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. 2012 Mar;28(3):479-89.
doi: 10.1007/s10554-011-9843-0. Epub 2011 Mar 19.

Impact of analyzing fewer image frames per segment during offline volumetric radiofrequency-based intravascular ultrasound measurements of target lesions prior to percutaneous coronary interventions

Jennifer Huisman  1 , Marc Hartmann, Gary S Mintz, Gert K van Houwelingen, Martin G Stoel, Frits H A F de Man, Hans W Louwerenburg, Clemens von Birgelen
Affiliations

Impact of analyzing fewer image frames per segment during offline volumetric radiofrequency-based intravascular ultrasound measurements of target lesions prior to percutaneous coronary interventions

Jennifer Huisman et al. Int J Cardiovasc Imaging. 2012 Mar.

Abstract

In the present study, we evaluated the impact of a 50% reduction in number of image frames (every second frame) on the analysis time and variability of offline volumetric radiofrequency-based intravascular ultrasound (RF-IVUS) measurements in target lesions prior to percutaneous coronary interventions (PCI). Volumetric RF-IVUS data of vessel geometry and plaque composition are generally obtained by a semi-automated analysis process that includes time-consuming manual contour editing. A reduction in the number of frames used for volumetric analysis may speed up the analysis, but could increase measurement variability. We repeatedly performed offline volumetric analyses in RF-IVUS image sets of 20 mm-long coronary segments that contained 30 de novo lesions prior to PCI. A 50% reduction in frames decreased the analysis time significantly (from 57.5 ± 7.3 to 35.7 ± 3.7 min; P < 0.0001) while geometric and compositional RF-IVUS measurements did not differ significantly from measurements obtained from all frames. The variability between measurements on the reduced number of frames versus all frames was comparable to the intra-observer measurement variability. In target lesions prior to PCI, offline volumetric RF-IVUS analyses can be performed using a reduced number of image frames (every second frame). This reduces the time of analysis without substantially increasing measurement variability.

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Figures

Fig. 1
Fig. 1
Different ways of RF-IVUS data analysis and generation of volumetric data. In Analysis I and II automated contour detection with (visual check and) manual contour editing was performed on every cross-sectional image frame. In Analysis III, following the automated contour detection performed on all image frames by the pcVH software, the contours of every second frame were skipped (i.e., no check or editing of these contours that were not used for any calculation). Manual contour editing of this reduced number of image frames was then performed in order to generate new volumetric data [19]
Fig. 2
Fig. 2
Agreement of repeated RF-IVUS measurements of volumetric geometrical data. Agreement for intra-observer comparisons (re-analysis based on all image frames; Analysis I versus Analysis II) and comparison of reduced number of frames versus analysis of all frames (Analysis I versus Analysis III). Mean difference (Δ) did not differ significantly between both comparisons
Fig. 3
Fig. 3
Agreement of repeated RF-IVUS measurements of volumetric compositional data. Agreement for intra-observer comparisons (re-analysis based on all image frames; Analysis I versus Analysis II) and comparison of reduced number of frames versus analysis of all frames (Analysis I versus Analysis III). Mean difference (Δ) did not differ significantly between both comparisons
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