Literature DB >> 17436187

[Computerized analysis of brain perfusion parameter images].

B Turowski1, D Haenggi, H-J Wittsack, A Beck, V Aurich.   

Abstract

PURPOSE: The development of a computerized method which allows a direct quantitative comparison of perfusion parameters. The display should allow a clear direct comparison of brain perfusion parameters in different vascular territories and over the course of time. The analysis is intended to be the basis for further evaluation of cerebral vasospasm after subarachnoid hemorrhage (SAH). The method should permit early diagnosis of cerebral vasospasm.
MATERIALS AND METHODS: The Angiotux 2D-ECCET software was developed with a close cooperation between computer scientists and clinicians. Starting from parameter images of brain perfusion, the cortex was marked, segmented and assigned to definite vascular territories. The underlying values were averages for each segment and were displayed in a graph. If a follow-up was available, the mean values of the perfusion parameters were displayed in relation to time. The method was developed under consideration of CT perfusion values but is applicable for other methods of perfusion imaging.
RESULTS: Computerized analysis of brain perfusion parameter images allows an immediate comparison of these parameters and follow-up of mean values in a clear and concise manner. Values are related to definite vascular territories. The tabular output facilitates further statistic evaluations. The computerized analysis is precisely reproducible, i. e., repetitions result in exactly the same output.
CONCLUSION: Computerized analysis of brain perfusion parameters with Angiotux 2D-ECCET is objective and ensures reproducible results. It may become the basis and a requirement for the analysis of minimal changes in brain perfusion prior to irreversible damage from posthemorrhagic vasospasm.

Entities:  

Mesh:

Year:  2007        PMID: 17436187     DOI: 10.1055/s-2007-962853

Source DB:  PubMed          Journal:  Rofo        ISSN: 1438-9010


  8 in total

1.  Long-term impact of perfusion CT data after subarachnoid hemorrhage.

Authors:  Christian Mathys; Daniel Martens; Dorothea C Reichelt; Julian Caspers; Joel Aissa; Rebecca May; Daniel Hänggi; Gerald Antoch; Bernd Turowski
Journal:  Neuroradiology       Date:  2013-09-13       Impact factor: 2.804

2.  Cerebral perfusion changes in chronic subdural hematoma.

Authors:  Marcel J H Aries; Karol P Budohoski; Zwany Metting; Joukje van der Naalt
Journal:  J Neurotrauma       Date:  2013-09-09       Impact factor: 5.269

3.  A comparative study of perfusion CT and 99m Tc-HMPAO SPECT measurement to assess cerebrovascular reserve capacity in patients with internal carotid artery occlusion.

Authors:  Sven O Eicker; B Turowski; H-J Heiroth; H-J Steiger; D Hänggi
Journal:  Eur J Med Res       Date:  2011-11-10       Impact factor: 2.175

Review 4.  Aneurysmal Subarachnoid Hemorrhage.

Authors:  Athanasios K Petridis; Marcel A Kamp; Jan F Cornelius; Thomas Beez; Kerim Beseoglu; Bernd Turowski; Hans-Jakob Steiger
Journal:  Dtsch Arztebl Int       Date:  2017-03-31       Impact factor: 5.594

Review 5.  An Appeal to Standardize CT- and MR-Perfusion.

Authors:  B Turowski; P Schramm
Journal:  Clin Neuroradiol       Date:  2015-08-20       Impact factor: 3.649

6.  The value of perfusion computed tomography in predicting clinically relevant vasospasm in patients with aneurysmal subarachnoid hemorrhage.

Authors:  Anne-Katrin Hickmann; Sönke Langner; Michael Kirsch; Jörg Baldauf; Cornelia Müller; Alexander Khaw; Henry W S Schroeder
Journal:  Neurosurg Rev       Date:  2012-10-27       Impact factor: 3.042

7.  Intra-arterial nimodipine for severe cerebral vasospasm after aneurysmal subarachnoid hemorrhage: influence on clinical course and cerebral perfusion.

Authors:  D Hänggi; B Turowski; K Beseoglu; M Yong; H J Steiger
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-27       Impact factor: 3.825

8.  MTT Heterogeneity in Perfusion CT Imaging as a Predictor of Outcome after Aneurysmal SAH.

Authors:  B B Hofmann; I Fischer; A Engel; K Jannusch; D M Donaldson; C Karadag; J H van Lieshout; K Beseoglu; S Muhammad; B Turowski; D Hänggi; M A Kamp; C Rubbert
Journal:  AJNR Am J Neuroradiol       Date:  2021-06-03       Impact factor: 4.966

  8 in total

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