Nidhi Khullar

Graduation Semester and Year

2011

Language

English

Document Type

Thesis

Degree Name

Master of Science in Electrical Engineering

Department

Electrical Engineering

First Advisor

Venkat Devarajan

Abstract

This thesis addresses needle segmentation in ultrasound images for breast cancer biopsy. The thesis reviews the state-of-the-art in object localization using ultrasound (US) imagery. In particular, principal component analysis, projection based methods (Hough Transform, Radon Transform and Parallel Integral Projection) and model fitting method using RANSAC and work in the field of diffusion filters are reviewed for potential use in a real breast biopsy environment, wherein the US imagery does not have much contrast and the speckle noise content is high. Other image artifacts in these images also mask the needle image.A new needle localization method called ANDSUI algorithm has been developed with focus on improved localization accuracy and computational complexity especially when the assumption "needle is brighter than background" fails such, in cases like needle is behind dense tissue. The new method and the state of the art methods have been compared to show that ANDSUI algorithm is superior.

Disciplines

Electrical and Computer Engineering | Engineering

Comments

Degree granted by The University of Texas at Arlington

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