Motion compensation of ultrasonic perfusion images
2012
Contrast-enhanced ultrasound (CEUS) is a rapid and inexpensive medical imaging technique to assess tissue
perfusion with a high temporal resolution. It is composed of a sequence with ultrasound brightness values and a
contrast sequence acquired simultaneously. However, the image acquisition is disturbed by various motion influences.
Registration is needed to obtain reliable information of spatial correspondence and to analyze perfusion
characteristics over time. We present an approach to register an ultrasonography sequence by using a feature
label map. This label map is generated from the b-mode data sequence by a Markov-Random-Field (MRF)
based analysis, where each location is assigned to one of the user-defined regions according to its statistical
parameters. The MRF reduces the chance that outliers are represented in the label map and provides stable
feature labels over the time frames. A registration consisting of rigid and non-rigid transformations is determined
consecutively using the generated label map of the respective frames for similarity calculation. For evaluation,
the standard deviation within specific regions in intestinal CEUS images has been measured before and after
registration resulting in an average decrease of 8.6 %. Additionally, this technique has proven to be more robust
against noise influence compared to similarity calculation based on image intensities only. The latter leads only
to 7.6 % decrease of the standard deviation.
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