Multi-parameter magnetic resonance image based prostate cancer computer auxiliary identification system

A computer-aided, identification system technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve problems such as difficult interpretation and utilization by clinicians, and the inability of multi-parameter magnetic resonance imaging information to transmit clinicians well. , to achieve the effect of high accuracy and simple operation

Inactive Publication Date: 2015-03-18
PEKING UNIV
View PDF5 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Due to the complexity of technology, the information of multi-parameter magnetic resonance imaging

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-parameter magnetic resonance image based prostate cancer computer auxiliary identification system
  • Multi-parameter magnetic resonance image based prostate cancer computer auxiliary identification system
  • Multi-parameter magnetic resonance image based prostate cancer computer auxiliary identification system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention will be described in further detail below in conjunction with accompanying drawing, the present invention comprises three main modules altogether, as figure 1 As shown, the details are as follows:

[0024] 1. Image preprocessing module: Import the axial T2-weighted image, diffusion-weighted image and dynamic enhanced image from the same patient into the system, manually select the region of interest (fixed size or arbitrary size), and calculate the diffusion-weighted image The apparent diffusion coefficient map (ADC) and the dynamic enhancement curve of the dynamic enhancement image are prepared for the subsequent feature extraction. The entire selection process was evaluated by two experienced radiologists (with 7 and 9 years of experience in prostate magnetic resonance diagnosis), and a total of 238 ROIs were selected from the peripheral zone and 188 from the central gland ROI.

[0025] 2. Parameter processing module: extract feature parameters...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a multi-parameter magnetic resonance image based prostate cancer computer auxiliary identification system and method. The multi-parameter magnetic resonance image based prostate cancer computer auxiliary identification system comprises three portions of an image preprocessing module, a parameter processing module and a prediction and evaluation module. According to the multi-parameter magnetic resonance image based prostate cancer computer auxiliary identification system, the characteristics of a T2 weighted image, a diffusion weighted image and a dynamic enhanced image are comprehensively utilized and the purpose of the identification of the prostate cancer focus is achieved through an artificial neural network structure; the ROC (Receiver Operating Characteristic) area under curve of the peripheral zone of prostate of the system is 0.931 and the identification accuracy is 0.887 and the ROC area under curve in the central gland is 0.909 and the identification accuracy is 0.915 through a test; the image information obtained through the conventional magnetic resonance imaging scanning sequence scanning sequence can be well integrated, quantitative parameters in the images are utilized in a maximum mode, and the identification result of the prostate cancer is objectively provided; the operation is simple and convenient, the reference can be intuitively provided for doctors, and the important basis is provided for the subsequent diagnosis scheme.

Description

technical field [0001] The invention belongs to the technical field of computer-aided analysis of medical images, in particular to a software system for assisting the identification of prostate cancer lesions based on characteristic parameters of a region of interest (ROI) in a magnetic resonance image (MRI). Background technique [0002] Prostate cancer is a common malignant tumor in men, it is the second most common disease among male cancer patients, and its incidence rate ranks fifth in the whole population. In recent years, prostate cancer has attracted more and more attention from potential patients and urologists, and the number of clinical cases is also rapidly accumulating. Magnetic resonance technology has been applied to prostate diseases for more than ten years, and has become the most commonly used imaging method for prostate cancer identification, diagnosis, treatment guidance, and follow-up. In recent years, due to the advancement of magnetic resonance techno...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F19/00A61B5/055
Inventor 王成彦王鹤胡娟陈双娟张珏王霄英方竞
Owner PEKING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap