Motion correction in dynamic contrast-enhanced magnetic resonance images using pharmacokinetic modeling

Mia Mojica; Mehran Ebrahimi

doi:10.1117/12.2580973

15 February 2021 Motion correction in dynamic contrast-enhanced magnetic resonance images using pharmacokinetic modeling

Mia Mojica, Mehran Ebrahimi

Author Affiliations +

Proceedings Volume 11596, Medical Imaging 2021: Image Processing; 115962S (2021) https://doi.org/10.1117/12.2580973
Event: SPIE Medical Imaging, 2021, Online Only

Conference Poster

Abstract

Pharmacokinetic modeling is a mathematical modeling technique that examines the dynamics of concentration curves to reveal information about tissue microvasculature. Typically, image registration is performed as a pre- processing step to remove motion in dynamic contrast-enhanced (DCE) image sequences and ensure accurate pharmacokinetic analysis. In this work, we introduce a registration method for correcting motion in a sequence of DCE images. The proposed method involves the use of Tofts pharmacokinetic model to generate a sequence of reference images. These images simplify the challenging task of registering DCE images by pairing each frame in the motion- corrupted sequence with a reference image that resembles the overall contrast enhancement of the template. Abdominal DCE-MR images were used for validation. Reduction of motion in the registered sequence was observed both visually and quantitatively. Both global and local measures of registration accuracy obtained from the registered sequence and its associated signal intensity curves were smaller than their pre-registration counterparts.

Conference Presentation

Citation Download Citation

Mia Mojica and Mehran Ebrahimi "Motion correction in dynamic contrast-enhanced magnetic resonance images using pharmacokinetic modeling", Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115962S (15 February 2021); https://doi.org/10.1117/12.2580973

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available