Method and system for patient-specific modeling of blood flow
View Patent ↗Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.
1. A non-transitory computer readable storage medium having stored thereon a computer program comprising instructions, which, when executed by a computer, cause the computer to:
acquire non-invasively generated patient-specific anatomical data comprising information of at least one vessel of an imaging subject;
generate, using a processor, a three-dimensional geometric model from the patient-specific anatomical data, the three-dimensional geometric model comprising the at least one vessel;
determine anatomical information from the three-dimensional geometric model by generating a vessel tree by segmenting vessels in the three-dimensional geometric model from other anatomical structures contained therein;
perform a computational fluid dynamics (CFD) analysis on the three-dimensional geometric model to generate hemodynamic pressure information from the anatomical information based on, at least in part, a relative material density of wall tissue and a composition of wall tissue of at least a portion of the vessel tree;
receive non-invasively generated perfusion data of a tissue adjacent to the at least one vessel;
determine an indicia of a perfusion risk of the tissue affected by a plaque or stenotic lesion using the CFD analysis and the perfusion data;
output a visualization of the perfusion data on the three-dimensional geometric model in combination with the indicia of the perfusion risk of of the tissue; and
enable an assessment of a treatment option for treating the tissue by electronic modification of the three-dimensional geometric model.
2. The non-transitory computer readable storage medium of claim 1 , wherein the instructions that cause the computer to acquire the patient-specific anatomical data cause the computer to acquire patient-specific anatomical CT imaging data.
3. The non-transitory computer readable storage medium of claim 2 wherein the instructions that cause the computer to acquire the patient-specific anatomical data cause the computer to:
acquire the patient-specific anatomical data at multiple phases of a cardiac cycle of the imaging subject.
4. The non-transitory computer readable storage medium of claim 2 wherein the instructions that cause the computer to receive the perfusion data cause the computer to receive perfusion data having a different imaging modality than CT imaging.
5. The non-transitory computer readable storage medium of claim 1 wherein the instructions that cause the computer to generate the vessel tree cause the computer to:
identify the plaque in the vessel tree; and
calculate hemodynamic pressure information corresponding to the plaque in the vessel tree.
6. The non-transitory computer readable storage medium of claim 1 wherein the instructions further cause the computer to:
locate a vessel of interest based on one of the three-dimensional geometric model and the hemodynamic pressure information; and
locate a stenosis within the vessel of interest.
7. The non-transitory computer readable storage medium of claim 6 wherein the instructions further cause the computer to:
display the vessel of interest to a user; and
receive a user input identifying a region of stenosis of the vessel of interest, the region of stenosis comprising the stenosis.
8. A method for estimating vascular hemodynamic information comprising:
acquiring non-invasively generated patient-specific anatomical data comprising information of at least one vessel of an imaging subject;
generating, using a processor, a three-dimensional geometric model from the patient-specific anatomical data, the three-dimensional geometric model comprising the at least one vessel;
determining anatomical information from the three-dimensional geometric model by generating a vessel tree by segmenting vessels in the three-dimensional geometric model from other anatomical structures contained therein;
performing a computational fluid dynamics (CFD) analysis on the three-dimensional geometric model to generate hemodynamic pressure information from the anatomical information based on, at least in part, a relative material density of wall tissue and a composition of wall tissue of at least a portion of the vessel tree;
receiving non-invasively generated perfusion data of a tissue adjacent to the at least one vessel;
determining an indicia of a perfusion risk of the tissue affected by a plaque or stenotic lesion using the CFD analysis and the perfusion data;
outputting a visualization of the perfusion data on the three-dimensional geometric model in combination with the indicia of the perfusion risk of the tissue; and
enabling an assessment of a treatment option for treating the tissue by electronic modification of the three-dimensional geometric model.
9. The method of claim 8 wherein performing a CFD analysis on the three-dimensional geometric model to generate the hemodynamic pressure information further comprises:
acquiring a plurality of volumes of angiography data from the imaging subject via a coronary CT angiography exam.
10. A system for estimating vascular hemodynamic information, comprising:
a digital storage device storing instructions that, when executed by a processor, cause the computer system to perform a method for estimating vascular hemodynamic information; and
a processor configured to execute the instructions to perform the method for estimating vascular hemodynamic information, the method comprising:
acquiring non-invasively generated patient-specific anatomical data comprising information of at least one vessel of an imaging subject;
generating, using a processor, a three-dimensional geometric model from the patient-specific anatomical data, the three-dimensional geometric model comprising the at least one vessel;
determining anatomical information from the three-dimensional geometric model by generating a vessel tree by segmenting vessels in the three-dimensional geometric model from other anatomical structures contained therein;
performing a computational fluid dynamics (CFD) analysis on the three-dimensional geometric model to generate hemodynamic pressure information from the anatomical information based on, at least in part, a relative material density of wall tissue and a composition of wall tissue of at least a portion of the vessel tree;
receiving non-invasively generated perfusion data of a tissue adjacent to the at least one vessel;
determining an indicia of a perfusion risk of the tissue affected by a plaque or stenotic lesion using the CFD analysis and the perfusion data;
outputting a visualization of the perfusion data on the three-dimensional geometric model in combination with the indicia of the perfusion risk of the tissue; and
enabling an assessment of a treatment option for treating the tissue by electronic modification of the three-dimensional geometric model.
11. The system of claim 10 wherein acquiring the patient-specific anatomical data comprises:
acquiring the patient-specific anatomical data at multiple phases of a cardiac cycle of the imaging subject.
12. The system of claim 10 wherein the processor is configured for determining the anatomical information, generating the vessel tree, and further configured for:
identifying the plaque in the vessel tree; and
calculating hemodynamic information corresponding to the identified plaque in the vessel tree.
13. The system of claim 10 , wherein the system further comprises a computer system disposed in communication with a computed tomography (CT) scanner.
14. The method of claim 10 , wherein the three-dimensional geometric model is a three-dimensional image volume derived from the patient-specific anatomic data.