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Heterogeneous feature processing method and apparatus for neurological disease images

A technology for neurological diseases and processing methods, applied in image data processing, image enhancement, image analysis, etc.

Inactive Publication Date: 2019-03-26
BEIJING SHENRUI BOLIAN TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0011] The main purpose of this application is to provide a heterogeneous feature processing method and device for neurological disease images to solve the problem of multicollinearity in high-dimensional problems

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  • Heterogeneous feature processing method and apparatus for neurological disease images
  • Heterogeneous feature processing method and apparatus for neurological disease images
  • Heterogeneous feature processing method and apparatus for neurological disease images

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Embodiment Construction

[0044] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0045] It should be noted that the terms "first" and "second" in the specification and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily to describe a specific order or sequence. It should be understood that the data so used are interchangeable under appropriate circumstances for the embo...

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Abstract

The present application discloses a heterogeneous feature processing method and apparatus for neurological disease images. The method includes constructing a two-sample detection model at the lesion site and selecting heterogeneous variables according to the neurological image to obtain a preprocessing result; Inputting the preprocessing result into a preset model; As well as obtaining that selected variable accord to the output result of the preset model and detecting the heterogeneous characteristics. The present application address the technical problem of multicollinearity that can be encountered in high dimensional problem. FDR provided in this application-S can effectively capture heterogeneous features using the constraints of spatial clusters. In addition, by introducing auxiliaryvariables, the algorithm can be solved by EM algorithm.

Description

technical field [0001] This application relates to the field of medical image processing, in particular, to a heterogeneous feature processing method and device for neurological disease images. Background technique [0002] Voxel-based image analysis for neurological diseases broadly includes three types of features: [0003] (1) Impaired features associated with the disease; [0004] (2) The process deviation introduced in the pre-treatment and helpful for disease judgment; [0005] (3) Features that are not related to the disease. [0006] Among them, the first two types of features are meaningful features, usually in order to select these two types of features as much as possible, and control the proportion of (3) type features to the minimum. [0007] The damaged feature is the main basis for judging the disease because it is related to the pathology. In Alzheimer's disease, for example, it refers to atrophied areas such as the bilateral hippocampus and the medial te...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10088G06T2207/30004
Inventor 孙鑫伟
Owner BEIJING SHENRUI BOLIAN TECH CO LTD