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Multi-mode medical image platform based on sparse learning and mutual information

A medical image and mutual information technology, applied in the medical field, can solve problems affecting registration accuracy, achieve tracking and measurement, and improve positioning

Active Publication Date: 2018-02-02
SHANDONG FIRST MEDICAL UNIV & SHANDONG ACADEMY OF MEDICAL SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It leads to too many local maxima or minima during the registration process, which is sensitive to noise and outliers, which affects the accuracy of registration

Method used

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  • Multi-mode medical image platform based on sparse learning and mutual information
  • Multi-mode medical image platform based on sparse learning and mutual information

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Experimental program
Comparison scheme
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Embodiment 1

[0042] Please see attached figure 1 , figure 2 , a multimodal medical image platform based on sparse learning and mutual information, including a basic information system, a simulation system and a real-time monitoring system; the basic information system and the simulation system are connected through a data transmission network cable, and the basic information system and the real-time monitoring system The data transmission network cable is connected, and the simulation system and the real-time monitoring system are connected through the data transmission network cable.

[0043] The basic information system is a patient database, which can check and call the patient's past medical records, the basic detection data of this treatment, and the basic information system includes the doctor's diagnosis, prescription, medication, and detection data during the patient's treatment process; it is a mature database.

[0044] The simulation system derives the relevant test data throu...

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Abstract

The invention relates to a multi-mode medical image platform based on sparse learning and mutual information. The platform is characterized by comprising a basic information system, a simulation system and a real-time monitoring system, wherein the basic information system and the simulation system are connected by a data transmission network cable, the basic information system and the real-time monitoring system are connected by a data transmission network cable, and the simulation system and the real-time monitoring system are connected by a data transmission network cable. The real-time monitoring system combines detection means such as infrared imaging, fluorescence imaging, biological imaging and laser and infrared ranging, compares and calls CT and MRI anatomical images and SPECT andPET organ metabolism information images in a data center and in the basic information system, and compares the pathological information of lesions, so as to guide the operators' work and the doctors'diagnosis and pathological judgment. Therefore, the real-time performance and accuracy of diagnosis and treatment by doctors for major and difficult miscellaneous diseases are improved.

Description

【Technical field】 [0001] The invention relates to the field of medical technology, in particular to a multimodal medical image platform based on sparse learning and mutual information. 【Background technique】 [0002] Medical images include anatomical images and functional images. Anatomical images have high resolution and can clearly display the anatomical structure of organs, but cannot provide functional information of organs; functional images can provide information on functional changes such as metabolism of the human body, but have low resolution and cannot clearly display the anatomy of organs Structural or lesion details. The registration and fusion technology of multi-modal medical images can enable medical personnel to effectively and conveniently use the anatomical information and functional information in different modal images. This patent studies the following aspects of multimodal medical image registration: ① In terms of similarity measurement, the mutual i...

Claims

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Application Information

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IPC IPC(8): G16H10/60G16H30/20G16H50/50
Inventor 彭磊肖延丽张裕飞孙增武张峰
Owner SHANDONG FIRST MEDICAL UNIV & SHANDONG ACADEMY OF MEDICAL SCI