Electronic Theses and Dissertations



Document Type


Degree Name

Master of Science


Biomedical Engineering

Committee Chair

Carl Herickhoff

Committee Member

Aaryani Tipirneni-Sajja

Committee Member

Bradford Pendley

Committee Member

Brent Hoffmeister


Ultrasound localization microscopy (ULM) is a super-resolution vascular imaging technique that tracks the position of individual circulating microbubbles over time. Conventional ULM methods fit a gaussian distribution to a coarsely-pixelated brightness image of a microbubble, and assume the microbubble's position is the mean. In this work, we developed alternative algorithms to precisely and accurately estimate the location of a microbubble by considering multiple even and odd receive apodization profiles applied to channel RF data. These receive apodization profiles each yield a point spread function with a unique lateral character, enabling intra-beam determination of a scatterer's location. Algorithms were refined and evaluated first for the case of focused-beam transmits over a range of F-numbers, and also for the case of ultrafast, multi-angle plane-wave compounding. The performance of the algorithms was experimentally evaluated on a research ultrasound scanner using a P4-2v phased array probe and a custom wire-target phantom. Results show that the position of the scatterer was resolvable to less than one-fourth of the diffraction limited resolution.


Data is provided by the student.

Library Comment

Dissertation or thesis originally submitted to ProQuest.


Open access