Abstract #2122

Nosological images of brain tumor MV-MRS 3T data based on classifiers trained with SV-MRS 1.5T data, a proof-of-concept

Gulnur Semahat Ungan^1,2, Albert Pons-Escoda³, Daniel Ulinic², Carles Arus^1,2, Alfredo Vellido^1,4, and Margarida Julia-Sape^1,2

¹Centro de Investigacion Biomedica en Red (CIBER), Cerdanyola del Valles, Spain, ²Universitat Autonoma de Barcelona, Cerdanyola del Valles, Spain, ³Hospital de Bellvitge, L'Hospitalet del Llobregat, Spain, ⁴Universitat Politecnica de Catalunya, Barcelona, Spain

Synopsis

Keywords: Tumors, Spectroscopy, visualization, data analysis, MRS, brain tumoursWe used SV-MRS 1.5T data of patients with brain tumors to create colored-classification images of MV-MRS 3T grids of an independent cohort of patients. In 10 out of 15 MV cases the solid tumor region corresponded to the correct class. In the remaining 5 cases, the reasons for (partial) misclassification included heterogeneity and bad spectral quality.

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