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Method for identification of a contrasted blood vessel in digital image data

A contrast agent and blood vessel technology, applied in the field of identifying blood vessels filled with contrast agent, can solve the problems of small blood vessels and disappearance, and achieve the effect of improving the identification process and reducing the risk.

Inactive Publication Date: 2011-08-03
SIEMENS AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But the downside is that all those are recognized as correct but stronger than T min Smaller blood vessels, likewise disappear in the result

Method used

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  • Method for identification of a contrasted blood vessel in digital image data
  • Method for identification of a contrasted blood vessel in digital image data
  • Method for identification of a contrasted blood vessel in digital image data

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Embodiment Construction

[0063] figure 1 Shown as an extension according to the present invention Picture 9 The first embodiment of the prior art method. in figure 1 The so-called "whole" overflow recognition is performed in the. Figure 7 This overflow 84 in the blood vessel 82 is shown. The formation of overflow will be further elaborated below.

[0064] In order to identify overflow, figure 1 In the known as Picture 9 Two method phases 2a and 2b are embedded in the method. Method phase 2a is located between loop start points 302a and 304a. Method phase 2b is between step 314 and the end of the loop 304b. In the method stage 2a, set the numerical variable n to 0 in step 4, and calculate the currently effective seed point set SP in the variable N T The size of, that is, the number of seed points sp contained in it as |SP T |.

[0065] Then, proceed as Picture 9 The known method until step 314. Here, as described above, for the seed point set SP T The selected seed point sp detects all its neighb...

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Abstract

A method is disclosed for identification of a contrasted blood vessel in digital 3D image data. The method includes: a) one image voxel, which is associated with the blood vessel, in the 3D image data is selected as a seed point, b) a current threshold value for the intensity of image voxels is selected as the intensity of the seed point, and the seed point is associated with the threshold value,c) a test criterion for finding new seed points is used to search for new seed points in the image voxels which are adjacent to the seed point, and are associated with specific threshold values as a function of their intensities and the current threshold value, d) step c) is repeated until no further seed points can be found with the current threshold value, e) the seed points which have been found are stored as vessel voxels associated with that blood vessel, and are associated with the current threshold value, f) the current threshold value is reduced, g) steps c) to f) are repeated until atermination criterion is satisfied, h) the blood vessel is identified as the set of all vessel voxels in the image data, in which prior knowledge exists, on the basis of which a corresponding method step specifically linked to the blood vessel to be identified can lead to incorrect identification, and at least one of the method steps a) to h) is modified or extended, taking into account the priorknowledge.

Description

Technical field [0001] The invention relates to a method for identifying blood vessels filled with a contrast agent in digital image data obtained by 3D-angiography. Background technique [0002] Cardio-coronary vascular disease is one of the main causes of human death in the entire industrial society. In this case, the heart function defect is mainly caused by abnormal stenosis, that is, narrowing of the coronary arteries. This often leads to a life-threatening myocardial infarction. [0003] Recently, technological improvements in some methods such as Spiral-CT (Multislice Cardiac Computed Tomography-MSCT) have made it possible to produce three-dimensional images of the heart with high position resolution in the sub-millimeter range. Among them, within a time window of about 20 seconds, 64 parallel cross-sectional images, namely layers, are taken in the patient's body, such as the chest cavity containing the heart. In particular, the coronary arteries are visualized by intrave...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B6/12A61B6/00G06K9/70A61B6/03
CPCG06T7/0081G06T2207/30101G06T7/11
Inventor 迈克尔·朔伊林迈克尔·苏林
Owner SIEMENS AG