Regional Blood Flow, Capillary Permeability, and Compartmental Volumes: Measurement with Dynamic CT—Initial Experience

Brix, Gunnar; Bahner, M. L.; Hoffmann, Ulf; Horváth, Andrea; Schreiber, Wolfgang

doi:10.1148/radiology.210.1.r99ja46269

Cited by 180 publications

(147 citation statements)

References 39 publications

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“…While R CC1 (t) may be applicable for cerebral perfusion imaging, R CC2 (t) has been used in DCE MRI studies of various tumors (38)(39)(40)(41)(42)(43)(44)(45). Mammillary three-compartment CC models have also been devised for DCE MRI of the brain (46)(47)(48) and breast tumors (49), which revealed that tumor tissues can demonstrate kinetic heterogeneity with two or more interstitial compartments having different exchange rates.…”

Section: Conventional Compartmental (Cc) Modelsmentioning

confidence: 99%

Fundamentals of tracer kinetics for dynamic contrast‐enhanced MRI

Koh

Bisdas

Koh

et al. 2011

Magnetic Resonance Imaging

115

130

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Tracer kinetic methods employed for quantitative analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) share common roots with earlier tracer studies involving arterial-venous sampling and other dynamic imaging modalities. This article reviews the essential foundation concepts and principles in tracer kinetics that are relevant to DCE MRI, including the notions of impulse response and convolution, which are central to the analysis of DCE MRI data. We further examine the formulation and solutions of various compartmental models frequently used in the literature. Topics of recent interest in the processing of DCE MRI data, such as the account of water exchange and the use of reference tissue methods to obviate the measurement of an arterial input, are also discussed. Although the primary focus of this review is on the tracer models and methods for T 1 -weighted DCE MRI, some of these concepts and methods are also applicable for analysis of dynamic susceptibility contrastenhanced MRI data.

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Section: Conventional Compartmental (Cc) Modelsmentioning

confidence: 99%

Fundamentals of tracer kinetics for dynamic contrast‐enhanced MRI

Koh

Bisdas

Koh

et al. 2011

Magnetic Resonance Imaging

115

130

View full text Add to dashboard Cite

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“…The delays a and p were defined to be equal and were fixed to the delay between the first nonzero value of the C a (t) curve and the first nonzero value of the C L (t) curve. The small vessel hematocrit (Hct SV ) was set to a constant value of 0.25 (31). The concentration vs. time curves were then fitted to the compartmental model.…”

Section: Microsphere Measurementsmentioning

confidence: 99%

Assessment of hepatic perfusion parameters with dynamic MRI

Materne

Smith

Peeters

et al. 2001

Magnetic Resonance in Med

213

247

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“…Blood dilution was implemented in order to simulate conditions of physiological variability of hematocrit across systemic vasculature and capillary networks. 30 PBS (pH 7.4) was used to dilute the whole blood while preserving the integrity of red blood cells. Optoacoustic imaging was performed while slowly decreasing the temperature from þ37 to À15 C. As an acoustically coupling medium, we used aqueous solution of sodium chloride at its eutectic concentration (23 wt.…”

mentioning

confidence: 99%

Red blood cell as a universal optoacoustic sensor for non-invasive temperature monitoring

Петрова

Oraevsky

Ermilov

2014

Applied Physics Letters

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Optoacoustic (photoacoustic) temperature imaging could provide improved spatial resolution and temperature sensitivity as compared to other techniques of non-invasive thermometry used during thermal therapies for safe and efficient treatment of lesions. However, accuracy of the reported optoacoustic methods is compromised by biological variability and heterogeneous composition of tissues. We report our findings on the universal character of the normalized temperature dependent optoacoustic response (ThOR) in blood, which is invariant with respect to hematocrit at the isosbestic point of hemoglobin. The phenomenon is caused by the unique homeostatic compartmentalization of blood hemoglobin exclusively inside erythrocytes. On the contrary, the normalized ThOR in aqueous solutions of hemoglobin showed linear variation with respect to its concentration and was identical to that of blood when extrapolated to the hemoglobin concentration inside erythrocytes. To substantiate the conclusions, we analyzed optoacoustic images acquired from the samples of whole and diluted blood as well as hemoglobin solutions during gradual cooling from þ37 to À15 C. Our experimental methodology allowed direct observation and accurate measurement of the temperature of zero optoacoustic response, manifested as the sample's image faded into background and then reappeared in the reversed (negative) contrast. These findings provide a framework necessary for accurate correlation of measured normalized optoacoustic image intensity and local temperature in vascularized tissues independent of tissue composition. Temperature monitoring of live tissue is an important technique that provides feedback information needed for guidance of thermal therapies, such as laser interstitial thermotherapy, high-intensity focused ultrasound, radio frequency ablation, and cryoablation. 1-3 Temperature readings collected in real time around the treated areas help warranting safety and efficiency of the therapeutic procedure. 4 Noninvasive temperature monitoring is unanimously preferred among the clinicians, especially when there are crucial requirements to minimize collateral thermal damage to the adjacent normal tissues and zones of innervation. Several imaging and sensing modalities have been proposed for noninvasive temperature monitoring during thermal therapies, including ultrasound imaging, magnetic resonance imaging, and optoacoustic (photoacoustic) imaging and sensing. [5][6][7] The potential advantages of optoacoustic temperature imaging techniques reside in enhanced spatial resolution, temperature sensitivity, and faster data acquisition. [8][9][10] During the past decade, optoacoustic imaging has attracted significant attention from researchers and clinicians due to its success in a variety of biomedical applications that involve high resolution deep tissue imaging of optical absorbers (blood, water, and near infrared contrast agents) unattainable with other modalities. [11][12][13] The premium quality of optoacoustic images, as compared to other imagin...

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Regional Blood Flow, Capillary Permeability, and Compartmental Volumes: Measurement with Dynamic CT—Initial Experience

Cited by 180 publications

References 39 publications

Fundamentals of tracer kinetics for dynamic contrast‐enhanced MRI

Fundamentals of tracer kinetics for dynamic contrast‐enhanced MRI

Assessment of hepatic perfusion parameters with dynamic MRI

Red blood cell as a universal optoacoustic sensor for non-invasive temperature monitoring

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