Peripheral DSA with automated stepping

Fink, U.; Heywang, Sylvia H.; Hilbertz, T.; Fischer, Kai; Jenner, Edward; Buchsteiner, W.

doi:10.1016/0720-048x(91)90056-2

Cited by 14 publications

(4 citation statements)

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“…Multiplicative variations were corrected by computing the ratio of the averages of grey-values in the contrast and transformed mask image, r = I / I 0 , and by multiplying the grey-values in the mask image with this factor. 41 The exact same approach was later used by Ko et al [76]. Similar approaches for multiplicative and additive distortion correction were reported by Wu et al [166] and Cox & De Jager [32].…”

Section: Ive Grey-level Distortion Correctionmentioning

confidence: 78%

“…Sudden motion of arms and legs degrades the visualization of peripheral arteries [56,144]. When using automated stepping, the time span between the acquisitions of mask and contrast images is relatively large, and therefore patient motion frequently occurs [41]. Especially in examinations of the lower peripheral vasculature, artifacts can be very misleading, since the lateral displacement of a leg may produce artifacts along bone-tissue transitions that very much resemble vessels [160].…”

Section: Iia Examples Of Motion Artifactsmentioning

confidence: 99%

“…Immobilization of the head prevents motion artifacts in DSA images of the neck and head [40,138]. This technique can also be applied to peripheral DSA [41]. To some extent, artifacts caused by respiratory motion can be avoided by applying generous amounts of oxygen before injection, thereby allowing patients to hold their breath for a longer period of time [77].…”

Section: Iib Patient-related Solutionsmentioning

confidence: 99%

“…See footnote 13 41. In order to prevent pixels corresponding to contrasted blood vessels to spoil these processes, they were left out of the computations of average values.…”

mentioning

confidence: 99%

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Retrospective motion correction in digital subtraction angiography: a review

Meijering

Niessen

Viegever³

1999

IEEE Trans. Med. Imaging

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Digital subtraction angiography (DSA) is a well-established modality for the visualization of blood vessels in the human body. A serious disadvantage of this technique, inherent to the subtraction operation, is its sensitivity to patient motion. The resulting artifacts frequently reduce the diagnostic value of the images. Over the past two decades, many solutions to this problem have been put forward. In this paper, we give an overview of the possible types of motion artifacts and the techniques that have been proposed to avoid them. The main purpose of this paper is to provide a detailed review and discussion of retrospective motion correction techniques that have been described in the literature, to summarize the conclusions that can be drawn from these studies, and to provide suggestions for future research.

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Section: Ive Grey-level Distortion Correctionmentioning

confidence: 78%

Section: Iia Examples Of Motion Artifactsmentioning

confidence: 99%

Section: Iib Patient-related Solutionsmentioning

confidence: 99%

“…See footnote 13 41. In order to prevent pixels corresponding to contrasted blood vessels to spoil these processes, they were left out of the computations of average values.…”

mentioning

confidence: 99%

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