J. J. Fuertes, V. Naranjo, P. González, Á. Bernabeu, M. A. Raya, Javier Sánchez
{"title":"Multivoxel MR Spectroscopy Tool for Brain Cancer Detection in Neuronavigation - Performance","authors":"J. J. Fuertes, V. Naranjo, P. González, Á. Bernabeu, M. A. Raya, Javier Sánchez","doi":"10.5220/0003770501670172","DOIUrl":null,"url":null,"abstract":"This work presents a simple and interactive spectroscopic tool to help clinicians for brain cancer detection. Firstly, Magnetic Resonance Spectroscopy (MRS) and Magnetic Resonance Imaging (MRI) are registered to perform brain analysis. After processing the spectroscopic signals with HLSVD method for water suppression, zero-filling and phase-correction algorithms, and apodization functions to improve the signalto-noise ratio (SNR), the metabolite brain maps are generated in order to analyze brain composition. A 3Dspatial distribution of the anatomical and spectroscopic images and how they are registered are presented to facilitate surgery planning. The goal is to generate metabolite brain maps which can be merged with anatomical images in the neuronavigator to provide the surgeon with the exact point where performing the","PeriodicalId":357085,"journal":{"name":"International Conference on Biomedical Electronics and Devices","volume":"223 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Biomedical Electronics and Devices","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0003770501670172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This work presents a simple and interactive spectroscopic tool to help clinicians for brain cancer detection. Firstly, Magnetic Resonance Spectroscopy (MRS) and Magnetic Resonance Imaging (MRI) are registered to perform brain analysis. After processing the spectroscopic signals with HLSVD method for water suppression, zero-filling and phase-correction algorithms, and apodization functions to improve the signalto-noise ratio (SNR), the metabolite brain maps are generated in order to analyze brain composition. A 3Dspatial distribution of the anatomical and spectroscopic images and how they are registered are presented to facilitate surgery planning. The goal is to generate metabolite brain maps which can be merged with anatomical images in the neuronavigator to provide the surgeon with the exact point where performing the