深医讲座论坛

【深医讲坛第14讲】--Image-based Cerebrovascular Modeling for Advanced Diagnosis and  Interventional Planning

文章来源: 作者: 发布时间:2020年01月02日 点击数: 字体:

 

题  目:Image-based Cerebrovascular Modeling for Advanced Diagnosis and  Interventional Planning

主讲嘉宾:Alejandro Federico Frangi教授

时  间:20200110日下午10:00-11:30

地  点:澳彩彩票官方网站西丽校区A6-701会议室

主 持 人:雷柏英 副教授

报告简介(Abstract):

Current technological progress in multidimensional and multimodal acquisition of biomedical data enables detailed investigation of the individual health status that should underpin improved patient diagnosis and treatment outcome. However, the abundance of biomedical information has not always been translated directly in improved healthcare. It rather increases the current information deluge and desperately calls for more holistic ways to analyse and assimilate patient data in an effective manner.

The Virtual Physiological Human aims at developing the framework and tools that would ultimately enable such integrated investigation of the human body and rendering methods for personalized and predictive medicine.

This lecture will focus on and illustrate two specific aspects: a) how the integration of biomedical imaging and sensing, signal and image computing and computational physiology are essential components in addressing this personalized, predictive and integrative healthcare challenge, and b) how such principles could be put at work to address specific clinical questions in the cardiovascular domain.

Finally, this lecture will also underline the important role of model validation as a key to translational success and how such validations span from technical validation of specific modeling components to clinical assessment of the effectiveness of the proposed tools. To conclude, the talk will outline some of the areas where current research efforts fall short in the VPH domain and that will possibly receive further investigation in the upcoming years.

 

主讲嘉宾简介:

Alejandro F. Frangi,博士,英国利兹大学计算机学院和医学院教授,Diamond Jubilee Chair in Computational Medicine, Royal Academy of Engineering Chair in Emerging Technologies,利兹大学生物医学图像计算和建模技术中心主任。他是英国工程与物理科学研究委员会(EPSRC2006-10)的外籍成员,2006年获得IEEE工程医学和生物学早期职业奖,ICT知识转移奖(2008年)和Pompeu Fabra大学社会理事会颁发的两项教学卓越奖(2008年,2010年)。2008年,他获得了ICREA颁发的学术奖。也是IEEE Fellow (2014)EAMBES Fellow (2015)SPIE高级会员、SIAM成员、MICCAI成员,并当选医学图像计算和计算机辅助干预(MICCAI)学会(2014-2018)董事会成员。Alejandro F. Frangi在欧洲生物医学成像研究所(EIBIR)的科学顾问委员会任职,并担任IEEE EMBS(2017)年研究委员会主席。Alejandro F. Frangi在生物医学领域贡献突出。在IEEE Transactions Pattern Analysis and Machine IntelligenceIEEE Transactions on Medical ImagingMedical Image Analysis等国际期刊上发表学术论文200多篇,攥写了15篇专著和10余篇专利。