Literature DB >> 28598225

A novel voxel-wise lesion segmentation technique on 3.0-T diffusion MRI of hyperacute focal cerebral ischemia at 1 h after permanent MCAO in rats.

Chi-Hoon Choi1, Kyung Sik Yi1, Sang-Rae Lee2, Youngjeon Lee2, Chang-Yeop Jeon2, Jinwoo Hwang3, Chulhyun Lee4, Sung Sik Choi5, Hong Jun Lee5, Sang-Hoon Cha1,6.   

Abstract

To assess hyperacute focal cerebral ischemia in rats on 3.0-Tesla diffusion-weighted imaging (DWI), we developed a novel voxel-wise lesion segmentation technique that overcomes intra- and inter-subject variation in apparent diffusion coefficient (ADC) distribution. Our novel technique involves the following: (1) intensity normalization including determination of the optimal type of region of interest (ROI) and its intra- and inter-subject validation, (2) verification of focal cerebral ischemic lesions at 1 h with gross and high-magnification light microscopy of hematoxylin-eosin (H&E) pathology, (3) voxel-wise segmentation on ADC with various thresholds, and (4) calculation of dice indices (DIs) to compare focal cerebral ischemic lesions at 1 h defined by ADC and matching H&E pathology. The best coefficient of variation was the mode of the left hemisphere after normalization using whole left hemispheric ROI, which showed lower intra- (2.54 ± 0.72%) and inter-subject (2.67 ± 0.70%) values than the original. Focal ischemic lesion at 1 h after middle cerebral artery occlusion (MCAO) was confirmed on both gross and microscopic H&E pathology. The 83 relative threshold of normalized ADC showed the highest mean DI (DI = 0.820 ± 0.075). We could evaluate hyperacute ischemic lesions at 1 h more reliably on 3-Tesla DWI in rat brains.

Entities:  

Keywords:  Brain ischemia; acute stroke; animal models; brain imaging; diffusion-weighted MRI

Mesh:

Year:  2017        PMID: 28598225      PMCID: PMC6092770          DOI: 10.1177/0271678X17714179

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  39 in total

1.  Comparison between intensity normalization techniques for dynamic susceptibility contrast (DSC)-MRI estimates of cerebral blood volume (CBV) in human gliomas.

Authors:  Benjamin M Ellingson; Taryar Zaw; Timothy F Cloughesy; Kourosh M Naeini; Shadi Lalezari; Sandy Mong; Albert Lai; Phioanh L Nghiemphu; Whitney B Pope
Journal:  J Magn Reson Imaging       Date:  2012-01-26       Impact factor: 4.813

2.  Cranial MRI of small rodents using a clinical MR scanner.

Authors:  Jennifer Linn; Friederike Schwarz; Christian Schichor; Martin Wiesmann
Journal:  Methods       Date:  2007-09       Impact factor: 3.608

3.  Short- and midterm reproducibility of apparent diffusion coefficient measurements at 3.0-T diffusion-weighted imaging of the abdomen.

Authors:  Adam C Braithwaite; Brian M Dale; Daniel T Boll; Elmar M Merkle
Journal:  Radiology       Date:  2008-12-18       Impact factor: 11.105

4.  Secondary deterioration of apparent diffusion coefficient after 1-hour transient focal cerebral ischemia in rats.

Authors:  L Olah; S Wecker; M Hoehn
Journal:  J Cereb Blood Flow Metab       Date:  2000-10       Impact factor: 6.200

5.  Transient and permanent resolution of ischemic lesions on diffusion-weighted imaging after brief periods of focal ischemia in rats : correlation with histopathology.

Authors:  F Li; K F Liu; M D Silva; T Omae; C H Sotak; J D Fenstermacher; M Fisher; C Y Hsu; W Lin
Journal:  Stroke       Date:  2000-04       Impact factor: 7.914

6.  Reversal of early diffusion-weighted magnetic resonance imaging abnormalities does not necessarily reflect tissue salvage in experimental cerebral ischemia.

Authors:  T M Ringer; T Neumann-Haefelin; R A Sobel; M E Moseley; M A Yenari
Journal:  Stroke       Date:  2001-10       Impact factor: 7.914

7.  Standardization of relative cerebral blood volume (rCBV) image maps for ease of both inter- and intrapatient comparisons.

Authors:  Devyani Bedekar; Todd Jensen; Kathleen M Schmainda
Journal:  Magn Reson Med       Date:  2010-09       Impact factor: 4.668

Review 8.  Lesion evolution in cerebral ischemia.

Authors:  Tobias Back; Thomas Hemmen; Olaf G Schüler
Journal:  J Neurol       Date:  2004-04       Impact factor: 4.849

9.  Neuronal necrosis after middle cerebral artery occlusion in Wistar rats progresses at different time intervals in the caudoputamen and the cortex.

Authors:  J H Garcia; K F Liu; K L Ho
Journal:  Stroke       Date:  1995-04       Impact factor: 7.914

10.  Multimodal MRI segmentation of ischemic stroke lesions.

Authors:  Y Kabir; M Dojat; B Scherrer; F Forbes; C Garbay
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2007
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  3 in total

1.  Lesional and perilesional tissue characterization by automated image processing in a novel gyrencephalic animal model of peracute intracerebral hemorrhage.

Authors:  Johannes Boltze; Fabienne Ferrara; Atticus H Hainsworth; Leslie R Bridges; Marietta Zille; Donald Lobsien; Henryk Barthel; Damian D McLeod; Felix Gräßer; Sören Pietsch; Ann-Kathrin Schatzl; Antje Y Dreyer; Björn Nitzsche
Journal:  J Cereb Blood Flow Metab       Date:  2018-09-21       Impact factor: 6.200

2.  Machine learning identifies stroke features between species.

Authors:  Salvador Castaneda-Vega; Prateek Katiyar; Francesca Russo; Kristin Patzwaldt; Luisa Schnabel; Sarah Mathes; Johann-Martin Hempel; Ursula Kohlhofer; Irene Gonzalez-Menendez; Leticia Quintanilla-Martinez; Ulf Ziemann; Christian la Fougere; Ulrike Ernemann; Bernd J Pichler; Jonathan A Disselhorst; Sven Poli
Journal:  Theranostics       Date:  2021-01-01       Impact factor: 11.556

3.  RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation.

Authors:  Juan Miguel Valverde; Artem Shatillo; Riccardo De Feo; Olli Gröhn; Alejandra Sierra; Jussi Tohka
Journal:  Front Neurosci       Date:  2020-12-22       Impact factor: 4.677

  3 in total

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