1-D MATHEMATICAL MORPHOLOGY FOR WATER REMOVAL IN ~1H MR SPECTROSCOPY TOOL

摘要

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.