Image Processing

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

[+] Author Affiliations
Akshay Pai, Jon Sporring

University of Copenhagen, Department of Computer Science, DIKU, Sigursgade 41, Copenhagen 2100, Denmark

Sune Darkner, Martin Lillholm, Dan Jørgensen, Lauge Sørensen

Biomediq A/S, Fruebjergvej 3, Copenhagen 2100, Denmark

Erik B. Dam, Mads Nielsen

University of Copenhagen, Department of Computer Science, DIKU, Sigursgade 41, Copenhagen 2100, Denmark

Biomediq A/S, Fruebjergvej 3, Copenhagen 2100, Denmark

Joonmi Oh, Gennan Chen, Joyce Suhy

Bioclinica, 7707 Gateway Boulevard, 3rd Floor Newark, California 94560, United States

J. Med. Imag. 3(1), 014005 (Mar 16, 2016). doi:10.1117/1.JMI.3.1.014005
History: Received August 10, 2015; Accepted February 19, 2016
Text Size: A A A

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.

Figures in this Article
© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Akshay Pai ; Jon Sporring ; Sune Darkner ; Erik B. Dam ; Martin Lillholm, et al.
"Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease", J. Med. Imag. 3(1), 014005 (Mar 16, 2016). ; http://dx.doi.org/10.1117/1.JMI.3.1.014005


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.