TY - GEN
T1 - Regurgitation quantification using 3D PISA in volume echocardiography
AU - Grady, Leo
AU - Datta, Saurabh
AU - Kutter, Oliver
AU - Duong, Christophe
AU - Wein, Wolfgang
AU - Little, Stephen H.
AU - Igo, Stephen R.
AU - Liu, Shizhen
AU - Vannan, Mani
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011/12/1
Y1 - 2011/12/1
N2 - We present the first system for measurement of proximal isovelocity surface area (PISA) on a 3D ultrasound acquisition using modified ultrasound hardware, volumetric image segmentation and a simple efficient workflow. Accurate measurement of the PISA in 3D flow through a valve is an emerging method for quantitatively assessing cardiac valve regurgitation and function. Current state of the art protocols for assessing regurgitant flow require laborious and time consuming user interaction with the data, where a precise execution is crucial for an accurate diagnosis. We propose a new improved 3D PISA workflow that is initialized interactively with two points, followed by fully automatic segmentation of the valve annulus and isovelocity surface area computation. Our system is first validated against several in vitro phantoms to verify the calculations of surface area, orifice area and regurgitant flow. Finally, we use our system to compare orifice area calculations obtained from in vivo patient imaging measurements to an independent measurement and then use our system to successfully classify patients into mild-moderate regurgitation and moderate-severe regurgitation categories.
AB - We present the first system for measurement of proximal isovelocity surface area (PISA) on a 3D ultrasound acquisition using modified ultrasound hardware, volumetric image segmentation and a simple efficient workflow. Accurate measurement of the PISA in 3D flow through a valve is an emerging method for quantitatively assessing cardiac valve regurgitation and function. Current state of the art protocols for assessing regurgitant flow require laborious and time consuming user interaction with the data, where a precise execution is crucial for an accurate diagnosis. We propose a new improved 3D PISA workflow that is initialized interactively with two points, followed by fully automatic segmentation of the valve annulus and isovelocity surface area computation. Our system is first validated against several in vitro phantoms to verify the calculations of surface area, orifice area and regurgitant flow. Finally, we use our system to compare orifice area calculations obtained from in vivo patient imaging measurements to an independent measurement and then use our system to successfully classify patients into mild-moderate regurgitation and moderate-severe regurgitation categories.
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U2 - 10.1007/978-3-642-23626-6_63
DO - 10.1007/978-3-642-23626-6_63
M3 - Conference contribution
C2 - 22003738
AN - SCOPUS:82255181682
SN - 9783642236259
VL - 6893 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 512
EP - 519
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011
Y2 - 18 September 2011 through 22 September 2011
ER -