A new method of analysing indicator dilution curves

Linton, R. A. F.; Linton, N; Band, David

doi:10.1016/s0008-6363(95)00146-8

Cited by 20 publications

(16 citation statements)

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“…Several models are proposed in the literature for the IDC fitting. Here, we adopt and compare the lognormal and the gamma models (8,9). These models, despite their poor description of the diffusion process physics, are widely used for IDC fitting, and they are implemented in several commercial software packages for IDC analysis.…”

Section: Mtt Estimationmentioning

confidence: 99%

“…where k l is a scale factor, and and are the mean and standard deviation of the Normal distribution, respectively (8). The standard deviation, , determines the skewness of the IDC while the mean, , is a time related parameter.…”

Section: Mtt Estimationmentioning

confidence: 99%

“…[1] Due to the recirculation of the indicator in the heart after passage through the systemic vessels, the analysis of the first pass IDC requires the employment of specific models. Several models can be found in the literature for the IDC fitting and interpretation (7)(8)(9).…”

mentioning

confidence: 99%

“…The derived IDCs are interpreted by dedicated analysis and models (8,9). The ITBV can simply be derived by estimating the difference in MTT of the RV and LV IDC and multiplying its value by the CO as given in Eq.…”

mentioning

confidence: 99%

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Intra‐thoracic blood volume measurement by contrast magnetic resonance imaging

Mischi¹,

Bosch²,

Boer³

et al. 2009

Magnetic Resonance in Med

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The intra-thoracic blood volume (ITBV) is a cardiovascular parameter related to the cardiac preload and left ventricular function. Its assessment is, therefore, important for diagnosis and follow-up of several cardiovascular dysfunctions. Nowadays, the ITBV can be accurately measured only by invasive indicator dilution techniques, which require a double catheterization of the patient. In this study, a novel technique is presented for ITBV assessment by dynamic magnetic resonance imaging after intravenous injection of a small bolus of gadolinium chelate.

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Section: Mtt Estimationmentioning

confidence: 99%

Section: Mtt Estimationmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Intra‐thoracic blood volume measurement by contrast magnetic resonance imaging

Mischi¹,

Bosch²,

Boer³

et al. 2009

Magnetic Resonance in Med

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show abstract

“…This approach was often criticized due to its pure mathematical description without physiological background. Nevertheless, a modified and theoretical justified lognormal model (LNM) for the analysis of IDCs was presented by Linton et al (12): which is valid for t > AT, where t is the time variable, μ the horizontal scaling, σ the vertical scaling, α the skewness parameter, and AT the appearance time.…”

Section: Hemodynamic Analysis: State Of the Artmentioning

confidence: 99%

Reference‐based linear curve fitting for bolus arrival time estimation in 4D MRA and MR perfusion‐weighted image sequences

Forkert

Fiehler

Ries

et al. 2010

Magnetic Resonance in Med

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The bolus arrival time (BAT) based on an indicator dilution curve is an important hemodynamic parameter. As the direct estimation of this parameter is generally problematic, various parametric models have been proposed that describe typical physiological shapes of indicator dilution curves, but it remains unclear which model describes the real physiological background. This article presents a method that indirectly incorporates physiological information derived from the data available. For this, a patient-specific hemodynamic reference curve is extracted, and the corresponding reference BAT is determined. To estimate a BAT for a given signal curve, the reference curve is fitted linearly to the signal curve. The parameters of the fitting process are then used to transfer the reference BAT to the signal curve. The validation of the method proposed based on Monte Carlo simulations showed that the approach presented is capable of improving the BAT estimation precision compared with standard BAT estimation methods by up to 59% while at the same time reduces the computation time. A major benefit of the method proposed is that no assumption about the underlying distribution of indicator dilution has to be made, as it is implicitly modeled in the reference curve. Magn Reson Med 65:289-294, 2011. V C 2010 Wiley-Liss, Inc. Key words: magnetic resonance angiography; indicator dilution techniques; hemodynamics; curve fitting; computer simulation Indicator dilution techniques depend on the fact that an indicator substance is injected into a blood vessel upstream and dilutes downstream, where its concentration time curve, often referred to as indicator dilution curve (IDC) (1), can be measured using a variety of techniques. In general, an IDC s(t) represents the density of the applied contrast agent at time point t.The history of indicator dilution methods for blood flow quantification is long. Already in 1824, Hering introduced an indicator dilution method for measuring blood velocity; since then, these methods have been successfully applied in metabolic and circulatory studies (2). Examples for clinical applications of IDCs involve cardiac output quantification (3), detection of brain ischemia (4), analysis of pathological blood flow changes caused by vascular malformations, (5) or characterization of brain tumor vascularization (6).Classically, IDCs were obtained by catheter based acquisition of dye-dilution and thermodilution curves. The development of improved imaging techniques such as digital subtraction angiography and four-dimensional (4D) MRI made it possible to assess the hemodynamic situation of the whole vascular system.The digital subtraction angiography has historically been central for diagnosis and treatment of many central nervous system diseases. However, it is an invasive procedure with potentially severe complications, but the spatial (0.2 mm) and temporal resolution (0.25 sec) remain incomparable. Recent development of 4D MR angiography (MRA) enables an improved rating of cerebral diseases, while reducin...

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Hemodynamic Monitoring

Tibby

2014

Pediatric Critical Care Medicine

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A new method of analysing indicator dilution curves

Cited by 20 publications

References 0 publications

Intra‐thoracic blood volume measurement by contrast magnetic resonance imaging

Intra‐thoracic blood volume measurement by contrast magnetic resonance imaging

Reference‐based linear curve fitting for bolus arrival time estimation in 4D MRA and MR perfusion‐weighted image sequences

Hemodynamic Monitoring

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