Sulcal Hyperintensity on Fluid-Attenuated Inversion Recovery MR Images in Patients Without Apparent Cerebrospinal Fluid Abnormality

2001 ◽  
Vol 176 (2) ◽  
pp. 519-524 ◽  
Author(s):  
Toshiaki Taoka ◽  
William T. C. Yuh ◽  
Matthew L. White ◽  
Jerome P. Quets ◽  
Joan E. Maley ◽  
...  
2009 ◽  
Vol 30 (5) ◽  
pp. 911-916 ◽  
Author(s):  
M. Neema ◽  
Z.D. Guss ◽  
J.M. Stankiewicz ◽  
A. Arora ◽  
B.C. Healy ◽  
...  

2005 ◽  
Vol 20 (4) ◽  
pp. 327-331 ◽  
Author(s):  
Tsuyoshi Miyaoka ◽  
Rei Yasukawa ◽  
Takumi Mihara ◽  
Shoichi Mizuno ◽  
Hideaki Yasuda ◽  
...  

AbstractBackgroundPatients with schizophrenia show a significantly higher frequency of hyperbilirubinemia the patients suffering from other psychiatric disorders and the general healthy population. The objective of the current study was to determine whether patients with schizophrenia-associated idiopathic unconjugated hyperbilirubinemia (Gilbert's syndrome, GS) have specific changes in signal intensities on fluid-attenuated inversion-recovery (FLAIR) magnetic resonance (MR) images.MethodsAxial 5-mm-thick FLAIR MR images from schizophrenia patients with GS (n = 18) and schizophrenia patients without GS (n = 18), all diagnosed according to DSM-IV criteria, were compared with age- and sex-matched non-psychiatric controls (n = 18). Signal intensities in the hippocampus, amygdala, caudate, putamen, thalamus, cingulate gyrus, and insula were graded relative to cortical signal intensity in the frontal lobe.ResultsCompared to both schizophrenia patients without GS and normal controls, the schizophrenia patients with GS showed significantly increased signal intensities in almost all regions studied.ConclusionPatients with schizophrenia-associated GS have specific changes of signal intensities on FLAIR MR images, suggesting that schizophrenia with GS produces changes in the fronto-temporal cortex, limbic system, and basal ganglia.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Yi Zhong ◽  
David Utriainen ◽  
Ying Wang ◽  
Yan Kang ◽  
E. Mark Haacke

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.


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