1996
DOI: 10.1016/0730-725x(95)02059-3
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Measurement of pulsatile flow using MRI and a Bayesian technique of probability analysis

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Cited by 13 publications
(6 citation statements)
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“…The use of two points in q ‐space to measure velocity constitutes a phase subtraction technique (35). The use of more q ‐samples increases imaging time proportionately, but also increases the signal‐to‐noise ratio (SNR) of the resulting velocity maps (30, 31).…”
Section: Methodsmentioning
confidence: 99%
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“…The use of two points in q ‐space to measure velocity constitutes a phase subtraction technique (35). The use of more q ‐samples increases imaging time proportionately, but also increases the signal‐to‐noise ratio (SNR) of the resulting velocity maps (30, 31).…”
Section: Methodsmentioning
confidence: 99%
“…The present study extends the MRI approach to a detailed determination of flow patterns and cardiac wall motion within the heart and aorta during systole and diastole in anesthetized Wistar Kyoto (WKY) rats. It employs recently developed data‐processing and motion‐encoding acquisition strategies (30, 31) to improve velocity measurement using a PC technique combined with a gradient‐echo cine imaging sequence. Our analysis establishes the direction and magnitude of blood flow in three spatial dimensions, as well as its variation with time through the cardiac cycle, and provides a basic description of the cardiac flow patterns in multiple image planes covering the heart.…”
mentioning
confidence: 99%
“…Bayesian analysis has previously been used in a variety of MR applications [7][8][9][10]. It has been shown to improve the recovery of an MR spectrum from noisy data [7] and to improve the accuracy of flow measurements by enabling a sparse sampling procedure to be used [9].…”
Section: Introductionmentioning
confidence: 99%
“…Bayesian analysis has previously been used to reconstruct spectral data in NMR [19][20][21], estimate velocity and diffusion during pulsatile flow [21], and to obtain measurements of bubble size distributions in gas-liquid flows [22]. In the Bayesian approach to data analysis, we seek to identify a particular parameter of interest, and do not necessarily require the reconstruction of an entire image.…”
Section: Introductionmentioning
confidence: 99%