Estimating rodent brain volume by a deformable contour model

Research areas:

• Methodology - Machine learning

Year:

2017

Type of Publication:

In Proceedings

Keywords:

Brain volume, contour model, image segmentation, medical image

Authors:

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

Volume:

723

Book title:

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

Series:

Communications in Computer and Information Science (CCIS)

Pages:

686-697

Organization:

Edinburgh, United Kingdom

Month:

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.