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Computational Morphometry of the Developing Cortex

Computational Morphometry of the Developing Cortex
发育中皮层的计算形态测量
批准号:
EP/F011830/1
负责人:
Daniel Rueckert
金额:
$73.02万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2008
资助国家:
英国
项目状态:
已结题
起止时间:
2008 至 --

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中文摘要
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英文摘要
Preterm birth is a major cause of neuropsychiatric impairment in childhood and leads to significant long-term clinical, educational and social problems. The incidence of preterm birth and low birth weight has increased over the last decade in industrialised countries, and preterm delivery has a higher prevalence among the unemployed, poorly educated and the politically disenfranchised. The burden of impairment is considerable: half of all surviving infants born at 25 weeks or less show neurodevelopmental impairment at 30 months of age, and these problems persist into later life. Even among less immature infants over one third develop neurocognitive and behavioural deficits, including Attention Deficit Hyperactivity Disorder, learning disability and behavioural disorders which can have devastating consequences for the individuals and their families.The purpose of this project is to develop the computational tools necessary to determine quantitative metrics of cortical development during the third trimester of pregnancy and in the subsequent neonatal period. For this purpose we will develop a spatio-temporal model of the human cerebral cortex during the early phase of brain development up to and including birth. This will enable us to detect differences in cortical development in-utero and ex-utero and to correlate cortical development with neuro-cognitive outcome data. This project is a collaboration between computer scientists, physicists and clinicians, and the research will lead a deeper understanding of the early phase of human brain development. It will also provide metrics and biomarkers for therapeutic interventions in the vulnerable population of infants born prematurely.
期刊论文(10)
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会议论文
Construction of a dynamic 4D probabilistic atlas for the developing brain
为发育中的大脑构建动态 4D 概率图谱
DOI: 10.1109/isbi.2010.5490145
发表时间: 2010
期刊:
影响因子: --
作者: [Murgasova M]
通讯作者: Murgasova M
Robust segmentation of brain structures in MRI
MRI 中大脑结构的稳健分割
DOI: 10.1109/isbi.2009.5192972
发表时间: 2009
期刊:
影响因子: --
作者: [Murgasova M]
通讯作者: Murgasova M
Efficient and Robust Assessment of Cardiovascular Disease Using Machine Learning and Ultrasound Imaging
  • 批准号:
    EP/R005982/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $50.71万
  • 财政年份:
    2018
  • 负责人:
    Daniel Rueckert
  • 依托单位:
SmartHeart: Next-generation cardiovascular healthcare via integrated image acquisition, reconstruction, analysis and learning
  • 批准号:
    EP/P001009/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $669.43万
  • 财政年份:
    2016
  • 负责人:
    Daniel Rueckert
  • 依托单位:
Using Machine Learning to Identify Noninvasive Motion-Based Biomarkers of Cardiac Function
  • 批准号:
    EP/K030523/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $39.88万
  • 财政年份:
    2013
  • 负责人:
    Daniel Rueckert
  • 依托单位:
Biomedical Catalyst – Digital Healthcare Platform for Early Dementia Diagnosis
  • 批准号:
    MC_PC_13034
  • 项目类别:
    Research Grant
  • 资助金额:
    $44.07万
  • 财政年份:
    2012
  • 负责人:
    Daniel Rueckert
  • 依托单位:
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