Retrospective motion correction in digital subtraction angiography: a review

Abstract

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.

Dynamic Layer Separation for Coronary DSA and Enhancement in Fluoroscopic Sequences

“…In X-ray imaging, the intensity of the energy flux undergoes exponential attenuation through layers of tissues, resulting in multiplicative transparency [4]. With logarithmic postprocessing, fluoroscopic images are represented by an additive model consisting of multiple layers.…”

“…In cardiac fluoroscopic sequences, both static bone tissues and tissues undergoing a mixture of cardiac and respiratory movements can be seen in transparency. Existing techniques of motion correction [4] remain largely insufficient in dealing with such complex motion. Related work has been reported in dealing with transparent motion [1,2,5,6].…”

Complexity prediction of automatic image registration: A case study on motion-compensated DSA

“…Many measures have been proposed for the registration of X-ray angiography images [3]. In our case study, template matching is performed based on the Energy of the Histogram (H) of Differences (EHD), specified by:…”

“…This alignment operation is often referred to as image registration. Many semi-or even fully automatic registration techniques have been developed over the past two decades [3]. In [4], an approach has been developed for registration of angiographic image sequences which is effective and computationally efficient.…”

“…We restrict ourselves to X-ray interventional imaging with a case study on image registration for Digital Subtraction Angiography (DSA) [3]. Eye-hand coordination is an important aspect in clinical practice, requiring low-latency imaging.…”