Algorithm to detect and calculate the cerebrospinal fluid (CSF) through Magnetic Resonance Imaging (MRI)

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.