Research Article
Algorithm to detect and calculate the cerebrospinal fluid (CSF) through Magnetic Resonance Imaging (MRI)
@ARTICLE{10.4108/eai.13-7-2018.164179, author={Enrique Gonz\^{a}lez-Mart\^{\i}n and Guillermo Sosa-G\^{o}mez and Omar Rojas}, title={Algorithm to detect and calculate the cerebrospinal fluid (CSF) through Magnetic Resonance Imaging (MRI)}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={5}, number={20}, publisher={EAI}, journal_a={PHAT}, year={2019}, month={11}, keywords={Cerebrospinal Fluid (CSF), Magnetic Resonance Imaging, Image Registration, region growing}, doi={10.4108/eai.13-7-2018.164179} }- Enrique González-Martín
Guillermo Sosa-Gómez
Omar Rojas
Year: 2019
Algorithm to detect and calculate the cerebrospinal fluid (CSF) through Magnetic Resonance Imaging (MRI)
PHAT
EAI
DOI: 10.4108/eai.13-7-2018.164179
Abstract
INTRODUCTION: An heuristic algorithm for detection and segmentation of cerebrospinal fluid through magnetic resonance imaging is presented.
OBJECTIVE: The objective of the method is to calculate the minimum amount of anesthesia to be used in patients at the time of an operation and thus make a decision based on the algorithm.
METHODS: The pattern-based CSF segmentation algorithm presented is based on finite cellular automata that takes as input light and dark images obtained from MRI methods.
RESULTS: Based on Fieldman’s test, results show that the algorithm is as efficient as the decision taken by two different operators regarding the mL of anesthesia to be used in the patient.
Copyright © 2019 Enrique González-Martín et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
