The phase-encoded method of NMR flow imaging is examined in detail. The motion of isochromatic groups in the direction of suitably balanced magnetic field gradients will give a phase change in the NMR signal directly proportional to the velocity, acceleration, or higher derivative of position, dependent upon the form of the field gradient. If a simple bipolar pulse is used then the phase change, for isochromats moving with constant velocity, will be proportional to the velocity. If two such pulses are placed back to back then the phase change is proportional to the acceleration. The motion of isochromats in the magnetic field gradients used for imaging will also cause phase changes. These effects are considered, and simple methods of reducing them presented. Phase errors due to main field inhomogeneity are shown to be eliminated by a simple phase difference technique. In this two image data sets having different flow sensitivities are obtained, and the phase difference between them calculated. Velocity images were obtained using this technique, both by the manipulation of the frequency-encoding and selection gradients, and by the insertion of bipolar pulses in the imaging sequence. Acceleration images were also produced by adding double bipolar pulses to the imaging sequence. Both spin-echo and field-echo sequences were used. Field-echo sequences were shown to be superior for high velocities, particularly when the direction of flow is through the slice, otherwise spin-echo sequences were preferred. The Fourier imaging of velocity is also examined, and images presented. This technique is only considered to be useful for projective imaging, where it is shown to have an SNR advantage over established methods. Using two specially designed phantoms the accuracy of all these techniques is shown to be within 5%.

Cerebral autoregulation is an intrinsic physiological response that maintains a constant cerebral blood flow (CBF) despite dynamic changes in the systemic blood pressure. Autoregulation is achieved through changes in the resistance of the small blood vessels in the brain through reflexive vasodilatation and vasoconstriction. Cerebrovascular reactivity (CVR) is a measure of this response. CVR is defined as a change in CBF in response to a given vasodilatory stimulus. CVR therefore potentially reflects the vasodilatory reserve capacity of the cerebral vasculature to maintain a constant cerebral blood flow. A decrease in CVR (which is interpreted as a reduction in the vasodilatory reserve capacity) in the vascular territory downstream of a larger stenosed supply artery correlates strongly with the risk of a hemodynamic stroke. As a result, the use of CVR studies to evaluate the state of the cerebral autoregulatory capacity has clinical utility. Application of CVR studies in the clinical scenario depends on a thorough understanding of the normal response. The goal of this thesis therefore was to map CVR throughout the brain in normal healthy individuals using Blood Oxygen Level Dependant functional Magnetic Resonance Imaging (BOLD MRI) as an index to CBF and precisely controlled changes in end-tidal partial pressure of carbon dioxide (PETCO2) as the global flow stimulus.

Cerebral autoregulation is an intrinsic physiological response that maintains a constant cerebral blood flow (CBF) despite dynamic changes in the systemic blood pressure. Autoregulation is achieved through changes in the resistance of the small blood vessels in the brain through reflexive vasodilatation and vasoconstriction. Cerebrovascular reactivity (CVR) is a measure of this response. CVR is defined as a change in CBF in response to a given vasodilatory stimulus. CVR therefore potentially reflects the vasodilatory reserve capacity of the cerebral vasculature to maintain a constant cerebral blood flow. A decrease in CVR (which is interpreted as a reduction in the vasodilatory reserve capacity) in the vascular territory downstream of a larger stenosed supply artery correlates strongly with the risk of a hemodynamic stroke. As a result, the use of CVR studies to evaluate the state of the cerebral autoregulatory capacity has clinical utility. Application of CVR studies in the clinical scenario depends on a thorough understanding of the normal response. The goal of this thesis therefore was to map CVR throughout the brain in normal healthy individuals using Blood Oxygen Level Dependant functional Magnetic Resonance Imaging (BOLD MRI) as an index to CBF and precisely controlled changes in end-tidal partial pressure of carbon dioxide (PETCO2) as the global flow stimulus.

The thesis deals with LSCI (Laser Speckle Contrast Imaging), an optical method utilizing laser speckle contrast for the estimation of blood flow changes. LSCI is non-invasive and technically not demanding approach, capabilities of which have not yet been fully exploited. The literature review part contains detailed description of the operating principle, imaging techniques, potential for medical applications with considering the limiting factors. The main aim of the thesis is to design and construct a complete LSCI system including appropriate phantoms able to simulate blood flow through the tissue. Imaging algorithms for the obtained data evaluation were implemented in Matlab® development enviroment. Finally, the created system was tested using different acquisition parameters as well as varying the image processing schemes. The resulting qualitative flow images were subsequently discussed and confronted with the theoretical assumptions.

L'échographie est largement utilisée pour l'imagerie du flux sanguin pour ses nombreux avantages tels que son inocuité, son cout réduit, sa facilité d'utilisation et ses performances. Cette thèse a pour objectif de proposer de nouvelles méthodes ultrasonores d'imagerie du flux sanguin. Après une étude bibliographique, plusieurs approches ont été étudiées en détail jusqu'à leur implémentation sur l'échographe de recherche ULA-OP développé au sein du laboratoire et ont été validées en laboratoire et en clinique. La transmission d'ondes planes a été proposée pour améliorer la technique d'imagerie utilisant les oscillations transverses. Des champs de pression ultrasonores présentant des oscillations transverses sont générés dans de larges régions et exploités pour l'estimation vectorielle du flux sanguin à une haute cadence d'imagerie. Des cartes du flux sanguin sont obtenues grâce à une technique s'appuyant sur la transmission d'ondes planes couplées à un nouvel algorithme d'estimation de la vitesse dans le domaine fréquentiel. Les méthodes vectorielles implémentées en temps réel dans le ULA-OP ont été comparées à la méthode Doppler classique lors d'une étude clinique. Les résultats ont montré le bénéfice des méthodes vectorielles en termes de précision et de répétabilité. La nouvelle méthode proposée a démontré sa grande précision ainsi que son gain en termes de temps de calcul aussi bien en simulations qu'en acquisitions en laboratoire ou lors d'essais in vivo. Une solution logicielle temps réel implémentée sur une carte GPU a été proposée et testée afin de réduire encore le temps de calcul et permettre l'emploi de la méthode en clinique / Ultrasound is widely used for blood flow imaging because of the considerable advantages for the clinician, in terms of performance, costs, portability, and ease of use, and for the patient, in terms of safety and rapid checkup. The undesired limitations of conventional methods (1-D estimations and low frame-rate) are widely overtaken by new vector approaches that offer detailed descriptions of the flow for a more accurate diagnosis of cardiovascular system diseases. This PhD project concerns the development of novel methods for blood flow imaging. After studying the state-of-the-art in the field, a few approaches have been examined in depth up to their experimental validation, both in technical and clinical environments, on a powerful ultrasound research platform (ULA-OP). Real-time novel vector methods implemented on ULA-OP were compared to standard Doppler methods in a clinical study. The results attest the benefits of the vector methods in terms of accuracy and repeatability. Plane-wave transmissions were exploited to improve the transverse oscillation imaging method. Double oscillating fields were produced in large regions and exploited for the vectorial description of blood flow at high frame rates. Blood flow maps were obtained by plane waves coupled to a novel velocity estimation algorithm operating in the frequency domain. The new method was demonstrated capable of high accuracy and reduced computational load by simulations and experiments (also in vivo). The investigation of blood flow inside the common carotid artery has revealed the hemodynamic details with unprecedented quality. A software solution implemented on a graphic processing unit (GPU) board was suggested and tested to reduce the computational time and support the clinical employment of the method