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Regurgitation quantification using 3D PISA in volume echocardiography.
- Source :
-
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention [Med Image Comput Comput Assist Interv] 2011; Vol. 14 (Pt 3), pp. 512-9. - Publication Year :
- 2011
-
Abstract
- 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.
- Subjects :
- Algorithms
Automation
Blood Flow Velocity
Cardiology methods
Coronary Circulation
Humans
Imaging, Three-Dimensional
Mitral Valve pathology
Models, Statistical
Pattern Recognition, Automated
Phantoms, Imaging
Software
Echocardiography methods
Mitral Valve Insufficiency pathology
Ultrasonography, Doppler methods
Subjects
Details
- Language :
- English
- Volume :
- 14
- Issue :
- Pt 3
- Database :
- MEDLINE
- Journal :
- Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
- Publication Type :
- Academic Journal
- Accession number :
- 22003738
- Full Text :
- https://doi.org/10.1007/978-3-642-23626-6_63