Image segmentation and reconstruction method and system based on nuclear magnetic resonance image sequences
A nuclear magnetic resonance image and image segmentation technology, applied in image data processing, 3D modeling, instruments, etc., can solve the problem of no shape, etc., and achieve the effect of simple use, high precision, and good scalability
Active Publication Date: 2014-12-24
INST OF COMPUTING TECH CHINESE ACAD OF SCI
View PDF6 Cites 4 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the problem solved by this invention is to use ultrasonic images to segment and reconstruct objects. This method relies on the statistical shape and model of the object known in advance, but for tissues such as atrophied muscles, there is no uniform shape. Different from the problem solved by the present invention
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0056] Concrete flow process of the present invention is as follows, as figure 1 Shown:
[0057] Step 101, acquiring a nuclear magnetic resonance image, extracting reference images of multiple frames of the nuclear magnetic resonance image, labeling the image contour of each of the reference images, and obtaining contour labeling information;
[0058] Step 102, according to the contour annotation information, obtain the shape prior of each frame of the nuclear magnetic resonance image through shape interpolation, obtain the level set of each frame of the nuclear magnetic resonance image, and obtain the level set by the following formula :
[0059] Φ shapeprior = d 2 Φ top + d 1 Φ bottom d ...
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
Login to View More Abstract
The invention discloses an image segmentation and reconstruction method and system based on nuclear magnetic resonance image sequences, and relate to the field of image segmentation and reconstruction. The method includes the steps of obtaining nuclear magnetic resonance images, extracting reference images in a plurality of frames of the nuclear magnetic resonance images, annotating image contours of the reference images, and obtaining contour annotation information; according to the contour annotation information, obtaining shape priorities of images in the multiple frames of the nuclear magnetic resonance images through the shape interpolation; according to the contour annotation information and the shape priorities, obtaining initial contour information of the images, except for the reference images, in the multiple frames of the nuclear magnetic resonance images through particle filtering, wherein the initial contour information comprises forward particle filtering results and backward particle filtering results of the images in the multiple frames; according to the forward particle filtering results and the backward particle filtering results, obtaining final contour information of the images in of the multiple frames through the distance interpolation.
Description
technical field [0001] The invention relates to the field of image segmentation and reconstruction, in particular to an image segmentation and reconstruction method and system based on nuclear magnetic resonance image sequences. Background technique [0002] Magnetic resonance imaging can detect and draw structural images inside an object through electronic waves emitted by a magnetic field. Magnetic resonance imaging is used to image the internal structure of objects, making it play an important role in scientific research. After MRI images have obtained internal images of tissues, how to identify specific tissues has become an urgent problem to be solved. [0003] For example, the difficulty of image segmentation and reconstruction of muscle tissue based on MRI images is that the boundary between the muscle tissue to be segmented and the surrounding tissue is not clear enough, and the edge features of the image cannot be used to complete the segmentation of the entire musc...
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
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00
Inventor 夏时洪吕晓磊
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI