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Method for segmenting blood pool in diastasis image in heart cardiac function magnetic resonance image

A magnetic resonance image, end-diastolic technology, applied in the field of medical images, can solve the problems of complexity and low efficiency

Active Publication Date: 2017-06-30
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Benefits of technology

The present invent describes an improved way for determining which phase or part of the heart's cycle should take place during cardiac surgery (end-diastolysis). This helps improve patient outcomes while reducing complications such as bleeding from damaged vessels caused by excessive pressure on surrounding tissues.

Problems solved by technology

This patented technical problem addressed in this patents relates to accurately extracting heart functions (cardia) characteristics during medical imagings due to variations between different individuals or conditions that may affect their ability to perform certain procedures correctly.

Method used

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  • Method for segmenting blood pool in diastasis image in heart cardiac function magnetic resonance image
  • Method for segmenting blood pool in diastasis image in heart cardiac function magnetic resonance image
  • Method for segmenting blood pool in diastasis image in heart cardiac function magnetic resonance image

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Embodiment Construction

[0041] see figure 1 -3, a method for segmenting the blood pool in the end-diastolic image of cardiac functional magnetic resonance image in the embodiment of the present invention, comprising the following steps:

[0042] Acquire cardiac magnetic resonance images containing several slices of left ventricular myocardium at different cardiac phases I NP , where N represents the sequence number of the slice, P represents the sequence number of the cardiac phase (phase), and N and P are integers greater than or equal to 1;

[0043] MRI images corresponding to each cardiac phase in the middle slice I MP Above, set the initial region of interest, calculate the maximum intensity projection image (MIP) of the initial region of interest on all cardiac phases (P cardiac phases), cluster and segment the maximum intensity projection image (MIP), and select the roundness The largest area A; the preferred clustering and segmentation method is the fuzzy C-means clustering method;

[0044]...

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Abstract

The invention discloses a method for segmenting a blood pool in a diastasis image in a heart cardiac function magnetic resonance image. The method comprises obtaining heart magnetic resonance images I<NP> including several lamellas of the left ventricular myocardium and in different cardiac cycle phases; in the magnetic resonance image I<MP> corresponding to each cardiac cycle phase of the intermediate lamella, calculating the maximum-strength projection image of an initial region-of-interest in all cardiac cycle phases, carrying out cluster segmentation on the maximum-strength projection image, and selecting a region A with the biggest circular degree; calculating the image average gray value of the magnetic resonance image I<MP> corresponding to each cardiac cycle phase of the intermediate lamella in the region A, and making the magnetic resonance image I<MP> having the maximum average gray value be the magnetic resonance image I<MP(ED)> corresponding to the diastasis of the intermediate lamella; segmenting the magnetic resonance images of the lamellas from the intermediate lamella to the cardiac apex lamella and the cardiac base lamella, and completing segmentation of the blood pool in the magnetic resonance image I<NP(ED)> in the diastasis.

Description

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Claims

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Application Information

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Owner SHANGHAI UNITED IMAGING HEALTHCARE
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