【数学与统计及交叉学科前沿论坛------高端学术讲座第170场】

报告题目：Statistical Analysis of Diagnostic Medical Imaging Data

报 告 人：芬巴教授 爱尔兰科克大学

报告时间：2025年11月3日周一15:30—16:30

报告地点：阜成路综合楼一层报告厅

报告摘要：The field of Statistics and Data Science is increasingly focused on methodologies for detailed analysis of large scale data sets. In a clinical diagnostic setting, CT/MR and PET scanners now play a key role in the management of stroke, cardiac arrest and cancer. Current scanners are often used to image target volumes dynamically in time. This can lead to 4-D data sets on the order of 30 Gbytes or more. However, patient physiology and dose considerations critically limit the statistical quality of these measurements. Consequently there is a substantial role for development of suitable methodologies for analysis. The evaluation of local biological properties of tissue from the data involves inference about a life-table based on indirectly observed information. The talk describes a multivariate data profiling technique for use in the recovery of monparametric life-tables estimates at the voxel-level. A data-adaptive bootstrapping process, accounting for distributional and spatio-temporal covariance characteristics, is used to generate patient-specific assessment of uncertainty in derived disease biomarkers. The consistency of this technique as a function of dose is discussed. Methods are illustrated by application to data from state-of-the-art scanners.

报告人简介：Finbarr O’Sullivan，教授，科克大学数学学院，William威廉William威廉客座教授，一直以来从事数据分析及反问题等方面研究。1979年在爱尔兰科克大学获得数学专业硕士，1983年在 威斯康星大学麦迪逊分校大学获统计专业博士学位。《Siam Journal Of Scientific And Statistical Computing》《Biostatistics》《Journal Of The American Statistical Association》编委，2013年-2017年担任科克大学数学科学学院经理。已发表论文90余篇。