Kinetic Characterization and Mapping for Whole-body Molecular Image Retrieval

Summary

In vivo kinetic behaviour characterization and dynamic holistic mapping for efficient dual-modality whole-body molecular imaging data retrieval.

Supervisor(s)

Professor David Feng, Associate Professor Tom Weidong Cai

Research Location

Information Technologies

Program Type

N/A

Synopsis

Modern biomedical molecular imaging such as whole-body F-18 fluorodeoxyglucose positron emission tomography (FDG-PET) imaging is being increasingly utilized to exploit in vivo specific physiological functions and biochemical pathways at the molecular level, with the expression and activity of specific molecules (e.g., proteases and protein kinases) and biological processes (e.g., apoptosis, angiogenesis, and metastasis), and has resulted in its use for characterizing lesions that are indeterminate by conventional anatomical imaging modalities, for staging the distribution of disease, and for determining the effects of therapy and prognosis.This project aims to develop molecular feature extraction approaches with PET-based kinetic behavior characterization in different activity levels and computed tomography (CT)-based dynamic mapping on entire body, separate organs, subunits of organs, or other functional units that are expected to exhibit similar physiological pattern and temporal variation, for efficient whole-body molecular imaging data retrieval via accurately quantify a variety of physiological events such as glucose metabolism, DNA synthesis and drug uptake, together with improved localization of abnormalities, and potentially paving the way for disease diagnosis, treatment selection / response, and future drug evaluation and development.

Want to find out more?

Contact us to find out what’s involved in applying for a PhD. Domestic students and International students

Contact Research Expert to find out more about participating in this opportunity.

Browse for other opportunities within the Information Technologies .

Keywords

Computer Applications, Life and medical sciences, Molecular imaging, Kinetic modeling and analysis, Physiological feature extraction, Positron emission tomography (PET), Computed tomography (CT), Content-based image retrieval, Computer assisted diagnosis (CAD)

Opportunity ID

The opportunity ID for this research opportunity is: 313

Other opportunities with Professor David Feng

Other opportunities with Associate Professor Tom Weidong Cai