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A brain white matter high signal detection and positioning method based on multiple maps

A technology of signal detection and positioning method, which is applied in the field of detection and positioning based on multi-atlas, can solve the problem of automatically measuring the high signal load of white matter, and achieve the effect of good detection accuracy and strong robustness

Active Publication Date: 2019-06-14
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

They usually yield measurements of whole-brain WH burden, but rarely automatically measure WM load in specific regions for systematic assessment of WH distribution

Method used

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  • A brain white matter high signal detection and positioning method based on multiple maps
  • A brain white matter high signal detection and positioning method based on multiple maps
  • A brain white matter high signal detection and positioning method based on multiple maps

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Embodiment

[0061] The above multi-atlas-based white matter hyperintensity detection and localization method was tested on the FLAIR data of 135 elderly subjects who were cognitively normal (n=113) or had mild cognitive impairment (n=113) twenty two). The FLAIR data of 15 cognitively normal individuals were selected as maps, and the remaining 120 were used for algorithm evaluation and analysis. Such as figure 1 As shown, the FLAIR atlas data of 15 individual subjects (only some subjects are shown in the figure) have different degrees of brain atrophy anatomical characteristics. For the specific method, refer to the above step 1, which will not be repeated here, and only the specific parameters here will be introduced below. The MRI scan was performed with a Philips Achieva 3.0T scanner; the FLAIR data was obtained using a multilayer fast spin-echo sequence, and the inversion recovery pulse inversion time (TI) / echo time (TE) / repetition time (TR) = 2800 / 100 / 11000ms, field of view (FOV) ...

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Abstract

The invention discloses a brain white matter high signal detection and positioning method based on multiple maps. The method comprises the following steps of firstly, establishing a multi-map libraryby using FLAIR data of brains of normal old people; secondly, registering the maps in the map library to a target image one by one, and using a multi-map fusion algorithm for fusion; and finally, realizing image segmentation according to a fusion result, and automatically detecting voxels with local abnormal intensity as white-quality high signals. According to the method, the while the brain white matter is segmented, the white matter high-signal area is also detected and positioned, the area is well matched with a manual description result, the higher accuracy and the precision are achieved,and the effect is superior to that of other white matter high-signal detection methods at present.

Description

technical field [0001] The present application relates to the field of brain magnetic resonance image processing, in particular to a multi-atlas-based detection and positioning method. Background technique [0002] White matter hyperintensities (WMH) are a common radiological feature on T2-weighted or FLAIR (fluid attenuated inversion recovery) MRI. White matter hyperintensities primarily reflect the extent and distribution of small vessel disease, and they become more common with age. Recent findings suggest that they may also be one of the core features of Alzheimer's disease as well as gray matter atrophy. [0003] It is important to consider the spatial distribution of white matter hyperintensities when evaluating patients with memory impairment. For example, periventricular white matter hyperintensity has a stronger association with cognitive ability than deep white matter hyperintensity; in the development of Alzheimer's disease, posterior white matter hyperintensity...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/73G06T7/11
Inventor 吴丹张祎舒敏
Owner ZHEJIANG UNIV
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