Share Email Print

Proceedings Paper

Atlas-based segmentation of brainstem regions in neuromelanin-sensitive magnetic resonance images
Author(s): Marc Puigvert; Gabriel Castellanos; Javier Uranga; Ricardo Abad; María A. Fernández-Seara; Pau Pastor; María A. Pastor; Arrate Muñoz-Barrutia; Carlos Ortiz de Solórzano
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

We present a method for the automatic delineation of two neuromelanin rich brainstem structures –substantia nigra pars compacta (SN) and locus coeruleus (LC)- in neuromelanin sensitive magnetic resonance images of the brain. The segmentation method uses a dynamic multi-image reference atlas and a pre-registration atlas selection strategy. To create the atlas, a pool of 35 images of healthy subjects was pair-wise pre-registered and clustered in groups using an affinity propagation approach. Each group of the atlas is represented by a single exemplar image. Each new target image to be segmented is registered to the exemplars of each cluster. Then all the images of the highest performing clusters are enrolled into the final atlas, and the results of the registration with the target image are propagated using a majority voting approach. All registration processes used combined one two-stage affine and one elastic B-spline algorithm, to account for global positioning, region selection and local anatomic differences. In this paper, we present the algorithm, with emphasis in the atlas selection method and the registration scheme. We evaluate the performance of the atlas selection strategy using 35 healthy subjects and 5 Parkinson’s disease patients. Then, we quantified the volume and contrast ratio of neuromelanin signal of these structures in 47 normal subjects and 40 Parkinson’s disease patients to confirm that this method can detect neuromelanin-containing neurons loss in Parkinson’s disease patients and could eventually be used for the early detection of SN and LC damage.

Paper Details

Date Published: 20 March 2015
PDF: 9 pages
Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94140Y (20 March 2015); doi: 10.1117/12.2080779
Show Author Affiliations
Marc Puigvert, Clínica Univ. de Navarra (Spain)
Gabriel Castellanos, Ctr. for Applied Medical Research (Spain)
Javier Uranga, Ctr. for Applied Medical Research (Spain)
Ricardo Abad, Ctr. for Applied Medical Research (Spain)
María A. Fernández-Seara, Ctr. for Applied Medical Research (Spain)
Pau Pastor, Ctr. for Applied Medical Research (Spain)
María A. Pastor, Ctr. for Applied Medical Research (Spain)
Arrate Muñoz-Barrutia, Ctr. for Applied Medical Research (Spain)
Carlos Ortiz de Solórzano, Ctr. for Applied Medical Research (Spain)

Published in SPIE Proceedings Vol. 9414:
Medical Imaging 2015: Computer-Aided Diagnosis
Lubomir M. Hadjiiski; Georgia D. Tourassi, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?