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.
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.
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
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
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
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