January 15, 2017

MRI Analysis Services

Objectives

Vascular proliferation and heterogeneity are two of the main pathological hallmarks of Glioblastoma (GBM). A precise and advanced characterization of both effects provide useful information for therapy planning and early response to treatment assessment. MTS offers complete and automated GBM analysis services based on MRI imaging data.

Services

MTS offers two different services depending on the data available:

-GBM Anatomical Analysis: If only morphologic imaging data are available, MTS will provide the preprocessing and automatic morphological segmentation services.

-GBM Hemodynamic Tissue Signature: If both morphological and DSC perfusion data are available, MTS will provide not only the preprocessing and morphological segmentation services but also the DSC quantification and the generation of the Hemodynamic Tissular Signature.

Analysis

- Preprocessing: Several artefacts are considered and corrected in this module such as magnetic bias field inhomogeneities, noise or spike artefacts. Additionally, automated registration, skull-stripping and super-resolution is conducted to generate a consistent multi-parametric high quality imaging space of the brain.

- Segmentation: In this module, we implemented an unsupervised structured segmentation system that provides the delineation of the tumoral tissues.

- DSC Perfussion Quantification: This module provides the hemodynamic maps of the two quantification models existing in the literature: the mono-compartmental model and the pharmacokinetic (bi-compartmental) model. The quantified maps computed by this module are: Cerebral Blood Volume (CBV), Cerebral Blood Flow (CBF), Mean Transit Time (MTT), Ktrans, ve, and vp.

- Hemodynamic Tissue Signature: HTS provides an automated unsupervised method to describe the heterogeneity of the enhancing tumour and oedema areas in terms of the angiogenic process located at these regions. We consider 4 sub-compartments for the GBM that closely related to a more angiogenic enhancing tumour part, a less angiogenic enhancing tumour area, a tumour infilatrated oedema and a pure vasogenic oedema.

Contributors

The MTS analysis services for GBM have been developed by Javier Juan Albarracín and Dr. Elies Fuster Garcia from IBIME-ITACA group of Universitat Politècnica de València led by Dr. Juan M. García-Gómez, in collaboration with the Radiology Area of the Hospital Universitari i Politècnic La Fe de València and GIBI230 group led by Dr. Luis Martí Bonmatí. We kindly appreciate the technical comments by Dr. José Vicente Manjón.

This work was partially supported by:

  • Project TIN2013-43457-R: Caracterización de firmas biológicas de Glioblastomas mediante modelos no supervisados de predicción estructurada basados en biomarcadores de imagen, co-funded by the Ministerio de Economía y Competitividad of Spain
  • Project DPI2016-80054-R: MTS4UP: Biomarcadores dinámicos basados en firmas tisulares multiparametricas para el seguimiento y evaluación de la respuesta a tratamiento de pacientes con glioblastoma y cáncer de próstata, co-founded by the Ministerio de Economía y Competitividad
  • Project: CURIAMFDFT: Solución computacional del modelo multinivel in vivo de la dinámica de la angiogénesis para la detección temprana de respuesta a tratamiento en Glioblastomas primarios, co-funded by the ITACA Institute of Universitat Politècnica de València (UPV).

This website was developed under an action to prepare proposals for the H2020 research framework. This action was partially funded by Ministerio de Economia y Competitividad, project EUIN2015-62757: Preparación y presentación de propuestas sobre creación de sistemas de soporte a la decisión para diagnóstico y tratamiento personalizado de pacientes con cáncer.

Disclaimer

All the original images uploaded to MTSimaging services will be deleted inmediately after the provision of services. However, MTSimaging stores de-identified processed data to improve and validate the MTSimaging services.