Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease

Akshay Pai; Jon Sporring; Sune Darkner; Erik B. Dam; Martin Lillholm; Dan Jørgensen; Joonmi Oh; Gennan Chen; Joyce Suhy; Lauge Sørensen; Mads Nielsen

doi:10.1117/1.JMI.3.1.014005

16 March 2016 Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease

Akshay Pai, Jon Sporring, Sune Darkner, Erik B. Dam, Martin Lillholm, Dan Jørgensen, Joonmi Oh, Gennan Chen, Joyce Suhy, Lauge Sørensen, Mads Nielsen

Author Affiliations +

Journal of Medical Imaging, Vol. 3, Issue 1, 014005 (March 2016). https://doi.org/10.1117/1.JMI.3.1.014005

Abstract

Obtaining regional volume changes from a deformation field is more precise when using simplex counting (SC) compared with Jacobian integration (JI) due to the numerics involved in the latter. Although SC has been proposed before, numerical properties underpinning the method and a thorough evaluation of the method against JI is missing in the literature. The contributions of this paper are: (a) we propose surface propagation (SP)—a simplification to SC that significantly reduces its computational complexity; (b) we will derive the orders of approximation of SP which can also be extended to SC. In the experiments, we will begin by empirically showing that SP is indeed nearly identical to SC, and that both methods are more stable than JI in presence of moderate to large deformation noise. Since SC and SP are identical, we consider SP as a representative of both the methods for a practical evaluation against JI. In a real application on Alzheimer’s disease neuroimaging initiative data, we show the following: (a) SP produces whole brain and medial temporal lobe atrophy numbers that are significantly better than JI at separating between normal controls and Alzheimer’s disease patients; (b) SP produces disease group atrophy differences comparable to or better than those obtained using FreeSurfer, demonstrating the validity of the obtained clinical results. Finally, in a reproducibility study, we show that the voxel-wise application of SP yields significantly lower variance when compared to JI.

Citation Download Citation

Akshay Pai, Jon Sporring, Sune Darkner, Erik B. Dam, Martin Lillholm, Dan Jørgensen, Joonmi Oh, Gennan Chen, Joyce Suhy, Lauge Sørensen, and Mads Nielsen "Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease," Journal of Medical Imaging 3(1), 014005 (16 March 2016). https://doi.org/10.1117/1.JMI.3.1.014005

Published: 16 March 2016

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

Members: $24.00

Non-members: $28.00 ADD TO CART

JOURNAL ARTICLE
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Surface plasmons

Alzheimer's disease

Brain

Neuroimaging

Image registration

Control systems

Image segmentation

Show All Keywords

Keywords/Phrases

Search In:

Publication Years