2015
DOI: 10.3174/ajnr.a4583
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Automated Cross-Sectional Measurement Method of Intracranial Dural Venous Sinuses

Abstract: BACKGROUND AND PURPOSE:MRV is an important blood vessel imaging and diagnostic tool for the evaluation of stenosis, occlusions, or aneurysms. However, an accurate image-processing tool for vessel comparison is unavailable. The purpose of this study was to develop and test an automated technique for vessel cross-sectional analysis.

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Cited by 20 publications
(15 citation statements)
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“…Concurring with previous studies, we demonstrated that all four principal cranial blood sinuses investigated had significantly increased cross‐sectional areas after LP. There were no significant differences between cross‐sectional area data after LP and that of controls.…”
Section: Discussionsupporting
confidence: 89%
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“…Concurring with previous studies, we demonstrated that all four principal cranial blood sinuses investigated had significantly increased cross‐sectional areas after LP. There were no significant differences between cross‐sectional area data after LP and that of controls.…”
Section: Discussionsupporting
confidence: 89%
“… Cross‐sectional vessel analysis was performed using the recently reported automated algorithm for quantification of vessel cross‐sectional changes (Fig. ).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We can see from Table 1 that the shape of the sinuses of all groups was midway between that of a circle and triangle and not significantly different to each other. The sagittal sinus circularity has been previously published in control subjects and is 0.77 [7], which is not significantly different to the current study.…”
Section: Discussionsupporting
confidence: 58%
“…The shape of the sinuses was tested by calculating the circularity. Circularity is defined by the formula where A is the cross-sectional area in mm 2 and L the circumference in mm [7]. It can be seen that a circle of radius R would return a circularity value of 1.…”
Section: Discussionmentioning
confidence: 99%