Authors:
Juan José Fuertes
1
;
Valery Naranjo
1
;
Jesús Angulo
2
and
Mariano Alcañiz
3
Affiliations:
1
Universitat Politècnica de València and I3BH/LabHuman, Spain
;
2
MINES Paristech, France
;
3
Universitat Politècnica de València, I3BH/LabHuman and Instituto de Salud Carlos III, Spain
Keyword(s):
Magnetic Resonance Spectroscopy, Signal Processing, Brain Cancer Detection, Multivoxel, Magnetic Resonance Imaging.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Informatics in Control, Automation and Robotics
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Signal Processing, Sensors, Systems Modeling and Control
;
Time and Frequency Response
;
Time-Frequency Analysis
Abstract:
This work shows the basics and performance of a new morphological signal method for 1-D water signal removal included in a simple and interactive multivoxel spectroscopy tool to help surgeons detect brain cancer. It consists of mathematical morphology usually applied in 2D images to filter 1D spectroscopic signals. 1D water signal reconstruction from the original data is performed in frequency domain through the use of an elementary operation: geodesic dilation. Then, the water signal is subtracted from the original signals due to the large amount of water which exists in the brain compared to the rest of molecules, making possible quantitation procces. The goal of this paper is to present this new morphological method commonly used in 2D domain for 1D water removal, spreading its use to several processing methods as quantitation.