A new method for assessing PET-MRI coregistration

Christine DeLorenzo; Arno Klein; Arthur Mikhno; Neil Gray; Francesca Zanderigo; J. John Mann; Ramin V Parsey

doi:10.1117/12.812170

27 March 2009 A new method for assessing PET-MRI coregistration

Christine DeLorenzo, Arno Klein, Arthur Mikhno, Neil Gray, Francesca Zanderigo, J. John Mann, Ramin V Parsey

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72592W (2009) https://doi.org/10.1117/12.812170
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Positron emission tomography (PET) images are acquired for many purposes, from diagnostic assessment to aiding in the development of novel therapies. Whatever the intended use, it is often necessary to distinguish between different anatomical regions within these images. Because of this, magnetic resonance images (MRIs) are generally acquired to provide an anatomical reference. This reference will only be accurate if the PET image is properly coregistered to the MRI; yet currently, a method to evaluate PET-MRI coregistration accuracy does not exist. This problem is compounded by the fact that two visually indistinguishable coregistration results can produce estimates of ligand binding that vary significantly. Therefore, the focus of this work was to develop a method that can evaluate coregistration performance based on measured ligand binding within certain regions of the coregistered PET image. The evaluation method is based on the premise that a more accurate coregistration will result in higher ligand binding in certain anatomical regions defined by the MRI. This fully automated method was able to assess coregistration results within the variance of an expert manual rater and shows promise as a possible coregistration cost function.

Citation Download Citation

Christine DeLorenzo, Arno Klein, Arthur Mikhno, Neil Gray, Francesca Zanderigo, J. John Mann, and Ramin V Parsey "A new method for assessing PET-MRI coregistration", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72592W (27 March 2009); https://doi.org/10.1117/12.812170

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