Site Home
Contact Us
å

iDEA: DREXEL LIBRARIES E-REPOSITORY AND ARCHIVES

iDEA: DREXEL LIBRARIES E-REPOSITORY AND ARCHIVES

Main sections

Registration of Human Breast Mammography and Ultrasonography for Improved Breast Cancer Detection

Details
Title
Registration of Human Breast Mammography and Ultrasonography for Improved Breast Cancer Detection
Author(s)
Schabdach, Jenna Marie
Advisor(s)
Shackleford, James
Keywords
Electrical engineering; Image registration; Breast--Cancer--Diagnosis; Breast--Radiography; Ultrasonic imaging
Date
2016-05
Publisher
Drexel University
Thesis
M.S., Electrical Engineering -- Drexel University, 2016
Abstract
Breast cancer is the second leading cause of death for women in the United States. In 2016 alone, over 250,000 new patients will be diagnosed and over 40,000 will die from some form of breast cancer. The current standard of care for breast cancer screening is primarily dependent on mammography. Magnetic resonance imaging (MRI) is extremely valuable for diagnosing patients who have dense or scarred breast tissue; however, the integration of MRI into breast cancer screening can be difficult. Radiographic alternatives to MRI are avoided to prevent risks associated with increased radiation exposure. Volumetric ultrasonic imaging, while inadequate for standalone screening, is a potential solution for complex screening cases if the modality can be fused with mammography scans. The additional information provided by volumetric ultrasound data allows for clearer discrimination between soft tissues possessing similar radiographic densities. This project aims to fuse volumetric ultrasound images with mammography scans by developing a new registration algorithm. This algorithm first reduces the dimensionality of the volumetric ultrasound to that of the target mammography projection. The ultrasound projections are then used to align the ultrasound volume and mammography images in three dimensional space and account for differences in deformation between the two modalities by framing the global and local registrations as an optimization problem.
URI
http://hdl.handle.net/1860/idea:6905
In Collections
Theses, Dissertations, and Projects

Search iDEA

Advanced Search