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A normative dataset for neuropsychiatric disorders

A technology for standard data and parameters, applied in the field of standard datasets for neuropsychiatric diseases, which can solve problems such as lack of high-precision automated tools

Inactive Publication Date: 2012-12-26
KONINK PHILIPS ELECTRONICS NV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Currently, in most clinical centers, decisions about the morphology of brain structures are limited to subjective observation of MRI images due to the labor-intensive nature of manual segmentation of MRI brain volumes and the lack of highly accurate and time-effective automated tools

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  • A normative dataset for neuropsychiatric disorders
  • A normative dataset for neuropsychiatric disorders
  • A normative dataset for neuropsychiatric disorders

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Embodiment Construction

[0011] A further understanding of the exemplary embodiments may be obtained by referring to the following description and by referring to the accompanying drawings, wherein like reference numerals indicate similar elements. Exemplary embodiments relate to systems and methods for identifying abnormalities in the volume and shape of regions in the brain. In particular, the exemplary embodiment generates a three-dimensional segmentation of a patient's brain structure that is suitable for use on volumetric images such as MRI to compare the segmentation to standard datasets that include quantitative descriptions of the volume and shape of brain structures in healthy individuals. However, those skilled in the art will appreciate that although the exemplary embodiments specifically describe segmentation of brain structures, the systems and methods of the exemplary embodiments can be used to identify volumetric and shape anomalies in arbitrary anatomical 3D structures in volumetric ima...

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Abstract

A system and method for identifying an abnormality of an anatomical structure. The system and method segments, using a processor, the anatomical structure imaged in a volumetric image of a plurality of control patients to produce a control segmentation of the anatomical structures of each of the control patients, obtains a normative dataset by extracting a statistical representation of a morphology of the control segmentations, segments the anatomical structure of a patient being analyzed for abnormalities to produce a patient segmentation and compares the patient segmentation to the normative dataset obtained from the control segmentations.

Description

Background technique [0001] Many common neuropsychiatric disorders (eg, Alzheimer's disease, schizophrenia, depression) may present as multiple distinct disorders that are clinically similar but respond differently to treatment. These intrinsic differences may reflect distinct disease-specific neural substrates. Thus, rapid identification of volume and shape abnormalities in specific brain regions associated with the neuropathophysiology of these diseases will be useful for delineating disease subtypes and likely improving treatment outcomes. Identifying individuals with psychiatric and neurological disorders before their full onset of symptoms would allow for early intervention strategies aimed at preventing episodes altogether and / or improving their long-term course. [0002] Currently, in most clinical centers, decisions about the morphology of brain structures are limited to subjective observation of MRI images because of the labor-intensive nature of manual segmentation ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T2207/10081G06T2207/10132G06T2207/30016G06T7/0012
Inventor L·G·扎戈尔谢夫R·克内泽尔D·格勒钱悦晨J·威斯M·A·加尔林豪斯R·M·罗思T·W·麦卡利斯特
Owner KONINK PHILIPS ELECTRONICS NV