Literature DB >> 27997443

Automated Infarct Core Volumetry Within the Hypoperfused Tissue: Technical Implementation and Evaluation.

Elias Kellner1, Marco Reisert, Valerij G Kiselev, Christoph J Maurer, Lena-Alexandra Beume, Horst Urbach, Karl Egger.   

Abstract

OBJECTIVE: The aim of this study was to develop a rapid and fully automatic infarct core and tissue at risk volumetry approach in acute ischemic stroke.
METHODS: We evaluated an algorithm in which segmentation was restricted to 1 hemisphere and the potential lesion characterized on the basis of the perfusion parameter Tmax with a region-wise comparison of local histograms to its mirrored counterpart.
RESULTS: We applied the "Tmax inside" method to 30 cases of a public data set with ground-truth segmentations for diffusion-weighted and perfusion magnetic resonance imaging. Lesions were robustly identified with significantly higher dice coefficients (apparent diffusion coefficient, 0.83 ± 0.22; Tmax, 0.80 ± 0.05, compared with 0.53 ± 0.27 and 0.56 ± 0.18) than for a global thresholding approach.
CONCLUSIONS: The proposed "Tmax inside" method is superior to the commonly used global thresholding approach. Furthermore, the method allows evaluating changes in cerebral blood volume and blood flow by taking the counterpart in the healthy hemisphere as a patient-individual reference.

Entities:  

Mesh:

Year:  2017        PMID: 27997443     DOI: 10.1097/RCT.0000000000000570

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  5 in total

Review 1.  [Imaging in acute ischemic stroke using automated postprocessing algorithms].

Authors:  K Egger; C Strecker; E Kellner; H Urbach
Journal:  Nervenarzt       Date:  2018-08       Impact factor: 1.214

2.  Image review on mobile devices for suspected stroke patients: Evaluation of the mRay software solution.

Authors:  Alex Brehm; Volker Maus; Eya Khadhraoui; Marios-Nikos Psychogios
Journal:  PLoS One       Date:  2019-06-28       Impact factor: 3.240

Review 3.  Computer-aided imaging analysis in acute ischemic stroke - background and clinical applications.

Authors:  Yahia Mokli; Johannes Pfaff; Daniel Pinto Dos Santos; Christian Herweh; Simon Nagel
Journal:  Neurol Res Pract       Date:  2019-08-15

Review 4.  Automatic brain lesion segmentation on standard magnetic resonance images: a scoping review.

Authors:  Emilia Gryska; Justin Schneiderman; Isabella Björkman-Burtscher; Rolf A Heckemann
Journal:  BMJ Open       Date:  2021-01-29       Impact factor: 2.692

5.  Differentiation of Cerebral Neoplasms with Vessel Size Imaging (VSI).

Authors:  Asmaa Foda; Elias Kellner; Asanka Gunawardana; Xiang Gao; Martin Janz; Anna Kufner; Ahmed A Khalil; Rohat Geran; Ralf Mekle; Jochen B Fiebach; Ivana Galinovic
Journal:  Clin Neuroradiol       Date:  2021-12-23       Impact factor: 3.649

  5 in total

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