@InProceedings{LauraIgual2012,
author="Laura Igual
and Joan Carles Soliva
and Roger Gimeno
and Sergio Escalera
and Oscar Vilarroya
and Petia Radeva",
title="Automatic Internal Segmentation of Caudate Nucleus for Diagnosis of Attention Deficit Hyperactivity Disorder",
booktitle="9th International Conference on Image Analysis and Recognition",
year="2012",
volume="7325",
number="II",
pages="222--229",
abstract="PosterStudies on volumetric brain Magnetic Resonance Imaging (MRI) showed neuroanatomical abnormalities in pediatric Attention-Deficit/Hyperactivity Disorder (ADHD). In particular, the diminished right caudate volume is one of the most replicated findings among ADHD samples in morphometric MRI studies. In this paper, we propose a fully-automatic method for internal caudate nucleus segmentation based on machine learning. Moreover, the ratio between right caudate body volume and the bilateral caudate body volume is applied in a ADHD diagnostic test. We separately validate the automatic internal segmentation of caudate in head and body structures and the diagnostic test using real data from ADHD and control subjects. As a result, we show accurate internal caudate segmentation and similar performance among the proposed automatic diagnostic test and the manual annotation.",
optnote="OR; HuPBA; MILAB",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2059), last updated on Fri, 19 Sep 2014 10:23:57 +0200",
isbn="978-3-642-31297-7",
issn="0302-9743",
doi="10.1007/978-3-642-31298-4_27",
file=":http://refbase.cvc.uab.es/files/ISG2012.pdf:PDF"
}