Cerebral small vessel disease (SVD) is a common cause of strokes and dementia. The pathogenesis of SVD is poorly understood, but imaging and biochemical investigations suggest that subtle blood-brain barrier (BBB) leakage may contribute to tissue damage. The most widely-used imaging method for assessing BBB integrity and other microvascular properties is dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). DCE-MRI has primarily been applied in situations where contrast uptake in tissue is typically large and rapid (e.g. neuro-oncology); the optimal approach for quantifying BBB integrity in diseases where the BBB remains largely intact and the reliability of resulting measurements is unclear. The main purpose of this thesis was to assess and improve the reliability of quantitative assessment of subtle BBB disruption, in order to illuminate its potential role in cerebral SVD. Firstly, a systematic literature review was performed in order to provide an overview of DCE-MRI methods in the brain. This review found large variations in MRI procedures and data analysis methods, resulting in widely varying estimates of tracer kinetic parameters. Secondly, this thesis focused on the analysis of DCE-MRI data acquired in an on-site clinical study of mild stroke patients. After performing basic DCE-MRI processing (e.g. selection of a vascular input function), this work aimed to determine the tracer kinetic modelling approach most suitable for assessing subtle BBB disruption in this cohort. Using data-driven model selection and computer simulations, the Patlak model was found to provide accurate estimates of blood plasma volume and low-level BBB leakage. Thirdly, this thesis aimed to investigate two potential pitfalls in the quantification of subtle BBB disruption. Contrast-free measurements in healthy volunteers revealed that a signal drift of approximately 0.1 %/min occurs during the DCE-MRI acquisition; computer simulations showed that this drift introduces significant systematic errors when estimating low-level tracer kinetic parameters. Furthermore, tracer kinetic analysis was performed in an external patient cohort in order to investigate the inter-study comparability of DCE-MRI measurements. Due to the nature of the acquisition protocol it proved difficult to obtain reliable estimates of BBB leakage, highlighting the importance of study design. Lastly, this thesis examined the relationship between quantitative MRI parameters and clinical measurements in cerebral SVD, with a focus on the estimates of blood volume and BBB leakage obtained in the internal SVD patient cohort. This work did not provide evidence that BBB leakage in normal-appearing tissue increases with SVD burden or predicts disease progression; however, increased BBB leakage was found in white matter hyperintensities. Furthermore, this work raises the possibility of a role for blood plasma volume and dietary salt intake in cerebral SVD. The work described in this thesis has demonstrated that it is possible to estimate subtle BBB disruption using DCE-MRI, provided that the measurement and data analysis strategies are carefully optimised. However, absolute values of tracer kinetic parameters should be interpreted with caution, particularly when making comparisons between studies, and sources of error and their influence should be estimated where possible. The exact roles of BBB breakdown and other microvascular changes in SVD pathology remain to be defined; however, the work presented in this thesis contributes further insights and, together with technical advances, will facilitate improved study design in the future.

Les propriétés microvasculaires de la moëlle osseuse (MO) sont mal connues chez l’être humain. L’IRM de perfusion en permet une évaluation quantitative non invasive. La hanche a été choisie, car elle est la cible de pathologies fréquentes et handicapantes, qu’il est nécessaire de diagnostiquer plus précocement telle la coxarthrose. Nous avons d’abord implémenté une séquence IRM volumique à voxels isotropiques, avec une couverture large et une résolution spatiale élevée. Celle-ci a ensuite permis l’étude d’une série de 60 patients âgés de 18 à 60 ans, sans antécédent de pathologie osseuse et présentant une MO d’aspect normal en IRM. Les paramètres de perfusion semi-quantitatifs et pharmacocinétiques ont été mesurés dans 15 régions d’intérêt chez chaque patient. Tous les paramètres de perfusion diffèrent entre les zones de MO rouge et de MO jaune. La perfusion est différente entre les MO acétabulaire (squelette axial) et fémorale intertrochantérienne (squelette appendiculaire). Plusieurs paramètres sont corrélés de manière négative à l’âge. Plusieurs paramètres sont différents entre les hommes et les femmes. La perfusion de la tête fémorale est hétérogène, probablement en raison de l’exposition aux contraintes mécaniques. Les paramètres Ktrans, Kep et TTP sont corrélés à l’indice de masse corporelle, ce qui suggère que l’obésité influence le métabolisme de la MO. Enfin, le tabagisme et l’hypercholestérolémie ont une incidence sur ces mêmes paramètres dans certaines zones. Ils pourraient donc être le reflet d’altérations de la microvascularisation osseuse. Ces travaux ouvrent de nouvelles perspectives de recherche sur la physiologie et la pathologie de la MO. / Bone Marrow (BM) microvascular properties are insufficently known in humans. Dynamic-Contrast Enhanced (DCE) MRI allows its non-invasive quantitative assessment. We concentrated on the hip because this joint is frequently affected by debilitating pathologies such as osteoarthritis. Their early diagnosis is a current medical challenge. We implemented a 3D DCE-MRI sequence with isotropic voxels, high spatial resolution and a large coverage. It was used in a study of 60 patients aged 18 to 60, with no previous history of bone disease and with normal-appearing BM on MR images. Semi-quantitative and pharmacokinetic parameters were measured in 15 regions of interest in each patient. All the parameters were different between red and yellow BM. Perfusion was different between acetabular (axial skeleton) and femoral intertrochanteric (appendicular skeleton) BMs. Several parameters were negatively correlated with age. Perfusion was different in men and women. The femoral head perfusion was heterogeneous, likely because of mechanical load exposure. Ktrans, Kep and TTP were correlated with body mass index. This suggests that obesity influences BM metabolism. Smoking and hypercholesterolemia influenced these same parameters in several zones. We hypothesized that these parameters might reflect BM microvascular aletrations. Our results open new research perspectives both in the physiology and pathology of BM.

