6533b835fe1ef96bd129ea1a

RESEARCH PRODUCT

Combining HR-MAS and In Vivo MRI and MRSI Information for Robust Brain Tumor Recognition

M.c Martinez-bisbalDaniel MonleonBernardo CeldaTeresa LaudadioJean-baptiste PoulletS. Van HuffelA. Croitor Sava

subject

PhysicsNuclear magnetic resonancemedicine.diagnostic_testIn vivoPattern recognition (psychology)medicineMagic angle spinningBrain tumorHigh resolutionMagnetic resonance spectroscopic imagingMagnetic resonance imagingmedicine.disease

description

In this study we propose to classify short echotime brain MRSI data by using multimodal information coming from magnetic resonance imaging (MRI), magnetic resonance spectroscopic imaging (MRSI) and high resolution magic angle spinning (HR-MAS), and to develop an advanced pattern recognition method that could help clinicians in diagnosing brain tumors. We study the impact of using HR-MAS information in combination with in vivo information for classifying brain tumors and we investigate which parameters influence our classification results.

yearjournalcountryeditionlanguage
2009-01-01
https://doi.org/10.1007/978-3-540-89208-3_80