Measurement of flow velocity in the model circulation by videodensitometry. Methodological investigations

Fermor, U; Huber, Herbert; Neuhaus, Karl-Ludwig; Schmiel, F. K.; Spiller, P

doi:10.1007/bf01908390

Cited by 14 publications

(6 citation statements)

References 3 publications

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“…The first applications of videodensitometry to blood flow measurement were performed using analog densitometers integrating contrast density within specified areas of either x-ray cineangiographic films or fluoroscopic television image. [10][11][12] The advances in digital computing allowed for the replacement of analog densitometers with digital computer software processing digital images, obtained either by digitizing analog cine films 13,14 or directly from a fully digital x-ray angiography scanner. 15 Generally, all techniques can be divided into two major classes: tracking and computational methods.…”

Section: Overviewmentioning

confidence: 99%

“…3͑b͒. 17,18 The resulting method, usually known as half-peak-to-half-peak transit time, was used for measurement of blood flow in human 26 human coronary arteries, 45 canine femoral arteries, 46,47 human aorta, 15 human pulmonary arteries, 48 human iliac arteries, 35 in vitro flow phantom 12,26,35,41,43 and for measurement of canine coronary regional blood flow. 49 ͑3͒ Time-of-trailing half-peak opacification-the bolus is considered to have arrived when the time-density curve achieves half of its peak density for the second time.…”

Section: Bolus Arrival Times From Time-density Curvesmentioning

confidence: 99%

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X-ray videodensitometric methods for blood flow and velocity measurement: A critical review of literature

et al. 2000

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Blood flow rate and velocity are important parameters for the study of vascular systems, and for the diagnosis, monitoring and evaluation of treatment of cerebro- and cardiovascular disease. For rapid imaging of cerebral and cardiac blood vessels, digital x-ray subtraction angiography has numerous advantages over other modalities. Roentgen-videodensitometric techniques measure blood flow and velocity from changes of contrast material density in x-ray angiograms. Many roentgen-videodensitometric flow measurement methods can also be applied to CT, MR and rotational angiography images. Hence, roentgen-videodensitometric blood flow and velocity measurement from digital x-ray angiograms represents an important research topic. This work contains a critical review and bibliography surveying current and old developments in the field. We present an extensive survey of English-language publications on the subject and a classification of published algorithms. We also present descriptions and critical reviews of these algorithms. The algorithms are reviewed with requirements imposed by neuro- and cardiovascular clinical environments in mind.

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Section: Overviewmentioning

confidence: 99%

Section: Bolus Arrival Times From Time-density Curvesmentioning

confidence: 99%

X-ray videodensitometric methods for blood flow and velocity measurement: A critical review of literature

et al. 2000

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“…The rise time is computed as: (6) The reference time is (the first appearance time). This method was also used for coronary artery flow estimations [15].…”

Section: F Rise Timementioning

confidence: 99%

“…x-ray cineangiographic films, fluoroscopic television imaging at the beginning [4][5][6], digital angiograms [7]. A review of the methods for estimating blood flow and velocity from x-ray angiograms, focused on large vessels such as arteries and veins, is presented in [8].…”

Section: Introductionmentioning

confidence: 99%

Transit time estimations from coronary angiograms

Tache

Itu

Niculescu

2014

2014 18th International Conference on System Theory, Control and Computing (ICSTCC)

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This X-ray angiography is the current gold standard for morphology based diagnosis of coronary arteries due to their spatial and temporal resolution. Transit time methods are applied on coronary angiograms to estimate the interval of time required for the contrast material to traverse the distance between two regions of interest. They represent an important prerequisite for estimating blood flow parameters like velocity or flow rate which characterize the hemodynamic patterns of blood vessels. In this article we perform an analysis of ten different transit time estimation methods on routine clinical angiographic data acquired at the Clinical Emergency Hospital of Bucharest by using the time density curves. Different coronary arteries are considered and the analysis is performed on raw data, filtered data and fitted data. The most robust methods are the mean transit time, the mean arrival time and the cross correlation method. Furthermore, the mean transit time and the cross correlation method tend to underestimate, while the rise time method tends to overestimate the transit time. Automated filtering and fitting methods improve the results significantly and should always be used in conjunction with transit time estimation methods.

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“…Theoretical assumptions must be made when this technique is used. A selective coronary artery injection does not produce uniform mixing of the contrast medium with blood, there being a layering of contrast medium at the bottom of the vessel; however, this nonuniformity of mixing does not affect the velocity measurements at the leading edge [25]. The force of injection of the contrast medium itself may contribute to changing the coronary flow [7].…”

Section: Limitations and Assumptionsmentioning

confidence: 99%

Blood velocity measurements during selective coronary angiography before and after percutaneous transluminal coronary angioplasty

Nishimura

Holmes

Bové

et al. 1988

Cathet. Cardiovasc. Diagn.

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The velocity of blood flowing down a coronary artery may provide an index of myocardial perfusion, independent of the need for measuring the amount of myocardium supplied by a vessel. The velocity of the leading edge of contrast material was therefore measured before and after percutaneous transluminal coronary angioplasty in 15 patients utilizing digitized images from routine coronary angiography. The velocity (mean +/- SD) before percutaneous transluminal coronary angioplasty in the 15 patients was 11.9 +/- 6.0 cm/s, increasing to 21.7 +/- 8.7 cm/s after (P less than 0.01). There was a correlation between the percent change in velocity and the change in percent stenosis before and after percutaneous transluminal coronary angioplasty (r = 0.65; P less than 0.001). The mean absolute interobserver and intraobserver variabilities for the velocity measurements were 2.1 and 1.8 cm/s, respectively. Measurement of coronary flow velocity from data obtained at the time of routine coronary angiography is an easily performed reproducible technique, which may be used to assess the results of an intervention such as percutaneous transluminal coronary angioplasty.

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Measurement of flow velocity in the model circulation by videodensitometry. Methodological investigations

Cited by 14 publications

References 3 publications

X-ray videodensitometric methods for blood flow and velocity measurement: A critical review of literature

X-ray videodensitometric methods for blood flow and velocity measurement: A critical review of literature

Transit time estimations from coronary angiograms

Blood velocity measurements during selective coronary angiography before and after percutaneous transluminal coronary angioplasty

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