Medical digital subtraction image fusion method based on ridgelet transform

A technology of ridgelet transformation and digital subtraction, which is applied in the field of image fusion in medical image processing technology, to achieve the effects of auxiliary diagnosis, low time complexity, and rich texture details

Inactive Publication Date: 2012-02-08
SUZHOU UNIV
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to provide a DSA image adaptive fusion method based on Ridgelet transform, in order to solve the shortcoming that the existing DSA image cannot realize adaptive fusion under the premise of keeping the details of blood vessel texture

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
  • Medical digital subtraction image fusion method based on ridgelet transform
  • Medical digital subtraction image fusion method based on ridgelet transform
  • Medical digital subtraction image fusion method based on ridgelet transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] Embodiment one: figure 1 It is an overall flowchart of the DSA image adaptive fusion method based on Ridgelet transformation, and the data file (picture file) is a brain DSA blood vessel picture conforming to the DICOM standard.

[0037] Step 1: Read in the DSA sequence picture and perform Ridgelet transformation on it. The specific steps are as follows (see figure 2 ):

[0038] Step 1: Read in two pictures in the DSA sequence picture, the picture size is uniformly set to 1024 pixels (length) × 1024 pixels (width) by the system, marked as picture 1 and picture 2. In this way, the problem of image distribution caused by too large images can be avoided.

[0039] Step 2: Carry out digital Ridgelet transformation on picture 1 and picture 2 respectively.

[0040] That is, through Radon transformation, the pixels of a 1024×1024 image become a 1024×2048 array, and then one-dimensional wavelet transformation is performed on the 1024×2048 array to obtain the Ridgelet transfor...

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 medical digital subtraction image fusion method based on ridgelet transformation, which comprises the following steps: (1) respectively performing ridgelet transformation on two images to obtain a ridgelet transformation matrix; (2) performing fusion processing; ( 3) Carry out ridgelet inverse transform to the ridgelet transformation matrix after fusion, and the reconstructed image obtained is the image after fusion; it is characterized in that: in step (1), the initial judgment threshold and the step size are set, and the process is carried out accordingly. Ridgelet transform, use the inverse transformation to reconstruct the fusion image, calculate the information entropy of the fusion image, use the dynamic fuzzy method to change the judgment threshold according to the step size and repeat the above operation, use the judgment threshold corresponding to the maximum information entropy as the final judgment threshold, and obtain the step (1 ) described ridgelet transformation matrix. The invention can effectively improve the information entropy of the fusion image, reduce the root mean square error rate, and the performance is better than other traditional fusion methods. The time complexity of the algorithm is low, and the results obtained are relatively accurate, which greatly enriches the texture details of medical images.

Description

technical field [0001] The invention belongs to the field of image fusion in medical image processing technology, and relates to an adaptive fusion method of medical digital subtraction (DSA) images, in particular to dynamic fuzzy technology and Ridgelet transformation theory. Background technique [0002] In today's world, cardiovascular and cerebrovascular diseases are seriously threatening human health and life safety. However, the diagnosis of vascular soft tissue is quite complicated, and relies heavily on high-tech methods such as computer and X-ray angiography. [0003] Digital Subtraction Angiography (DSA) is a new technology of medical imaging emerging in the 1980s. It is a new examination method combining computer and conventional X-ray angiography. It integrates digital electronics, computer technology and Angiography is a new technology integrating angiography. It has the characteristics of real-time imaging, high resolution, subtraction effect, and drawing of v...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50
Inventor 崔志明张广铭吴健
Owner SUZHOU 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