Estimating rodent brain volume by a deformable contour model

Áreas de investigación:

• Methodology - Machine learning

Año:

2017

Tipo de publicación:

Artículo en conferencia

Palabras clave:

Brain volume, contour model, image segmentation, medical image

Autores:

• Camacho-Cañamón, Julio
• Carreira, María J.
• Gutiérrez, Pedro Antonio
• Iglesias-Rey, Ramón

Volumen:

723

Título del libro:

Annual Conference on Medical Image Understanding and Analysis ( MIUA 2017)

Serie:

Communications in Computer and Information Science (CCIS)

Páginas:

686-697

Organización:

Edinburgh, United Kingdom

Mes:

11th-13th July

ISBN:

978-3-319-60963-8

BibTex:

@conference{Camacho-CanamonMIUA2017, author = "Julio Camacho-Ca{\~n}am{\'o}n and Mar{\'i}a J. Carreira and Pedro Antonio Guti{\'e}rrez and Ram{\'o}n Iglesias-Rey", abstract = "Cerebral stroke is a cerebrovascular disease caused by an alteration of blood flow to the brain. Rodents are used to experiment with drugs provoking a stroke and studying the effects of different drugs as a measure of the relation of lesion volume to brain volume. Nowadays, clinicians are performing these experiments manually, leading to interhuman errors and not repeatability, of results, as well as being time-consuming tasks. This paper presents a methodology to automate this task, performing an automatic computation of the brain volume from the brain area for each slice of the rodent brain. Although in its initial state, results are very promising, and so work will follow in this way with the computation of lesion volume.", booktitle = "Annual Conference on Medical Image Understanding and Analysis ( MIUA 2017)", doi = "10.1007/978-3-319-60964-5_60", isbn = "978-3-319-60963-8", keywords = "Brain volume, contour model, image segmentation, medical image", month = "11th-13th July", organization = "Edinburgh, United Kingdom", pages = "686-697", publisher = "Springer International Publishing", series = "Communications in Computer and Information Science (CCIS)", title = "{E}stimating rodent brain volume by a deformable contour model", url = "doi.org/10.1007/978-3-319-60964-5_60", volume = "723", year = "2017", }

Abstract:

Cerebral stroke is a cerebrovascular disease caused by an alteration of blood flow to the brain. Rodents are used to experiment with drugs provoking a stroke and studying the effects of different drugs as a measure of the relation of lesion volume to brain volume. Nowadays, clinicians are performing these experiments manually, leading to interhuman errors and not repeatability, of results, as well as being time-consuming tasks. This paper presents a methodology to automate this task, performing an automatic computation of the brain volume from the brain area for each slice of the rodent brain. Although in its initial state, results are very promising, and so work will follow in this way with the computation of lesion volume.