ANATOMIC MORPHOLOGIC ANALYSIS OF MR BRAIN IMAGES
ANATOMIC MORPHOLOGIC ANALYSIS OF MR BRAIN IMAGES
批准号:
6393721
负责人:
David Nelson Kennedy
金额:
$39.68万
依托单位国家:
美国
项目类别:
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-09-30 至 2002-08-31
关键词:
bioimaging /biomedical imaging brain disorder diagnosis brain metabolism brain neoplasms cerebrovascular disorder diagnosis classification computer assisted diagnosis computer program /software computer simulation computer system design /evaluation diagnosis design /evaluation functional magnetic resonance imaging human data image processing neoplasm /cancer diagnosis neuroanatomy stroke
中文摘要
描述(改编自申请人摘要):
英文摘要
DESCRIPTION (Adapted from applicant's abstract): The morphology of the
human brain is exceptionally complex; reflecting a myriad of inextricably
intertwined systems of neuronal cell bodies, axons and other components.
Groupings of neural components which share common structural or functional
properties comprise the structural and functional neuroanatomic framework of
the brain. Characterization of the morphologic properties of the brain and
its component parts by state-of-the-art MRI is well suited to permit a
quantitative study of the parameters relevant to the structural and
functional makeup of the human brain in vivo. The goal of this project is
to continue development of tools and methods for the precise quantitative
analysis of brain morphology in health and disease, and to disseminate the
tools and results of the application of these tools to the neuroscience
community as a whole. Specifically, this project will: (1) extend
previously developed pixel segmentation and morphological quantification
methods to time-domain (functional MRI) and tensor-valued
(diffusion-weighted MRI), continuing efforts to develop a unified
neuroanatomic segmentation framework, and transition these tools to clinical
applications on a routinely available software platform; (2) characterize
shape and shape change metrics in normal subjects and pathological patient
populations; and (3) dissemination of segmentation tools and comparison
methods, as well as the results of image segmentation and volumetric
analysis to the community as a whole using the World Wide Web.
This proposal continues to take advantage of several unique aspects which
distinguishes it from other related work. First, a unified framework for
segmentation and classification in support of a neurologically-based
anatomic morphology has begun to emerge. Second, this unified framework
incorporates the multispectral nature of MRI data. Third, this framework
intrinsically includes estimates of the resulting underlying uncertainty
associated with the segmentation and classification process which supports a
rational assessment of sensitivity of a given method. Fourth, this approach
expands upon traditional "static" image analysis by incorporation of
shape-based analysis for anomaly detection. In addition, several clinical
application areas were identified which, in addition to fostering enhanced
analytic capabilities to studies in these areas, permits optimization of
operational efficiency in the resulting analysis. Specifically, the
segmentation, classification and shape analysis of MRI data in patients with
Huntington's Disease, stroke, and central nervous system neoplasms, as well
as the appropriate normative subjects, provide a vital testbed for the
evaluation of the clinical utility of these morphological analysis
techniques.
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依托单位:
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依托单位:
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依托单位:
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