Plaque vulnerability assessment in medical imaging
AssigneeSiemens Aktiengesellschaft
InventorsPuneet Sharma, Dorin Comaniciu
Life of this patent
Estimating the term…
Abstract
Rather than rely on variation from physician to physician and limited imaging information for assessing plaque vulnerability of a patient, medical imaging and other information are used by a machine-implemented classifier to predict plaque rupture. Anatomical, morphological, hemodynamic, and biochemical features are used in combination to classify plaque.
Claims20
A method for assessing plaque vulnerability of a patient in medical imaging, the method comprising:
- extracting an anatomical feature of a vessel or plaque and a morphological feature of the plaque from a scan of the patient by a medical imaging scanner;
- obtaining a hemodynamic feature of the patient from a hemodynamic sensor or personalized modeling of the vessel based on the scan;
- receiving at an interface a biochemical feature from a blood test of the patient;
- calculating by a machine-implemented classifier a risk score for plaque rupture for the patient from the anatomical, morphological, hemodynamic, and biochemical features;
- and
- transmitting the risk score for the patient to a display.
A system for assessing plaque vulnerability of a patient in medical imaging, the system comprising:
- a medical scanner configured to scan a vessel and plaque of a patient;
- a memory configured to store one or more first features from a blood test;
- an image processor configured to extract one or more second features of the vessel, plaque, or vessel and plaque from data of the scan and to determine a risk of rupture of the plaque from the first features, the second features, and a third feature for hemodynamics;
- and
- an output configured to output the risk of rupture of the plaque for the patient.
A method for assessing plaque vulnerability of a patient in medical imaging, the method comprising:
- loading a morphological characteristic of plaque of a patient, a hemodynamic characteristic, an anatomy characteristic of a vessel with the plaque, and a biochemical characteristic of the plaque as an input feature vector;
- classifying the plaque of the patient by a machine-trained classifier in response to the input feature vector;
- and
- signaling a result of the classifying to a user.
Dependencies are inferred from the claim text.