In an effort to develop an optical-acoustical understanding of ultrasound contrast agent microbubble dynamics in a micro-environment that resembles blood vessels, this thesis presents experimental work on optical trapping and acoustical probing of ultrasound contrast agent microbubbles confined in regenerated cellulose capillaries. First, we showed by acoustical means that the pressure threshold of an individual microbubble shell rupture increases significantly when confined in regenerated cellulose capillaries. We report that the shell rupture threshold in regenerated cellulose capillaries increased by at least 0.3 MPa from 0.8 MPa for unconfined microbubbles. Second, we achieved optical trapping and manipulation of ultrasound contrast agent microbubbles confined in capillaries using Hermite-Gaussian laser beams. / Graduation date: 2012

Microvascular permeability is a pharmacologic indicator of tumor response to therapy, and it is expected that this biomarker will evolve into a clinical surrogate endpoint and be integrated into protocols for determining patient response to antiangiogenic or antivascular therapies. The goal of this research is to develop a method by which microvascular permeability (Ktrans) and vascular volume (vp) as measured by DCE-MRI were directly compared to the same parameters measured by intravital fluorescence microscopy in an MRI-compatible window chamber model. Dynamic contrast enhanced-MRI (DCE-MRI) is a non-invasive, clinically useful imaging approach that has been used extensively to measure active changes in tumor microvascular hemodynamics. However, uncertainties exist in DCE-MRI as it does not interrogate the contrast reagent (CR) itself, but the effect of the CR on tissue water relaxivity. Thus, direct comparison of DCE-MRI with a more quantitative measure would help better define the derived parameters. The combined imaging system was able to obtain both dynamic contrast-enhanced MRI data high spatio-termporal resolution fluorescence data following injection of fluorescent and gadolinium co-labeled albumin. This approach allowed for the cross-validation of vascular permeability data, in relation tumor growth, angiogenesis and response to therapy in both imaging systems.

Background: Parameters of carotid atherosclerosis dynamic contrast-enhanced MRI (DCE-MRI) are associated with stroke risk indices, but studies have only evaluated symptomatic arteries. I hypothesized that DCE-MRI parameters are different between carotid atherosclerotic plaques at high and low risk for precipitating ischemic stroke. Methods: High and low risk carotid plaques undergoing nonmodel-based DCE-MRI (n=18) were compared using two independent schema: 1) clinical standard (high risk defined as ipsilateral stroke/TIA <1 week old or stenosis >70%); 2) MRI standard (high risk defined as presence of intraplaque hemorrhage [IPH]). Results: IPH-positive plaques (n=9) exhibited greater area under the curve, early and late enhancement rate, and peak enhancement than IPH-negative plaques (n=9) (p<0.05 for all). High (n=8) and low (n=7) risk plaques defined by clinical criteria were not differentiated by any DCE-MRI parameters. Conclusions: Nonmodel-based DCE-MRI discriminates high versus low risk carotid plaque based on the presence of IPH, but not by clinical criteria.

