Mammary gland prosthesis preparation device and method based on point cloud data clustering

Abstract

The invention provides a mammary gland prosthesis preparation device and method based on point cloud data clustering, wherein the device comprises a smooth noise reducer, an image intensifier, a surface rendering reconstructor, a volume rendering reconstructor, a point cloud data extractor, a surface and volume data fusion device, and a data image displayer. The method comprises the steps: importing a mammary nuclear magnetic resonance image into the smooth noise reducer and the image intensifier for preprocessing, respectively importing the preprocessed mammary nuclear magnetic resonance image into the surface rendering reconstructor and the volume rendering reconstructor to obtain a three-dimensional model image, extracting a point cloud data set through a point cloud data extractor, andimporting the point cloud data set into the surface and volume data fusion device for fusion processing; and finally, generating a mammary prosthesis model by using the data image displayer. According to the device and method, after the point cloud data set obtained by surface rendering and the point cloud data set obtained by volume rendering are fused, the missing outline of the outer surface can be made up, the internal integrity can be ensured, the information of the functional nuclear magnetic resonance image is brought into full play, and a better medical auxiliary service effect is achieved.

Description

technical field [0001] The invention relates to the technical field of computer-aided diagnosis, in particular to a breast prosthesis preparation device and method based on point cloud data clustering. Background technique [0002] The three-dimensional reconstruction technology is a series of tomographic two-dimensional images taken during the clinical process, and the images are in the medical DICOM format. Through correlation reconstruction technology, images of human organ tissue structure can be output. Medical clinic realizes the process of image changing from two-dimensional image to three-dimensional stereoscopic image. At present, the research on medical image reconstruction at home and abroad is mainly divided into two methods, which are surface rendering based on the surface of the object and volume rendering based on the overall area of ​​the object. Surface rendering is also known as the indirect rendering method. It describes the three-dimensional structure o...

AI Technical Summary

Problems solved by technology

Most of them will be scanned by an instrument. The instrument uses the light method. This method will lose the outer contour edge after the drawing is completed. Sometimes the edge will cause the fit between the area where the mammary gland is removed and the skin.

The time efficiency of surface rendering is high, but its internal information is not utilized, so this method is unreliable if there are requirements for the internal reconstruction of the target object; volume rendering resources occupy a large amount, the operation efficiency is low, and the interactivity is poor

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