| CPC G06T 7/0012 (2013.01) [A61B 5/0035 (2013.01); A61B 5/0044 (2013.01); A61B 5/367 (2021.01); G06T 7/33 (2017.01); G06T 7/55 (2017.01); A61B 5/055 (2013.01); A61B 6/503 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/30048 (2013.01)] | 16 Claims |

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1. An image processing method, comprising:
acquiring an imageological image, the imageological image comprising a plurality of tomographic images;
performing a three-dimensional reconstruction according to the plurality of the tomographic images to obtain a three-dimensional image model, the three-dimensional image model comprising a three-dimensional myocardial fibrosis region image;
acquiring a three-dimensional electroanatomic model, the three-dimensional electroanatomic model comprising a three-dimensional abnormal myocardial tissue image; and
registering the three-dimensional image model and the three-dimensional electroanatomic model, and determining an overlapping portion of the three-dimensional myocardial fibrosis region image and the three-dimensional abnormal myocardial tissue image as a location of a lesion;
wherein the tomographic images comprise a myocardial fibrosis region, before the performing the three-dimensional reconstruction according to the plurality of the tomographic images to obtain the three-dimensional image model, the method further comprises:
acquiring, based on a mathematical morphology, coordinates of a heart cavity region in each of the tomographic images, extracting grayscale information of a heart cavity region image in a corresponding tomographic image according to the coordinates of the heart cavity region, and setting a remaining region's image in each of the tomographic images as a background to obtain a corresponding heart cavity grayscale image; and
counting the grayscale information of each of the heart cavity grayscale images to identify the myocardial fibrosis region in the heart cavity grayscale images.
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