Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Lenk_Thesis.pdf (5.98 MB)

ETD Abstract Container

Abstract Header

Respiratory Motion Tracking in Magnetic Resonance Imaging with Pilot Tone Technology

Lenk, Mary Claire
http://rave.ohiolink.edu/etdc/view?acc_num=osu1531838630931375

Abstract Details

2018, Master of Science, Ohio State University, Electrical and Computer Engineering.
This thesis explores the hypothesis that Pilot Tone (PT) technology can encode respiratory induced motion of the heart to improve cardiac magnetic resonance (MR) imaging. Pilot tone technology is advantageous due to its high sampling rate to provide high temporal resolution in tracking and predicting respiration. Also, the PT signal has the potential to provide motion information without interrupting the pulse sequence to perform motion compensated scans. A prediction model is hypothesized to account for in-plane and through-plane motions due to respiration. A proof-of-concept experiment was designed to explore the ability of the PT signal to encode respiratory-induced motion. The PT signal was processed retrospectively offline and compared to a reference for respiratory motion. The two signals had a high correlation and show preliminary success for the PT to detect respiration. A linear filter was then designed to predict motion from a training phase using the same reference signal. The linear filter was successful with peak/trough locations between the prediction and the reference signal having a correlation coefficient of 0.9999 for end-expiration and end-inspiration prediction. Furthermore, a PT transmitter was designed and constructed for implementation of additional experiments. The transmitter was designed to be programmable, battery-powered, MR-safe, and portable for placement at various locations in the bore during scans.
Lee Potter (Advisor)
Rizwan Ahmad (Committee Member)
72 p.
Electrical Engineering
Pilot Tone; motion compensation; MRI; CMR

Recommended Citations

Citations

  • Lenk, M. C. (2018). Respiratory Motion Tracking in Magnetic Resonance Imaging with Pilot Tone Technology [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531838630931375

    APA Style (7th edition)

  • Lenk, Mary. Respiratory Motion Tracking in Magnetic Resonance Imaging with Pilot Tone Technology . 2018. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1531838630931375.

    MLA Style (8th edition)

  • Lenk, Mary. "Respiratory Motion Tracking in Magnetic Resonance Imaging with Pilot Tone Technology ." Master's thesis, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531838630931375

    Chicago Manual of Style (17th edition)

osu1531838630931375
862
© 2018, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.