis and structural and fluid analysis. in C Hoeschen & D Kontos (eds), Medical Imaging 2015: Physics of Medical Imaging. vol. 9412, 94122O, SPIE, Washington USA, Medical Imaging 2015: Physics of Medical Imaging, Orlando, United States of America, 22/02/15. https://doi.org/10.1117/12.2081674

A novel CT-FFR method for the coronary artery based on 4D-CT image analysis and structural and fluid analysis. / Hirohata, Kenji; Kano, A.; Goryu, A.; Ooga, J.; Hongo, T.; Higashi, S.; Fujisawa, Yasuko; Wakai, S.; Arakita, K.; Ikeda, Yoshihisa; Kaminaga, S.; Ko, B. S.; Seneviratne, S. K.

Medical Imaging 2015: Physics of Medical Imaging. ed. / Christoph Hoeschen; Despina Kontos. Vol. 9412 Washington USA : SPIE, 2015. 94122O.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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T1 - A novel CT-FFR method for the coronary artery based on 4D-CT image analysis and structural and fluid analysis

AU - Hirohata, Kenji

AU - Kano, A.

AU - Goryu, A.

AU - Ooga, J.

AU - Hongo, T.

AU - Higashi, S.

AU - Fujisawa, Yasuko

AU - Wakai, S.

AU - Arakita, K.

AU - Ikeda, Yoshihisa

AU - Kaminaga, S.

AU - Ko, B. S.

AU - Seneviratne, S. K.

PY - 2015

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N2 - Non invasive fractional flow reserve derived from CT coronary angiography (CT-FFR) has to date been typically performed using the principles of fluid analysis in which a lumped parameter coronary vascular bed model is assigned to represent the impedance of the downstream coronary vascular networks absent in the computational domain for each coronary outlet. This approach may have a number of limitations. It may not account for the impact of the myocardial contraction and relaxation during the cardiac cycle, patient-specific boundary conditions for coronary artery outlets and vessel stiffness. We have developed a novel approach based on 4D-CT image tracking (registration) and structural and fluid analysis, to address these issues. In our approach, we analyzed the deformation variation of vessels and the volume variation of vessels, primarily from 70% to 100% of cardiac phase, to better define boundary conditions and stiffness of vessels. We used a statistical estimation method based on a hierarchical Bayes model to integrate 4D-CT measurements and structural and fluid analysis data. Under these analysis conditions, we performed structural and fluid analysis to determine pressure, flow rate and CT-FFR. The consistency of this method has been verified by a comparison of 4D-CTFFR analysis results derived from five clinical 4D-CT datasets with invasive measurements of FFR. Additionally, phantom experiments of flexible tubes with/without stenosis using pulsating pumps, flow sensors and pressure sensors were performed. Our results show that the proposed 4D-CT-FFR analysis method has the potential to accurately estimate the effect of coronary artery stenosis on blood flow.

AB - Non invasive fractional flow reserve derived from CT coronary angiography (CT-FFR) has to date been typically performed using the principles of fluid analysis in which a lumped parameter coronary vascular bed model is assigned to represent the impedance of the downstream coronary vascular networks absent in the computational domain for each coronary outlet. This approach may have a number of limitations. It may not account for the impact of the myocardial contraction and relaxation during the cardiac cycle, patient-specific boundary conditions for coronary artery outlets and vessel stiffness. We have developed a novel approach based on 4D-CT image tracking (registration) and structural and fluid analysis, to address these issues. In our approach, we analyzed the deformation variation of vessels and the volume variation of vessels, primarily from 70% to 100% of cardiac phase, to better define boundary conditions and stiffness of vessels. We used a statistical estimation method based on a hierarchical Bayes model to integrate 4D-CT measurements and structural and fluid analysis data. Under these analysis conditions, we performed structural and fluid analysis to determine pressure, flow rate and CT-FFR. The consistency of this method has been verified by a comparison of 4D-CTFFR analysis results derived from five clinical 4D-CT datasets with invasive measurements of FFR. Additionally, phantom experiments of flexible tubes with/without stenosis using pulsating pumps, flow sensors and pressure sensors were performed. Our results show that the proposed 4D-CT-FFR analysis method has the potential to accurately estimate the effect of coronary artery stenosis on blood flow.

KW - 4D-CT

KW - Bayes model

KW - Blood flow

KW - Coronary arteries

KW - FFR

KW - Fluid structure interaction

KW - Simulation

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U2 - 10.1117/12.2081674

DO - 10.1117/12.2081674

M3 - Conference Paper

VL - 9412

BT - Medical Imaging 2015: Physics of Medical Imaging

A2 - Hoeschen, Christoph

A2 - Kontos, Despina

PB - SPIE

CY - Washington USA

ER -

Hirohata K, Kano A, Goryu A, Ooga J, Hongo T, Higashi S et al. A novel CT-FFR method for the coronary artery based on 4D-CT image analysis and structural and fluid analysis. In Hoeschen C, Kontos D, editors, Medical Imaging 2015: Physics of Medical Imaging. Vol. 9412. Washington USA: SPIE. 2015. 94122O https://doi.org/10.1117/12.2081674