WEBVTT
Kind: captions
Language: en

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Finally, we will conclude the topic.

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The software using proposed computer-assisted prompt evaluation technique

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can precisely calculate the actual percentage of different tissue components

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included in the nidus of cerebral AVM which we delineated in T2w imaging in Gamma plan.

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Higher the percentage of intervening brain parenchyma

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in the nidus of cerebral AVM is related to

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higher rate of adverse radiation effect after Gamma knife Radiosurgery.

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And about the lesional biomarkers of acute ischemic stroke,

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we proposed a computer-assisted segmentation and quantification method

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to depict cerebral infarct and white matter hyperintensities (WMH).

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The cerebral infarct and WMH volume were measured

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based on the histographic distribution of lesions

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to define self-adjusted intensity thresholds value using multispectral MRI.

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The proposed method attained high agreement with the semi-automatic method.

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For non-lesional biomarkers of neocortical epilepsy,

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a popular fiber-labeled MRI template

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was transformed to each subject’s neuroanatomy to generate personalized atlases

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for objective and automatic region-of-interest (ROI) demarcation.

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We investigated supratentorial white matter and subcortical gray matter structures

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from high-resolution raw structural images

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and diffusion tensor images with automatic ROI registrations in neocortical seizures.

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The automatic methods presented in this dissertation facilitates the exploration of lesional

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and non-lesional biomarkers of neurological disorders

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for assisting the clinical diagnosis,

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identifying the risk, and helping guide the treatment and prognosis of the diseases.

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Thank you for your attention.