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Abstract--We present a new technique to delineate lumen borders in intravascular ultrasound (IVUS) volumes of images
 

Summary: Abstract--We present a new technique to delineate lumen
borders in intravascular ultrasound (IVUS) volumes of images
acquired with a high-frequency Volcano (Rancho Cordova,
CA) 45MHz transducer. Our technique relies on projection of
IVUS sub-volumes onto orthogonal directional brushlet
functions. Through selective projection of IVUS sub-volumes
images and their Fourier transforms, tissue-specific
backscattered magnitudes and phases identified within brushlet
coefficients. We take advantage of such characteristics and
construct 2.5-dimensional (2.5-D) magnitudes-phase histograms
of coefficients in the transformed complex brushlet domain that
contain distinct peaks corresponding to blood and non-blood
regions. We exploit these peaks to mask out coefficients that
represent blood regions and ultimately detect the luminal
border after spatial regularization employing a parametric
deformable model. We quantify our results by comparing them
to manually traced borders by an expert on 2 datasets,
containing 108 frames. We show that our approach is well
suited for isolating coherent (i.e. plaque) structures from
incoherent (i.e. blood) ones in IVUS pullbacks and detecting the

  

Source: Angelini, Elsa -Département Traitement du Signal et des Images, Telecom ParisTech
Laine, Andrew F, - Department of Biomedical Engineering, Columbia University

 

Collections: Biology and Medicine; Engineering