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Dynamic Atlas-Based Segmentation and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease.

Abstract：

:We present a dynamic atlas composed of neuromelanin-enhanced magnetic resonance brain images of 40 healthy subjects. The performance of this atlas is evaluated on the fully automated segmentation of two paired neuromelanin-rich brainstem healthy structures: the substantia nigra pars compacta and the locus coeruleus. We show that our dynamic atlas requires in average 60% less images and, therefore, 60% less computation time than a static multi-image atlas while achieving a similar segmentation performance. Then, we show that by applying our dynamic atlas, composed of healthy subjects, to the segmentation and neuromelanin quantification of a set of brain images of 39 Parkinson disease patients, we are able to find significant quantitative differences in the level of neuromelanin between healthy subjects and Parkinson disease patients, thus opening the door to the use of these structures as image biomarkers in future computer aided diagnosis systems for the diagnosis of Parkinson disease.

journal_name

IEEE Trans Med Imaging

journal_title

IEEE transactions on medical imaging

authors

Ariz M,Abad RC,Castellanos G,Martinez M,Munoz-Barrutia A,Fernandez-Seara MA,Pastor P,Pastor MA,Ortiz-de-Solorzano C

doi

10.1109/TMI.2018.2872852

subject

Has Abstract

pub_date

2019-03-01 00:00:00

pages

813-823

issue

3

eissn

0278-0062

issn

1558-254X

journal_volume

38

pub_type

杂志文章

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