Automatic internal segmentation of caudate nucleus for diagnosis of attention-deficit/hyperactivity disorder

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7325 LNCS, Issue PART 2, 2012, Pages 222-229

  Igual, Laura ^a,b   Soliva, Joan Carles ^c,d   Gimeno, Roger ^b   Escalera, Sergio ^a,b   Vilarroya, Oscar ^c,d   Radeva, Petia ^a,b  

^a UNIVERSITY OF BARCELONA   (Spain)

^b Computer Vision Center of Barcelona ^*  (Spain)

^c UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^d Grup de Recerca en Neuroimatge GREEN Fundació IMIM   (Spain)

Author keywords

ADHD Diagnosis; Attention Deficit Hyperactivity Disorder; Automatic Caudate Segmentation

Indexed keywords

ATTENTION-DEFICIT/HYPERACTIVITY DISORDER; AUTOMATIC DIAGNOSTICS; BODY STRUCTURE; CAUDATE SEGMENTATION; CONTROL SUBJECT; DIAGNOSTIC TESTS; MANUAL ANNOTATION; NUCLEUS SEGMENTATION;

IMAGE ANALYSIS; MAGNETIC RESONANCE IMAGING;

IMAGE SEGMENTATION;

EID: 84864151039     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31298-4_27     Document Type: Conference Paper

References (11)

1. Carmona, S., Vilarroya, O., et al.: Global and regional gray matter reductions in ADHD: A voxel-based morphometric study. Neuroscience Letters 389(2), 88-93 (2005)
2. Castellani, U., Mirtuono, P., Murino, V., Bellani, M., Rambaldelli, G., Tansella, M., Brambilla, P.: A New Shape Diffusion Descriptor for Brain Classification. In: Fichtinger, G., Martel, A., Peters, T. (eds.)MICCAI 2011, Part II. LNCS, vol. 6892, pp. 426-433. Springer, Heidelberg (2011)
3. Castellanos, F.X., Lee, P.P., Sharp, W., Jeffries, N.O., Greenstein, D.K., Clasen, L.S., et al.: Developmental Trajectories of Brain Volume Abnormalities in Children and Adolescents With Attention-Deficit/Hyperactivity Disorder. The Journal of the American Medical Association 288(14), 1740-1748 (2002)
4. Gerig, G., Styner, M., Jones, D., Weinberger, D., Lieberman, J.: Shape Analysis of Brain Ventricles Using SPHARM. In: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, pp. 171-178 (August 2001), http://dx.doi.org/10.1109/MMBIA.2001.991731
5. Igual, L., Soliva, J.C., Hernandez-Vela, A., Escalera, S., Jimenez, X., Vilarroya, O., Radeva, P.: A fully-automatic caudate nucleus segmentation of brain MRI: Application in pediatric attention- deficit/hyperactivity disorder volumetric analysis. BioMedical Engineering Online 10(105)
6. Kolmogorov, V., Zabih, R.: What energy functions can be minimized via graph cuts. PAMI 26, 65-81 (2004)
7. Seidman, L.J., Valera, E.M., Makris, N.: Structural brain imaging of attention-deficit/ hyperactivity disorder. Biological Psychiatry 57(11), 1263-1272 (2005)
8. Soliva, J., Fauquet, J., Bielsa, A., Rovira, M., Carmona, S., Ramos-Quiroga, J., Hilferty, J., Bulbena, A., Casas, M., Vilarroya, O.: Quantitative MR analysis of the caudate abnormalitites in pediatric adhd: Proposal for a diagnostic test. Psychiatric Research: Neuroimaging (2010)
9. Talairach, J., Tournoux, P.: Co-planar Stereotaxic Atlas of the Human Brain: 3- Dimensional Proportional System - an Approach to Cerebral Imaging. Thieme Medical Publishers (1988)
10. Trèmols, V., Bielsa, A., Soliva, J.C., Raheb, C., Carmona, S., Tomàs, J., Gispert, J., Rovira, M., Fauquet, J., Tobeña, A., Bulbena, A., Vilarroya, O.: Differential abnormalities of the head and body of the caudate nucleus in attention deficit-hyperactivity disorder. Psychiatric Research 163(3), 270-278 (2008)
11. Zhou, H., Schaefer, G., Shi, C.: A mean shift based fuzzy c-means algorithm for image segmentation. In: Proceedings of the International Conference of IEEE Engineering in Medicine and Biology Society 2008, pp. 3091-3094 (2008)