Article

Cerebral infarction associated with moyamoya disease: histogram-based quantitative analysis of diffusion tensor imaging - a preliminary study

Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, Kyoto 606-8507, Japan.
Magnetic Resonance Imaging (Impact Factor: 2.02). 08/2008; 26(6):835-40. DOI: 10.1016/j.mri.2008.01.036
Source: PubMed

ABSTRACT Moyamoya disease (MMD) is a rare disorder of unknown etiology in which terminal portions of the internal carotid arteries become steno-occlusive, with fine collateral "moyamoya vessels" formed secondarily, resulting in serial ischemic strokes throughout its clinical course. Whole-brain histogram (WBH) of diffusion tensor imaging (WBH-DTI) is an analytical tool whose feasibility has been ascertained in various pathologies. To elucidate whether WBH-DTI could detect any difference between ischemic MMD and normal controls, we examined 27 consecutive MMD patients without hemorrhage and 48 normal controls in this prospective study using a 3.0-T magnetic resonance scanner. WBHs of fractional anisotropy (FA) (WBH-FA) and mean diffusivity (MD) (WBH-MD) were compared among three groups: Group 1, MMD patients with infarct (n=15); Group 2, MMD patients without infarct (n=12); and Group 3, normal controls (n=48). Group 1 showed significantly higher peak height and significantly lower mean value on WBH-FA, as well as significantly lower peak height and significantly higher mean value on WBH-MD, compared with Groups 2 and 3. No significant difference was seen in parameters at either WBH-FA or WBH-MD between Groups 2 and 3. These results might reflect the pathological severity of each group, and WBH-DTI could feasibly detect differences between ischemic MMD with infarction and MMD without infarction and normal controls.

0 Followers
 · 
93 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Automatic or semi-automatic segmentation and tracking of artery trees from computed tomography angiography (CTA) is an important step to improve the diagnosis and treatment of artery diseases, but it still remains a significant challenging problem. In this paper, we present an artery extraction method to address the challenge. The proposed method consists of two steps: (1) a geometric moments based tracking to secure a rough centerline, and (2) a fully automatic generalized cylinder structure-based snake method to refine the centerlines and estimate the radii of the arteries. In this method, a new line direction based on first and second order geometric moments is adopted while both gradient and intensity information are used in the snake model to improve the accuracy. The approach has been evaluated on synthetic images as well as 8 clinical coronary CTA images with 32 coronary arteries. Our method achieves 94.7% overlap tracking ability within an average distance inside the vessel of 0.36 mm.
    Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 01/2010; 2010:3133-7. DOI:10.1109/IEMBS.2010.5627192
  • [Show abstract] [Hide abstract]
    ABSTRACT: Current clinical studies involve multidimensional high-resolution images containing an overwhelming amount of structural and functional information. The analysis of such a wealth of information is becoming increasingly difficult yet necessary in order to improve diagnosis, treatment and healthcare. Voxel-wise analysis is a class of modern methods of image processing in the medical field with increased popularity. It has replaced manual region of interest (ROI) analysis and has provided tools to make statistical inferences at voxel level. The introduction of voxel-based analysis software in all modern commercial scanners allows clinical use of these techniques. This review will explain the main principles, advantages and disadvantages behind these methods of image analysis.
    Pediatric Radiology 05/2010; 40(12):1857-67. DOI:10.1007/s00247-010-1677-8 · 1.65 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: This study performed diffusion tensor imaging (DTI) histogram analysis and voxel-based analysis (VBA) to detect white matter (WM) damage in patients with vascular cognitive impairment with no dementia (VCIND) and to determine correlations between DTI histogram-derived measures and cognitive dysfunction in these patients. Among patients with subcortical ischemic vascular disease, 18 patients with VCIND were selected along with 18 age- and sex-matched cognitive-normal subjects. Both groups underwent magnetic resonance and DTI scans, and fractional anisotropy (FA) changes in VBA between the two groups were assessed. Further, mean diffusivity (MD) and FA histograms of WM and normal-appearing WM (NAWM) in each subject were evaluated. Compared to control, the VCIND group showed lower FA values throughout the brain. FA and MD histogram patterns of WM and NAWM were significantly different between the groups. Significant differences were found in all DTI histogram-derived measures, except in the mean FA peak height of WM and mean MD peak location of NAWM. Neuropsychological results (z-scores) were found to be significantly correlated with mean FA peak location, average MD, mean MD peak location of WM, and mean FA peak height, average MD, mean MD peak location of NAWM. Results of VBA and diffusion tensor imaging-based histogram analysis suggest that VCIND patients have more severe damage in WM and NAWM than the control. Thus, the severity of damage in WM and NAWM may be related with cognitive dysfunction in VCIND patients, and DTI histogram analysis can help in further understanding VCIND.
    Clinical neurology and neurosurgery 10/2010; 113(2):92-7. DOI:10.1016/j.clineuro.2010.09.007 · 1.25 Impact Factor