New patent application published for: METHOD, APPARATUS, AND SYSTEM FOR PREDICTING A PULMONARY ARTERIAL HYPERTENSION CONDITION OF A SUBJECT

METHOD, APPARATUS, AND SYSTEM FOR PREDICTING A PULMONARY ARTERIAL HYPERTENSION CONDITION OF A SUBJECT

Claims

1. A method for predicting a pulmonary arterial hypertension condition of a subject, the method comprising: measuring, by a processor, a morphological feature of a region of a heart of the subject from a plurality of echocardiogram videos, each of the plurality of echocardiogram videos showing the heart at a different viewing angle, the morphological feature relating to the pulmonary arterial hypertension condition; and generating, by the processor, a prediction score representing a likelihood of the subject having the pulmonary arterial hypertension condition from the morphological feature.
2. The method of claim 1, further comprising: generating, by the processor, a feature vector by combining a vector representation of the morphological feature measured from each of the plurality of echocardiogram videos; and generating, by the processor, the prediction score from the feature vector.
3. The method of claim 1, further comprising: measuring, by the processor, a velocity of blood flow in the region of the heart from the plurality of echocardiogram videos; and generating, by the processor, the prediction score from the morphological feature and the velocity of blood flow.
4. The method of claim 1, further comprising: determining, by the processor, at least one of a symptom classification of the pulmonary arterial hypertension condition, a pulmonary artery systolic pressure, and a mean pulmonary artery pressure from the morphological feature; and generating, by the processor, the prediction score from the at least one of the symptom classification of the pulmonary arterial hypertension condition, the pulmonary artery systolic pressure, and the mean pulmonary artery pressure.
5. The method of claim 2, further comprising: applying, by the processor, a weight to the morphological feature measured from each of the plurality of echocardiogram videos; and generating, by the processor, the feature vector by combining a vector representation of the weighted morphological feature from each of the plurality of echocardiogram videos.
6. The method of claim 5, further comprising: generating, by the processor, another prediction score from the morphological feature measured from a second plurality of echocardiogram videos, the second plurality of echocardiogram videos generated from the plurality of echocardiogram videos to identify the region of the heart, each of the second plurality of echocardiogram videos showing the region of the heart; determining, by the processor, a difference between the prediction score and the another prediction score; and adjusting, by the processor, the weight to minimise the difference.
7. The method of claim 6, further comprising: determining, by the processor, another difference between the prediction score and a reference score representing an existence of the pulmonary arterial hypertension condition; and adjusting, by the processor, the weight to minimise the another difference.
8. The method of claim 7, wherein the generating the another prediction score comprises generating the another prediction score using parameters of a model, the method further comprising: determining, by the processor, a further difference between the another prediction score and the reference score; and adjusting, by the processor, the parameters of the model to minimise the further difference.
9. The method of claim 1, wherein the plurality of echocardiogram videos comprises an echocardiogram video showing at least one of: a parasternal left ventricle long axis view, a pulmonary artery long axis view, a left ventricular short axis view, and an apical four-chamber heart view.
10. The method of claim 1, wherein the morphological feature comprises at least one of: a diameter of a ventricle, a diameter of a pulmonary artery, a diameter of an inferior vena cava, and an area of a right atrium.
11. An apparatus for predicting a pulmonary arterial hypertension condition of a subject, the apparatus comprising: at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to: measure a morphological feature of a region of a heart of the subject from a plurality of echocardiogram videos, each of the plurality of echocardiogram videos showing the heart at a different viewing angle, the morphological feature relating to the pulmonary arterial hypertension condition; and generate a prediction score representing a likelihood of the subject having the pulmonary arterial hypertension condition from the morphological feature.
12. The apparatus of claim 11, wherein the at least one memory and the computer program code is configured to, with the at least one processor, cause the apparatus at least to further: generate a feature vector by combining a vector representation of the morphological feature measured from each of the plurality of echocardiogram videos; and generate the prediction score from the feature vector.
13. The apparatus of claim 11, wherein the at least one memory and the computer program code is configured to, with the at least one processor, cause the apparatus at least to further: measure a velocity of blood flow in the region of the heart from the plurality of echocardiogram videos; and generate the prediction score from the morphological feature and the velocity of blood flow.
14. The apparatus of claim 11, wherein the at least one memory and the computer program code is configured to, with the at least one processor, cause the apparatus at least to further: determine at least one of a symptom classification of the pulmonary arterial hypertension condition, a pulmonary artery systolic pressure, and a mean pulmonary artery pressure from the morphological feature; and generate the prediction score from the at least one of the symptom classification of the pulmonary arterial hypertension condition, the pulmonary artery systolic pressure, and the mean pulmonary artery pressure.
15. The apparatus of claim 12, wherein the at least one memory and the computer program code is configured to, with the at least one processor, cause the apparatus at least to further: apply a weight to the morphological feature measured from each of the plurality of echocardiogram videos; and generate the feature vector by combining a vector representation of the weighted morphological feature from each of the plurality of echocardiogram videos.
16. The apparatus of claim 15, wherein the at least one memory and the computer program code is configured to, with the at least one processor, cause the apparatus at least to further: generate another prediction score from the morphological feature measured from a second plurality of echocardiogram videos, the second plurality of echocardiogram videos generated from the plurality of echocardiogram videos to identify the region of the heart, each of the second plurality of echocardiogram videos showing the region of the heart; determine a difference between the prediction score and the another prediction score; and adjust the weight to minimise the difference.
17. The apparatus of claim 16, wherein the at least one memory and the computer program code is configured to, with the at least one processor, cause the apparatus at least to further: determine another difference between the prediction score and a reference score representing an existence of the pulmonary arterial hypertension condition; and adjust the weight to minimise the another difference.
18. The apparatus of claim 17, wherein the at least one memory and the computer program code is configured to, with the at least one processor, cause the apparatus at least to further: generate the another prediction score using parameters of a model; determine a further difference between the another prediction score and the reference score; and adjust the parameters of the model to minimise the further difference.
19. The apparatus of claim 11, wherein the plurality of echocardiogram videos comprises an echocardiogram video showing at least one of: a parasternal left ventricle long axis view, a pulmonary artery long axis view, a left ventricular short axis view, and an apical four-chamber heart view.
20. The apparatus of claim 11, wherein the morphological feature comprises at least one of: a diameter of a ventricle, a diameter of a pulmonary artery, a diameter of an inferior vena cava, and an area of a right atrium.
21. A system for predicting a pulmonary arterial hypertension condition of a subject comprising an apparatus of claim 11 and an imaging device for capturing the plurality of echocardiogram videos.