Deformable Registration for Temporal Lung Volumes

Summary

Integration and comparison heterogeneous information embedded in the multi-modal imaging data volumes acquired from multiple times for detecting lung disease at early stage and accessing treatment response.

Supervisor(s)

Professor David Feng, Dr Xiu Ying Wang

Research Location

Information Technologies

Program Type

N/A

Synopsis

Complex deformations of lungs due to involuntary motions of respiratory and cardiac processes pose particular challenges for generating accurate registration with improved performance and accelerated computation. This project is to address these issues by including local structural information to achieve more accurate and faster deformable registration for datasets obtained from modern advanced imaging systems. Automatic organ extraction and segmentation will be involved in this project.

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Keywords

Computer Applications, Life and medical sciences, Image registration, Multi-dimensional data processing, Multi-sensor imaging systems, Image processing, Image fusion, Biomedical imaging

Opportunity ID

The opportunity ID for this research opportunity is: 310

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