Multi-modality deformable registration

A multi-modal and modality technology, applied in the field of medical imaging, can solve problems such as lack of functional correlation and difficulty in measuring strength

Active Publication Date: 2014-11-26
KONINKLJIJKE PHILIPS NV
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Lack of functional correlation between MRI and US image modalities ...

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 deformable registration
  • Multi-modality deformable registration
  • Multi-modality deformable registration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028]The present invention provides a method, system and computer program product for multimodal deformable imaging registration. Multimodal deformable registration is performed in two stages. In the first stage, a deformable model is generated for the body structure at the location of the registered images. A model is generated for each of the plurality of objects using images from the same high-resolution imaging modality with different deformation states. Generate a deformation model in the form of an average deformation and a number of deformation mode vectors.

[0029] In a second stage, a deformation field is estimated for warping an image from a high-resolution imaging modality at one deformation state of the first stage to an image from another imaging modality with a different deformation state. Registration between images from different modalities is performed using the set of uniquely identifiable landmarks in the two imaging modalities, thereby estimating the de...

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

A method, system, and computer program product are provided for performing a multi-modal deformable imaging registration between two different modalities for which a functional dependency is missing or very difficult to identify. The method provides a nonlinear mapping between every pair of points in the two image modalities by calculating the nonlinear mapping for only a limited number of identifiable landmarks within the two modalities and a statistical deformation model of the structure of interest. The method comprises: calculating a mean deformation and a plurality of deformation mode Eigen vectors for a body structure from images from the same imaging mode with different deformation states for a plurality of subjects; performing a registration of a limited number of uniquely identifiable landmark points between images from two different imaging modalities for the same subject to calculate the deformation field for the landmarks from the images; determining weights for each deformation mode Eigen vector using deformation field values at the landmarks with the mean deformation and the deformation mode vectors; and summing the mean deformation field and the linear combination of the weighted deformation mode vectors to determine the deformation field between the different imaging modes for all the points within the images.

Description

technical field [0001] The present invention relates to the field of medical imaging, and more particularly to a method, system and computer program product for automatic multimodal deformable registration using statistical deformation modeling and sparse deformation data. Background technique [0002] Image registration is an important challenge in medical image processing. A major goal in medical image registration is to compute the geometric transformation that aligns the same or different images of the same object or structure. Different images can have the same modality or different modality. Common modalities for medical image registration include, but are not limited to: Magnetic Resonance Imaging (MRI), Computed Tomography (CT), and Ultrasound (US). [0003] An important subset of image registration problems involves matching images from different image modalities, sometimes referred to as multimodal image fusion. Multimodal image registration is particularly chal...

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): G06T7/00
CPCG06T2207/30081G06T2207/10088G06T2207/10136G06T7/0028G06T7/33G06T3/0068G06T2207/20048
Inventor A·M·塔赫玛塞比马拉古奥施J·克吕克尔M·谢里菲
Owner KONINKLJIJKE PHILIPS NV
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