Evaluation of a Novel Computer-Aided Diagnosis System for Non-Mass Enhancing Breast Lesions Based on Combination of Spatial and Temporal Information of MRI Scans

From Master Projects
Jump to: navigation, search


has title::Evaluation of a Novel Computer-Aided Diagnosis System for Non-Mass Enhancing Breast Lesions Based on Combination of Spatial and Temporal Information of MRI Scans
status: ongoing
Master: project within::Technical Artificial Intelligence
Student name: student name::Ngo Tien Dat
Dates
Start start date:=2011/02/01
End end date:=2011/07/31
Supervision
Supervisor: Wojtek_Kowalczyk
Company: has company::Florida State University
Poster: has poster::Media:Media:Posternaam.pdf

Signature supervisor



..................................

Abstract

Dynamic contrast-enhanced (DCE) breast MRI is being applied for detection, diagnosis, and staging of breast cancer. As breast DCE-MRI is recently recommended as a screening option of breast cancer for women at high risk, differentiation of malignant and benign tumors is becoming a more important function in breast DCE-MRI. Analyzing spatiotemporal enhancement patterns remains a challenging task because of the complex character of both kinetics and morphological aspects of these lesions. Methods such as shape-based analysis not relying on the precise boundary of the lesion and detecting representative kinetic time-series become imperative. We propose to apply modern state-of-the art-techniques to the segmentation, shape description and classification of these lesions.

Tasks:

1. Segmentation based either on continuous force analysis or dynamic texture segmentation or textons.

2. Preprocessing: Velocity Zernike moments

3. Classification and evaluation: SVM/Hidden Markov Models/Adaboost.

4. Writing down thesis.