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dc.contributor.author
Namias, Rafael

dc.contributor.author
Venere, Marcelo Javier
dc.contributor.author
del Fresno, Mirta Mariana
dc.contributor.author
D'amato, Juan Pablo

dc.date.available
2016-04-15T20:54:58Z
dc.date.issued
2014-02
dc.identifier.citation
Namias, Rafael; Venere, Marcelo Javier; del Fresno, Mirta Mariana; D'amato, Juan Pablo; Automatic Rectum Limit Detection by Anatomical Markers Correlation; Elsevier; Computerized Medical Imaging and Graphics; 38; 4; 2-2014; 245-250
dc.identifier.issn
0895-6111
dc.identifier.uri
http://hdl.handle.net/11336/5240
dc.description.abstract
Several diseases take place at the end of the digestive system. Many of them can be diagnosed by means of different medical imaging modalities together with computer aided detection (CAD) systems. These CAD systems mainly focus on the complete segmentation of the digestive tube. However, the detection of limits between different sections could provide important information to these systems.
In this paper we present an automatic method for detecting the rectum and sigmoid colon limit using a novel global curvature analysis over the centerline of the segmented digestive tube in different imaging modalities. The results are compared with the gold standard rectum upper limit through a validation scheme comprising two different anatomical markers: the third sacral vertebra and the average rectum length. Experimental results in both magnetic resonance imaging (MRI) and computed tomography colonography (CTC) acquisitions show the efficacy of the proposed strategy in automatic detection of rectum limits. The method is intended for application to the rectum segmentation in MRI for geometrical modeling and as contextual information source in virtual colonoscopies and CAD systems.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier

dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Marcadores Anatómicos
dc.subject
Recto
dc.subject
Resonancia Magnética
dc.subject
Tomografía Computada
dc.subject.classification
Ciencias de la Computación

dc.subject.classification
Ciencias de la Computación e Información

dc.subject.classification
CIENCIAS NATURALES Y EXACTAS

dc.title
Automatic Rectum Limit Detection by Anatomical Markers Correlation
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-05-06 15:52:43.262787-03
dc.journal.volume
38
dc.journal.number
4
dc.journal.pagination
245-250
dc.journal.pais
Países Bajos

dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Namias, Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
dc.description.fil
Fil: Venere, Marcelo Javier. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: del Fresno, Mirta Mariana. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
dc.description.fil
Fil: D'amato, Juan Pablo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados; Argentina. Comision Nacional de Energia Atomica. Centro Atomico Bariloche; Argentina
dc.journal.title
Computerized Medical Imaging and Graphics

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compmedimag.2014.01.005
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0895611114000159
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.compmedimag.2014.01.005
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