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Cornell University

A Minimally Invasive Ultrasound Therapy Based On Time- Reversal Acoustics For The Treatment Of Deep Vein Thrombosis

Abstract

dc:description.abstract

Deep Vein Thrombosis is a clotting disorder that usually leads to the formation of clots in veins deep within the legs. Deep Vein Thrombosis generally leads to a life threatening condition called pulmonary embolism where the clot breaks away and blocks the arteries of lungs. DVT affects about 600,000 people in United States and causes approximately 300,000 deaths per year. Traditional DVT treatments have relied on using anticoagulants to prevent the recurrence of DVT but not in its treatment. Here we have developed a minimally invasive model that uses low-powered ultrasound as a therapeutic aid. We have used the principles of time-reversal acoustics to develop an ultrasound modality that thrombolyses the clot without the aid of any thrombolytic. We hypothesize that this modality would aid in the development of a treatment methodology that would reduce the dosage of thrombolytics and anti -coagulants without reducing the efficacy of treating the thrombus.

Degree

thesis:*
Name thesis:degree_name
M.S., Biomedical Engineering
Level thesis:degree_level
Master of Science
Discipline thesis:degree_discipline
Biomedical Engineering
Grantor
Cornell University
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gurram, Adithya
Committee member dc:contributor.committeemember
  • Doerschuk, Peter

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1813/33813
OAI identifier oai:identifier
oai:ecommons.cornell.edu:1813/33813

Chain of custody

source
Harvested from
Cornell University
Base URL
ecommons.cornell.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Gurram, Adithya. A Minimally Invasive Ultrasound Therapy Based On Time- Reversal Acoustics For The Treatment Of Deep Vein Thrombosis. Master of Science thesis, Cornell University, 2013. https://hdl.handle.net/1813/33813