Multi-modality medical data three-dimensional visual method

A multi-modal, volumetric data technology, applied in the field of biomedical engineering, can solve the problem of unsolved multi-modal data fusion display problems, etc., to achieve the effect of improving speed, reducing search range, and reducing the number of iterations

Inactive Publication Date: 2006-08-16
HANGZHOU DIANZI UNIV
View PDF8 Cites 51 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The visualization of volume-volume fusion (03805385.3) proposes a method of using multiple volumes to fuse and display images. This invention uses the extraction of two-dimensional layers in the fusion display of

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-modality medical data three-dimensional visual method
  • Multi-modality medical data three-dimensional visual method
  • Multi-modality medical data three-dimensional visual method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] We illustrate the 3D visualization of CT and PET modal data with examples. Let the CT volume data be the reference volume, the PET volume data be the floating volume, and their respective coordinates be the object space coordinates. First, we set the multi-resolution coarse registration to 8 pixel length units, perform coordinate transformation on CT and PET data, and calculate the standardized mutual information after the coordinate transformation, and find the coordinate parameters when the standardized mutual information is the largest Taking the optimal point as the starting point, reduce the range of coordinate transformation, and at the same time halve the unit length of coordinate transformation, that is, increase the resolution, continue the previous coordinate transformation and standardized mutual information criterion process, until the optimal point, in the new optimal On the basis, repeat the previous steps, and approach step by step from coarse registrati...

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 involves a multi-mode medical body data three-dimensional video-method. Most the existing technologies are based on two-two-dimensional lay or two-three dimensional lay, which do not realize the integrated display course of medical body data aligning and amalgamation. The said method includes standardization mutual information-way aligning based on multi resolution ratio and single drop multi-mode straight body protracting-way amalgamation display. The previous one includes three approaches, such as coordinate transform, orientation criterion and multi resolution ratio optimize; the latter includes five approaches, such as impress function definition, the calculation of illumination model, image composition, single drop multi-mode show of the multi-mode data and amalgamation display. The invention can realize the integrated display course of medical body data aligning and amalgamation, and is a real two-three dimensional multi-mode video-method.

Description

technical field [0001] The invention belongs to the field of biomedical engineering and relates to a three-dimensional visualization method for multimodal medical body data. Background technique [0002] Medical image data can be divided into two categories: one is anatomical images such as X-ray computed tomography (CT) and nuclear magnetic resonance (MR), which are suitable for displaying the anatomical details of the human body and have high spatial resolution; the other is normal Electron emission tomography (PET), single photon emission tomography (SPECT) and other functional images are suitable for reflecting information such as functional changes and metabolic abnormalities of human tissues, but their spatial resolution is poor. Due to the limitations of image information caused by different imaging principles, the effect of using one modality data alone is not ideal. Through multi-modal visualization, multiple scan sources or data from the same patient or multiple p...

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): G06T11/00G06T7/00
Inventor 金朝阳薛安克王建中杨成忠
Owner HANGZHOU DIANZI 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