Pseudo-inverse filtering of IVUS images

Young, W.F.; McLaughlin, Stephen

doi:10.1049/ip-smt:19982323

Cited by 2 publications

(1 citation statement)

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“…A straightforward strategy is to discard those images containing too many artifacts [14]. More elaborated approaches [7], [21] directly handle raw data and filter impulse responses of the transducer. Unfortunately, raw data acquisition needs a special device not always available in standard clinical equipments.…”

Section: Introductionmentioning

confidence: 99%

Statistical strategy for anisotropic adventitia modelling in IVUS

Gil

Hernàndez

Rodríguez

et al. 2006

IEEE Trans. Med. Imaging

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Vessel plaque assessment by analysis of intravascular ultrasound sequences is a useful tool for cardiac disease diagnosis and intervention. Manual detection of luminal (inner) and media-adventitia (external) vessel borders is the main activity of physicians in the process of lumen narrowing (plaque) quantification. Difficult definition of vessel border descriptors, as well as, shades, artifacts, and blurred signal response due to ultrasound physical properties trouble automated adventitia segmentation. In order to efficiently approach such a complex problem, we propose blending advanced anisotropic filtering operators and statistical classification techniques into a vessel border modelling strategy. Our systematic statistical analysis shows that the reported adventitia detection achieves an accuracy in the range of interobserver variability regardless of plaque nature, vessel geometry, and incomplete vessel borders.

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Section: Introductionmentioning

confidence: 99%