Plaque vulnerability assessment in medical imaging
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.
1. 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 stratification of plaque rupture from the first features, the second features, and a third feature for hemodynamics wherein the risk stratification is determined with a machine-learnt classifier with the first, second and third features as part of an input vector of the machine-learnt classifier; and
an output configured to output the risk stratification for the patient.
2. The system of claim 1 wherein the medical scanner comprises an angiography scanner and the second features comprises anatomical, morphological, or anatomical and morphological features of the vessel, plaque, or vessel and plaque.
3. The system of claim 1 wherein the first features comprise biochemical features of blood of the patient.
4. The system of claim 1 wherein the image processor is configured to calculate the third features as a force on the plaque, vessel, or plaque and vessel calculated from flow, pressure, or flow and pressure measurements or estimates.
5. The system of claim 1 wherein the image processor is configured to calculate the third features from a fluid-structure interaction computation derived from the scan.
6. The system of claim 3 , wherein the biochemical features comprise at least a level of high sensitive troponin.