Title
In-Vitro Validation of a Novel Model-Based Approach to the Measurement of Arterial Blood Flow Waveforms from Dynamic Digital X-ray Images
Abstract
We have developed a blood flow waveform shape model using principal component analysis (PCA) and applied this to our existing concentration-distance curve matching technique for the extraction of flow waveforms from dynamic digital x-ray images. The aim of the study was to validate the system using a moving-vessel flow phantom. Instantaneous recording of flow from an electromagnetic flow meter (EMF) provided the “gold standard” measurement. A model waveform was constructed from 256 previously recorded waveforms from the EMF using PCA. Flow waveforms were extracted from parametric images derived from dynamic x-ray data by finding the parameters of the shape model that minimized the mean value of our cost function. The computed waveforms were compared to the EMF recordings. The model-based approach produced narrower limits of agreement with the EMF data than our previously developed algorithms and, in the presence of increasing noise in the parametric images, it out-performed the other algorithms.
Year
DOI
Venue
2001
10.1007/3-540-45468-3_35
Medical Image Computing and Computer-Assisted Intervention
Keywords
Field
DocType
flow waveform,moving-vessel flow,shape model,model waveform,blood flow waveform shape,computed waveform,emf data,emf recording,in-vitro validation,electromagnetic flow meter,novel model-based approach,dynamic digital x-ray images,parametric image,arterial blood flow waveforms,blood flow,cost function,principal component analysis,flow measurement,whole blood,gold standard
Computer vision,Magnetic flow meter,Blood flow,Computer science,Curve matching,Imaging phantom,Flow (psychology),Waveform,Parametric statistics,Artificial intelligence,Principal component analysis
Conference
ISBN
Citations 
PageRank 
3-540-42697-3
2
1.46
References 
Authors
1
5
Name
Order
Citations
PageRank
Kawal Rhode115021.01
Gareth Ennew221.46
Tryphon Lambrou36712.93
Alexander M Seifalian4728.65
David J. Hawkes54262470.26