Literature DB >> 17124388

Multiparametric iterative self-organizing data analysis of ischemic lesions using pre- or post-Gd T1 MRI.

Hamid Soltanian-Zadeh1, Hassan Bagher-Ebadian, James R Ewing, Panayiotis D Mitsias, Alissa Kapke, Mei Lu, Quan Jiang, Suresh C Patel, Michael Chopp.   

Abstract

BACKGROUND: The purpose of this work was to evaluate effects of Gd-diethylenetriaminepentacetic acid (DTPA) injection on T(1)-weighted images of stroke and lesion segmentation and characterization results generated by our multiparametric iterative self-organizing data (ISODATA) method. The post-Gd image incorporates vasculature information into the analysis.
METHODS: Either a pre-Gd T(1)-weighted image (T1WI) or a post-Gd T1WI was used along with diffusion-, T(2)- and proton-density-weighted images in the analysis. ISODATA is a data-driven method that segments and characterizes tissue damage in stroke using multiparametric MRI.
RESULTS: Experimental results in both animal and human studies showed that the use of post-Gd T1WI modified the segmentation and characterization results on the periphery of the lesion. The peripheral region that changes with Gd-DTPA has a higher permeability compared to the rest of the lesion. Either of the data sets (including pre- or post-Gd T1WI) was used to estimate the tissue recovery and generated consistent results.
CONCLUSIONS: This study shows that our multiparametric ISODATA approach consistently identifies and characterizes the core of the ischemic lesion. It also shows that the inclusion of post-Gd T1WI results in the segmentation and characterization of the lesion periphery if it has a higher permeability compared to the rest of the lesion. Finally, it confirms that the multiparametric ISODATA MRI characterizes tissue damage and recovery in stroke.

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Year:  2006        PMID: 17124388     DOI: 10.1159/000097044

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  7 in total

1.  Predicting ischemic stroke tissue fate using a deep convolutional neural network on source magnetic resonance perfusion images.

Authors:  King Chung Ho; Fabien Scalzo; Karthik V Sarma; William Speier; Suzie El-Saden; Corey Arnold
Journal:  J Med Imaging (Bellingham)       Date:  2019-05-22

2.  ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.

Authors:  Bjoern H Menze; Heinz Handels; Mauricio Reyes; Oskar Maier; Janina von der Gablentz; Levin Ḧani; Mattias P Heinrich; Matthias Liebrand; Stefan Winzeck; Abdul Basit; Paul Bentley; Liang Chen; Daan Christiaens; Francis Dutil; Karl Egger; Chaolu Feng; Ben Glocker; Michael Götz; Tom Haeck; Hanna-Leena Halme; Mohammad Havaei; Khan M Iftekharuddin; Pierre-Marc Jodoin; Konstantinos Kamnitsas; Elias Kellner; Antti Korvenoja; Hugo Larochelle; Christian Ledig; Jia-Hong Lee; Frederik Maes; Qaiser Mahmood; Klaus H Maier-Hein; Richard McKinley; John Muschelli; Chris Pal; Linmin Pei; Janaki Raman Rangarajan; Syed M S Reza; David Robben; Daniel Rueckert; Eero Salli; Paul Suetens; Ching-Wei Wang; Matthias Wilms; Jan S Kirschke; Ulrike M Kr Amer; Thomas F Münte; Peter Schramm; Roland Wiest
Journal:  Med Image Anal       Date:  2016-07-21       Impact factor: 8.545

3.  Predicting final extent of ischemic infarction using artificial neural network analysis of multi-parametric MRI in patients with stroke.

Authors:  Hassan Bagher-Ebadian; Kourosh Jafari-Khouzani; Panayiotis D Mitsias; Mei Lu; Hamid Soltanian-Zadeh; Michael Chopp; James R Ewing
Journal:  PLoS One       Date:  2011-08-10       Impact factor: 3.240

4.  Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical appraisal.

Authors:  Islem Rekik; Stéphanie Allassonnière; Trevor K Carpenter; Joanna M Wardlaw
Journal:  Neuroimage Clin       Date:  2012-10-17       Impact factor: 4.881

5.  Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks.

Authors:  Liang Chen; Paul Bentley; Daniel Rueckert
Journal:  Neuroimage Clin       Date:  2017-06-13       Impact factor: 4.881

6.  Automated segmentation of haematoma and perihaematomal oedema in MRI of acute spontaneous intracerebral haemorrhage.

Authors:  Stefan Pszczolkowski; Zhe K Law; Rebecca G Gallagher; Dewen Meng; David J Swienton; Paul S Morgan; Philip M Bath; Nikola Sprigg; Rob A Dineen
Journal:  Comput Biol Med       Date:  2019-01-29       Impact factor: 4.589

7.  A radiographic comparison of progressive and conventional loading on crestal bone loss and density in single dental implants: a randomized controlled trial study.

Authors:  Rahab Ghoveizi; Marzieh Alikhasi; Mohammad-Reza Siadat; Hakimeh Siadat; Majid Sorouri
Journal:  J Dent (Tehran)       Date:  2013-03-31
  7 in total

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