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 language | English |
|---|---|
| Title of host publication | Medical Imaging 2015: Physics of Medical Imaging |
| Editors | Christoph Hoeschen, Despina Kontos |
| Place of Publication | Washington USA |
| Publisher | SPIE |
| Number of pages | 15 |
| Volume | 9412 |
| ISBN (Electronic) | 9781628415025 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | Medical Imaging 2015: Physics of Medical Imaging - Orlando, United States of America Duration: 22 Feb 2015 → 25 Feb 2015 |
Conference
| Conference | Medical Imaging 2015: Physics of Medical Imaging |
|---|---|
| Country | United States of America |
| City | Orlando |
| Period | 22/02/15 → 25/02/15 |
Keywords
- 4D-CT
- Bayes model
- Blood flow
- Coronary arteries
- FFR
- Fluid structure interaction
- Simulation
Cite this
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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 proceeding › Conference Paper › Research › peer-review
TY - GEN
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
Y1 - 2015
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
UR - http://www.scopus.com/inward/record.url?scp=84943232038&partnerID=8YFLogxK
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 -