scholarly journals Brain White Matter Hyperintensity Lesion Characterization in T2 Fluid-Attenuated Inversion Recovery Magnetic Resonance Images: Shape, Texture, and Potential Growth

2019 ◽  
Vol 13 ◽  
Author(s):  
Chih-Ying Gwo ◽  
David C. Zhu ◽  
Rong Zhang
Keyword(s):  
White Matter ◽  
Magnetic Resonance ◽  
Magnetic Resonance Images ◽  
Inversion Recovery ◽  
White Matter Hyperintensity ◽  
Potential Growth ◽  
Brain White Matter ◽  
Fluid Attenuated Inversion Recovery ◽  
Lesion Characterization

scholarly journals Multiple sclerosis: High prevalence of the ‘central vein’ sign in white matter lesions on susceptibility-weighted images

2018 ◽  
Vol 31 (4) ◽  
pp. 356-361 ◽  
Author(s):  
Gianvincenzo Sparacia ◽  
Francesco Agnello ◽  
Angelo Gambino ◽  
Martina Sciortino ◽  
Massimo Midiri
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Magnetic Resonance ◽  
Small Vessel Disease ◽  
White Matter Lesions ◽  
Magnetic Resonance Images ◽  
Inversion Recovery ◽  
Central Vein ◽  
Fluid Attenuated Inversion Recovery ◽  
The Difference

Purpose The aim of this study was to determine the occurrence and distribution of the ‘central vein’ sign in white matter lesions on susceptibility-weighted magnetic resonance images in patients with multiple sclerosis (MS) and cerebral small vessel disease (CSVD). Materials and methods T2-weighted and fluid-attenuated inversion recovery magnetic resonance images of 19 MS patients and 19 patients affected by CSVD were analysed for the presence and localisation of focal hyperintense white matter lesions. Lesions were subdivided into periventricular or non-periventricular (juxtacortical, subcortical, deep white matter and cerebellar) distributed. The number and localisation of lesions presenting with the central vein sign were recorded and compared between MS and CSVD lesions. Results A total of 313 MS patients and 75 CSVD lesions were identified on T2-weighted and fluid-attenuated inversion recovery magnetic resonance images. The central vein sign was found in 128 MS lesions (40.9%), and the majority of them (71/128, 55.5%) had a periventricular distribution. The central vein sign was found in 22 out of 75 (29.3%) CSVD lesions, and periventricular distribution was seen in six out of 22 (27.2%) CSVD lesions. The difference in the proportion of white matter hyperintense lesions that presented with the central vein sign on susceptibility-weighted images in patients with MS and CSVD was statistically different, and a significantly higher number of MS patients presented with lesions with the central vein sign compared to CSVD patients. Conclusion The presence of the central vein sign on susceptibility-weighted images for MS lesions improves the understanding of the periventricular distribution of MS lesions and could contribute as adjunctive diagnostic criteria for MS disease.

scholarly journals Etiology-based classification of brain white matter hyperintensity on magnetic resonance imaging

2015 ◽  
Vol 2 (1) ◽  
pp. 014002 ◽  
Author(s):  
Mariana Leite ◽  
Letícia Rittner ◽  
Simone Appenzeller ◽  
Heloísa Helena Ruocco ◽  
Roberto Lotufo
Keyword(s):  
Magnetic Resonance Imaging ◽  
White Matter ◽  
Magnetic Resonance ◽  
White Matter Hyperintensity ◽  
Resonance Imaging ◽  
Brain White Matter

scholarly journals Automated White Matter Hyperintensity Detection in Multiple Sclerosis Using 3D T2 FLAIR

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Yi Zhong ◽  
David Utriainen ◽  
Ying Wang ◽  
Yan Kang ◽  
E. Mark Haacke
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Gray Matter ◽  
Signal Intensity ◽  
High Spatial Frequency ◽  
Inversion Recovery ◽  
White Matter Hyperintensity ◽  
Mr Images ◽  
Automated Algorithm ◽  
Fluid Attenuated Inversion Recovery

White matter hyperintensities (WMH) seen on T2WI are a hallmark of multiple sclerosis (MS) as it indicates inflammation associated with the disease. Automatic detection of the WMH can be valuable in diagnosing and monitoring of treatment effectiveness. T2 fluid attenuated inversion recovery (FLAIR) MR images provided good contrast between the lesions and other tissue; however the signal intensity of gray matter tissue was close to the lesions in FLAIR images that may cause more false positives in the segment result. We developed and evaluated a tool for automated WMH detection only using high resolution 3D T2 fluid attenuated inversion recovery (FLAIR) MR images. We use a high spatial frequency suppression method to reduce the gray matter area signal intensity. We evaluate our method in 26 MS patients and 26 age matched health controls. The data from the automated algorithm showed good agreement with that from the manual segmentation. The linear correlation between these two approaches in comparing WMH volumes was found to beY=1.04X+1.74  (R2=0.96). The automated algorithm estimates the number, volume, and category of WMH.

Cerebral Swelling after Normothermic Cardiopulmonary Bypass 

1998 ◽  
Vol 88 (2) ◽  
pp. 340-345 ◽  
Author(s):  
David N. F. Harris ◽  
Angela Oatridge ◽  
Darryl Dob ◽  
Peter L. C. Smith ◽  
Kenneth M. Taylor ◽  
...  
Keyword(s):  
Cardiopulmonary Bypass ◽  
Coronary Artery ◽  
Magnetic Resonance ◽  
Coronary Artery Bypass Surgery ◽  
Bypass Surgery ◽  
Artery Bypass ◽  
Magnetic Resonance Images ◽  
Inversion Recovery ◽  
Ventricular Size ◽  
Fluid Attenuated Inversion Recovery

Background Marked cerebral swelling visible on magnetic resonance images has been found immediately after hypothermic (28 degrees C) cardiopulmonary bypass. The mechanism is unknown, but indices of cerebral ischemia are seen during rewarming from hypothermic bypass that are not present with normothermic bypass (37 degrees C). Methods T1-weighted and fluid-attenuated inversion recovery magnetic resonance images were taken of seven patients undergoing routine coronary artery bypass surgery before, 1 h, and 7 days after the operation using normothermic bypass. Results Marked cerebral swelling was seen in fluid-attenuated inversion recovery images in five of seven patients 1 h after bypass. Scans in four patients taken 7 days after bypass showed that the cerebral swelling had returned to normal. There was no change in cerebral ventricular size, and all patients had uncomplicated postoperative courses. Conclusions Normothermic bypass is followed by acute postoperative cerebral swelling. However, the amount of swelling was similar to that found in a previous study after hypothermic bypass. The mechanism of swelling is still obscure, and its relation to neurologic outcome is unknown.

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