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A Dynamic Programming Inspired Method for Boundary Detection in Ultrasound Image Sequences with Application to Brachial Artery Flow-Mediated Dilation (FMD) Studies

Peter Holdfeldt (Institutionen för signaler och system, Digitala bildsystem och bildanalys) ; Mats Viberg (Institutionen för signaler och system, Signalbehandling) ; Tomas Gustavsson (Institutionen för signaler och system, Digitala bildsystem och bildanalys)
Göteborg : Chalmers University of Technology, 2009.

This paper describes a new method for boundary detection in ultrasound image sequences with specific application to brachial artery flow-mediated dilation (FMD) studies. The method represents an extension to conventional two-dimensional dynamic programming to be applied in a three-dimensional (spatio-temporal) context. A total of 42 digital image sequences, each of which contained 240 frames, were analyzed. The majority (34) of these sequences were analyzed successfully, and a few (8) partly successful. Following automated boundary detection, vessel diameter extrema (minima and maxima) could easily be computed and used for FMD calculations. It was concluded that the new method, although optimality when moving from two to three dimensions cannot be guaranteed, outperforms conventional dynamic programming.

Nyckelord: brachial artery, flow-mediated vasodilation, endothelial dysfunction, ultrasound, boundary detection, dynamic programming

Denna post skapades 2009-04-20. Senast ändrad 2014-09-02.
CPL Pubid: 92660


Institutioner (Chalmers)

Institutionen för signaler och system, Digitala bildsystem och bildanalys (1900-2013)
Institutionen för signaler och system, Signalbehandling (1900-2017)



Chalmers infrastruktur

Ingår i serie

R - Department of Signals and Systems, Chalmers University of Technology R008/2009