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Medical image processing device and medical image processing method

A medical image and processing device technology, applied in image data processing, image analysis, image enhancement, etc., can solve the problems that it is not easy to obtain high-quality blood oxygen level-dependent functional magnetic resonance imaging, and has no correlation

Active Publication Date: 2022-03-01
TOSHIBA MEDICAL SYST CORP
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

This set is a collection of fiber bundles that pass through a certain region of interest and whose anisotropy exceeds a specified threshold, but these fiber bundles are only correlated in position but not in function, so they cannot Obtain functional classification of fiber bundles while extracting fiber bundles
[0008] In addition, in the prior art, the results of blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) are usually used to obtain regions of interest and thus track fiber bundles. Not only the results of blood oxygen level-dependent functional magnetic resonance imaging need to be obtained, but also High-quality blood oxygen level-dependent fMRI results are not readily available in practice

Method used

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  • Medical image processing device and medical image processing method
  • Medical image processing device and medical image processing method

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no. 1 approach

[0041] figure 1 It is a block diagram showing the configuration of the image processing device according to the first embodiment of the present invention.

[0042] Such as figure 1 As shown, the medical image processing device 100 includes an extraction unit 101 , a first conversion unit 102 , an analysis unit 103 , a second conversion unit 104 and a display processing unit 105 .

[0043] The extraction unit 101 extracts positional information of nerve distribution from the subject data. The subject data include fiber bundle images. The fiber bundle image is a nerve fiber image related to a nerve fiber bundle in the subject's brain. The fiber tract image is generated, for example, by applying a fiber tract tracking technique to a diffusion tensor image generated by imaging the subject's brain. Diffusion tensor imaging enables the assessment of the integrity of white matter fiber tracts by imaging the diffusion properties of water molecules. Current diffusion tensor imagin...

no. 2 approach

[0074] The second embodiment is a modified example of the first embodiment. The difference between the second embodiment and the first embodiment is that in the second embodiment, the medical image processing device 200 also processes the tumor image in the subject data, so as to determine the nerve fibers of the subject affected by the tumor. bundle and display it. In addition, in this embodiment, a tumor is described as an example of an affected part, but actually the affected part may be other conditions, such as trauma, blood clot, and the like.

[0075] The extraction unit 201, the first conversion unit 202, the analysis unit 203, the second conversion unit 204, and the display processing unit 205 in the medical image processing apparatus 200 of the second embodiment are the same as the extraction unit 101 and the first conversion unit 102 of the first embodiment. , the analysis unit 103 , and the second conversion unit 104 have additional functions compared to the displ...

no. 3 approach

[0102] After the region of interest is converted into object data by the second converting unit 204, fiber bundles that conform to the logical relationship of each region of interest cannot be found sometimes. For example, if Figure 10 As shown, in the case where the tumor region shifts the fiber bundle, the region of interest B converted into the subject data exists inside the tumor region E, and at this time, it can be observed that the fiber bundle X1 is shifted by the tumor region E , and did not pass through the fiber bundle of the region of interest B in the tumor region E. However, the functional fiber bundles need to be jointly determined according to the regions of interest A, B, and C, that is, the affected functional fiber bundles cannot be uniquely determined only according to the regions of interest A and C located outside the tumor region E .

[0103] The third embodiment is a modified example of the second embodiment. The medical image processing apparatus o...

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Abstract

A medical image processing device capable of obtaining functional classification of functional regions corresponding to nerve fiber bundles without using the results of blood oxygen level-dependent functional magnetic resonance imaging. The medical image processing device includes: an extraction unit that extracts position information of nerve distribution from subject data; a first conversion unit that converts the subject nerve region based on the extracted position information into atlas data; and an analysis unit , analyzing the positional relationship between the functional regions in the brain in the atlas data and the converted neural regions of the subject; and the second converting unit, sending the analysis results of the analyzing unit to the subject data conversion.

Description

technical field [0001] The present invention relates to a medical image processing device and a medical image processing method for displaying affected nerve fiber bundles by analyzing the positions of nerve fiber bundles and affected parts. Background technique [0002] In recent years, with the development of image recognition technology, technology that analyzes the positional relationship between nerve fiber bundles and affected parts captured in medical images has attracted attention. [0003] Many brain diseases can affect the deformation of white matter fibers, such as deformation such as blocking, infiltration or extrusion. Understanding these changes can provide useful information for neurosurgery, especially in the case of infiltration, where the extent of resection is closely related to prognosis. In fact, highly invasive lesions can greatly alter the morphology and impair the function of infiltrated white matter fibers, while low-invasive tumors may simply displ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00A61B5/055
CPCA61B5/055G06T7/0012G06T2207/10088G06T2207/20104G06T2207/30016G06T2207/30096
Inventor 李冰原晓伟张金标刘晶
Owner TOSHIBA MEDICAL SYST CORP
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