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Measuring method of volume of intracranial hematoma

A technology for intracranial hematoma and volume, applied in image data processing, instruments, calculations, etc., can solve the problems of satisfactory image segmentation results and no segmentation results, and achieve the effect of eliminating interference and suppressing noise

Inactive Publication Date: 2010-06-30
曹淑兰
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AI Technical Summary

Problems solved by technology

However, due to the complexity of medical images and the differences between different individuals, at present, no segmentation algorithm can produce satisfactory segmentation results for all images, and at the same time, there is no specific type of image that can make all algorithms can obtain equally good segmentation results

Method used

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Experimental program
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Embodiment Construction

[0009] 1. A nonlinear anisotropic diffusion filter is used to filter the brain image.

[0010] 2. Two-step segmentation of the image:

[0011] 1) Using the threshold method and image "exclusive OR" and "multiplication" logic operations, an image with only brain tissue and hematoma was obtained, and the skull and non-brain tissue outside the skull were removed.

[0012] 2) The two-dimensional entropy thresholding method is used to segment the image with the pixel grayscale and its neighborhood grayscale as parameters, and the brain tissue is removed to obtain an image with only hematoma. Here, in order to prevent the huge amount of calculation, the hierarchical genetic algorithm is used to search for the optimal threshold, and the theory of "adaptive large mutation operator" is proposed.

[0013] 3. Measure the volume of hematoma: Among them: n number of hematoma image layers, V i = S i × layer thickness, S i = pixel size × number.

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Abstract

The invention uses non-linear anisotropic diffusion filter to pre-treat the image based on the character of intracranial hematoma image, effectively removes noise and artefect and meeting the actual need of medical image treatment, adopts two-step image cutting process to skilfully remove the skull and non-brain tissue without image registering, guides the idea of entropy into the image cutting process to realize the two-dimensional entropy thresholding, adopts pixel grey and neighbourhood grey as parameters to cut the image. The invention reflects the grey information distribution and the image pixel neighborhood space related information, thereby effectively restraining the noise and removing the obstruction and unnecessary small structures; the operator of genetic algorithm is improved, and particularly the prematurity of genetic algorithm is prevented; and the self-adapting big variable operator is adopted to search the best threshold value by modified delaminated genetic algorithm.

Description

technical field [0001] The research on the intracranial hematoma volume measurement method of the present invention is to convert the clinical requirement of intracranial hematoma volume measurement into the image hematoma segmentation problem, and propose a new segmentation algorithm, which belongs to the field of clinical application software. Background technique [0002] Brain injury leads to intracranial hemorrhage, and when blood accumulates in the brain to a certain volume, an intracranial hematoma is formed. Usually, a supratenorial hematoma of more than 20ml and an infratentorial blood volume of more than 10ml can cause symptoms of acute craniocerebral compression, which can be life-threatening. Hypertensive cerebral hemorrhage of more than 30ml is a disease with a high morbidity and disability rate in middle-aged and elderly people. Generally, the hematoma on the tentorium is more than 30ml, and the hematoma on the infratentorial is more than 10ml. Combined with ot...

Claims

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Application Information

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IPC IPC(8): A61B6/03G06T7/00
Inventor 曹淑兰
Owner 曹淑兰
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