Background: Parameters of carotid atherosclerosis dynamic contrast-enhanced MRI (DCE-MRI) are associated with stroke risk indices, but studies have only evaluated symptomatic arteries. I hypothesized that DCE-MRI parameters are different between carotid atherosclerotic plaques at high and low risk for precipitating ischemic stroke. Methods: High and low risk carotid plaques undergoing nonmodel-based DCE-MRI (n=18) were compared using two independent schema: 1) clinical standard (high risk defined as ipsilateral stroke/TIA <1 week old or stenosis >70%); 2) MRI standard (high risk defined as presence of intraplaque hemorrhage [IPH]). Results: IPH-positive plaques (n=9) exhibited greater area under the curve, early and late enhancement rate, and peak enhancement than IPH-negative plaques (n=9) (p<0.05 for all). High (n=8) and low (n=7) risk plaques defined by clinical criteria were not differentiated by any DCE-MRI parameters. Conclusions: Nonmodel-based DCE-MRI discriminates high versus low risk carotid plaque based on the presence of IPH, but not by clinical criteria.

Background: Dynamic contrast-enhanced MRI (DCE-MRI) has the potential to produce images of physiological quantities such as blood flow, blood vessel volume fraction, and blood vessel permeability. Such information is highly valuable, e.g., in oncology. The focus of this work was to improve the quantitative aspects of DCE-MRI in terms of better understanding of error sources and their effect on estimated physiological quantities. Methods: Firstly, a novel parameter estimation algorithm was developed to overcome a problem with sensitivity to the initial guess in parameter estimation with a specific pharmacokinetic model. Secondly, the accuracy of the arterial input function (AIF), i.e., the estimated arterial blood contrast agent concentration, was evaluated in a phantom environment for a standard magnitude-based AIF method commonly used in vivo. The accuracy was also evaluated in vivo for a phase-based method that has previously shown very promising results in phantoms and in animal studies. Finally, a method was developed for estimation of uncertainties in the estimated physiological quantities. Results: The new parameter estimation algorithm enabled significantly faster parameter estimation, thus making it more feasible to obtain blood flow and permeability maps from a DCE-MRI study. The evaluation of the AIF measurements revealed that inflow effects and non-ideal radiofrequency spoiling seriously degrade magnitude-based AIFs and that proper slice placement and improved signal models can reduce this effect. It was also shown that phase-based AIFs can be a feasible alternative provided that the observed difficulties in quantifying low concentrations can be resolved. The uncertainty estimation method was able to accurately quantify how a variety of different errors propagate to uncertainty in the estimated physiological quantities. Conclusion: This work contributes to a better understanding of parameter estimation and AIF quantification in DCE-MRI. The proposed uncertainty estimation method can be used to efficiently calculate uncertainties in the parametric maps obtained in DCE-MRI.

Thesis (Ph. D.)--Ohio State University, 2008. / Title from first page of PDF file. Includes bibliographical references (p. 113-116).

Thesis (M.S)--University of Alabama at Birmingham, 2007. / Description based on contents viewed June 11, 2008; title from title screen. Includes bibliographical references (p. 31-35).

The utility of microbubble agents in a variety of diagnostic and therapeutic ultrasound techniques has been widely demonstrated, most notably in Contrast Enhanced Ultrasound (CEUS) imaging. Unfortunately, the underlying mechanisms of their response to ultrasound excitation are poorly understood, restricting the development of promising techniques, such as quantitative perfusion imaging. A significant reason for this is that current microbubble characterisation techniques suffer from one or more of the following limitations: i) large experimental uncertainties, ii) physical restrictions on microbubble response and iii) failure to provide large data sets suitable for statistical analysis. This thesis presents a new technique to overcome these limitations. A co-axial microfluidic device is used to hydrodynamically confine microbubbles through the focal region of a laser and ultrasound field. The magnitude of light scattered by isolated microbubbles during ultrasound excitation is converted to radius using Mie Scattering theory. This technique is capable of obtaining large samples (>10³/min) of microbubbles to be efficiently characterised. The response of a commercial contrast agent, SonoVue®, is first investigated for a range of ultrasound exposure parameters; frequency (2 MHz - 4.5 MHz), peak negative pressure (6 kPa - 400 kPa) and pulse length (3 cycles - 8 cycles). Second the device is used to investigate the effect of composition and fabrication on microbubble response to similar ultrasound conditions. The results demonstrate a very large variability in microbubble response independent of initial size, indicating a significant lack of uniformity of coating properties. This is further supported by quantitative fluorescence imaging and quasi-static pressure chamber measurements. The implications of the findings for CEUS imaging and the development of microbubble contrast agents are discussed, as well as the limitations and suggested improvements of the characterisation technique.