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Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting Read chapter Read first chapter

2016 | OriginalPaper | Chapter

An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma

Authors : Javier Juan-Albarracín, Elies Fuster-Garcia, Juan M. García-Gómez

Published in: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Publisher: Springer International Publishing

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Abstract

Glioblastomas are infiltrative and deeply invasive neoplasms characterized by high vascular proliferation and diffuse margins. As a consequence, this lesion presents a high degree of heterogeneity that requires being studied through a multiparametric combination of several imaging sequences. Nowadays few systems are available to perform a relevant multiparametric analysis of this tumour. In this work, we present the study of GBM by means of http://​mtsimaging.​com, an online platform for the automatic reporting of multiparametric tissue signatures. The platform implements two full automated GBM pipelines: (1) the anatomical pipeline, which involves MRI preprocessing and tumour segmentation; and (2) the hemodynamic MTS pipeline, which adds the quantification of perfusion parameters and a nosologic segmentation map of the vascular habitats of the GBM. A radiologic report summarizes the findings of both analysis and provides volumetric and perfusion statistics of each tissue and habitat of the tumour.

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previous chapter Multi-modal Registration Improves Group Discrimination in Pediatric Traumatic Brain Injury
next chapter A Fast Approach to Automatic Detection of Brain Lesions
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Metadata
Title
An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma
Authors
Javier Juan-Albarracín
Elies Fuster-Garcia
Juan M. García-Gómez
Copyright Year
2016
Book
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Print ISBN: 978-3-319-55523-2

Electronic ISBN: 978-3-319-55524-9

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-55524-9_5

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