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Automatic retrieval method of key frame in IVUS video

An automatic retrieval and key frame technology, applied in the field of medical imaging, can solve the problems of little application value, high algorithm time and space complexity, and low retrieval efficiency

Active Publication Date: 2015-09-09
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

However, due to the generally high time and space complexity of the algorithm, the retrieval efficiency is not high, and the practical application value is not great.

Method used

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  • Automatic retrieval method of key frame in IVUS video
  • Automatic retrieval method of key frame in IVUS video
  • Automatic retrieval method of key frame in IVUS video

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Embodiment Construction

[0051] The present invention provides an automatic retrieval method for key frames in intravascular ultrasound video. The method quickly extracts frames that record the positions of major morphological changes in blood vessels by analyzing the grayscale features of IVUS images, such as plaque segments, stent segments, or The start frame and the end frame of the blood vessel bifurcation ensure that the selected key frame represents the content information of the original video to the greatest extent, and the method includes the following steps:

[0052] 1. Speckle denoising:

[0053] Due to the high ultrasonic frequency characteristics of intravascular ultrasound imaging equipment, there is a large amount of blood speckle noise in IVUS images. In order to reduce the noise while retaining the detailed information in the image, the Speckle Reducing Anisotropic Diffusion (SRAD) is firstly used. ) algorithm (Yu Yongjian and Acton Scott T. Speckle reducing anisotropic diffusion. IEE...

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Abstract

The invention provides an automatic retrieval method of a key frame in an IVUS (Intravascular Ultrasound) video. According to the method, firstly, each frame of image is subjected to SRAD (Speckle Reducing Anisotropic Diffusion) filtering; then, on the basis of performing grayscale stretch on the filtered images, a grey level histogram of each frame of image is calculated to obtain a 256-dimension normalized grayscale feature vector; then, the Bhattacharyya distance between the adjacent frame of scale feature vectors is calculated to be used as the measure on the similarity of adjacent frames of images; and finally, the Bhattacharyya distance between the adjacent frame grayscale feature vectors is compared with a set threshold value, and the extraction of the key frame is completed. The automatic retrieval method has the advantages that the fast extraction of the key frame in the IVUS video is realized through analyzing the grayscale features of the IVUS images; a tester can be helped to fast locate the variation or foreign object implanted position; and reliable information is provided for the processing and the evaluation of vascular mutation.

Description

technical field [0001] The invention relates to a method for automatically retrieving key frames from intravascular ultrasound video according to image content, and belongs to the technical field of medical imaging. Background technique [0002] Intravascular ultrasound (IVUS) is an intravascular imaging technique that can describe the complex anatomical structure of the vessel wall. In addition to evaluating the degree of lumen stenosis, it can further detect the vulnerability and plaque of atherosclerotic plaque. Mass loading plays a crucial role in the research and testing evaluation of vascular lesions, especially coronary atherosclerotic lesions. [0003] The key frame of IVUS video refers to the frame that records the position of major morphological changes of blood vessels. The detection of key frames in IVUS video has two functions: first, when the catheter is retracted, the number of frames in which the vessel shape changes significantly is far less than the total ...

Claims

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Application Information

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IPC IPC(8): G06T7/00A61B8/00
Inventor 孙正王立欣
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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