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The subject of this work was to develop, implement, optimize and apply methods for quantitative MR imaging of tumors. In the context of functional and physiological characterization, this implied transferring techniques established in tumor model research to human subjects and assessing their feasibility for use in patients. In the context of the morphologic assessment and parameter imaging of tumors, novel concepts and techniques were developed, which facilitated the simultaneous quantification of multiple MR parameters, the generation of “synthetic” MR images with various contrasts, and the fast single-shot acquisition of purely T2-weighted images.
Myocardial infarction (MI) is a leading cause of death worldwide. Timely restoration of coronary blood flow to ischemic myocardium significantly reduces acute infarct mortality and attenuates ventricular remodeling. However, surviving MI patients frequently develop heart failure, which is associated with reduced quality of life, high mortality rate (10% annually), as well as high healthcare expenditures. The main processes involved in the evolution of heart failure post-MI are the great loss of contractile cardiomyocytes during ischemia-reperfusion and the subsequent complex structural and functional alterations, which are rooted in modifications at molecular and cellular levels in both the infarcted and non-infarcted myocardium. However, we still lack efficient treatments to prevent the development and progression of left ventricular remodeling. The improved survival rate of acute MI patients combined with the lack of effective therapy for post-MI remodeling contributes to the high prevalence of heart failure. Cardiac Magnetic Resonance Imaging (MRI) is an important tool for diagnosis and assessment of MI. With the advancement of this technology, the frontier of MRI has been extended to probing molecular and cellular events in vivo and non-invasively. In combination with assessment of morphology and function, the visualization of essential molecular and cellular markers in vivo could provide comprehensive, multifaceted views of the healing process in infarcted hearts, which might give new insight for the treatment of acute MI. In this thesis, molecular and cellular cardiac MRI methods were established to visualize and investigate inflammation and calcium flux in the healing process of acute MI in vivo, in a clinically relevant rat model.
Nuclear spins in motion is an intrinsic component of any dynamic process when studied using magnetic resonance imaging (MRI). Moving spins define many functional characteristics of the human body such as diffusion, perfusion and blood flow. Quantitative MRI of moving spins
can provide valuable information about the human physiology or of a technical system. In particular, phase-contrast MRI, which is based on two images with and without a flow-encoding gradient, has emerged as an important diagnostic tool in medicine to quantify human blood flow. Unfortunately, however, its clinical usage is hampered by long acquisition times which only provide mean data averaged across multiple cardiac cycles and therefore preclude Monitoring the immediate physiological responses to stress or exercise. These limitations are expected to be overcome by real-time imaging which constitutes a primary aim of this thesis.
Short image acquisition times, as the core for real-time phase-contrast MRI, can be mainly realized through undersampling of the acquired data. Therefore the development focused on related technical aspects such as pulse sequence design, k-space encoding schemes and image
reconstruction. A radial encoding scheme was experimentally found to be robust to motion and
less sensitive to undersampling than Cartesian encoding. Radial encoding was combined with a FLASH acquisition technique for building an efficient real-time phase-contrast MRI sequence.
The sequence was further optimized through overlapping of gradients to achieve the shortest possible echo time. Regularized nonlinear inverse reconstruction (NLINV), a technique which jointly estimates the image content and its corresponding coil sensitivities, was used for image
reconstruction. NLINV was adapted specifically for phase-contrast MRI to produce both Magnitude images and phase-contrast maps. Real-time phase-contrast MRI therefore combined two highly undersampled (up to a factor of 30) radial gradient-echo acquisitions with and without a
flow-encoding gradient with modified NLINV reconstructions. The developed method achieved
real-time phase-contrast MRI at both high spatial (1.3 mm) and temporal resolution (40 ms).
Applications to healthy human subjects as well as preliminary studies of patients demonstrated
real-time phase-contrast MRI to offer improved patient compliance (e.g., free breathing) and immediate access to physiological variations of flow parameters (e.g., response to enhanced intrathoracic pressure). In most cases, quantitative blood flow was measured in the ascending aorta as an important blood vessel of the cardiovascular circulation system commonly studied
in the clinic. The performance of real-time phase-contrast MRI was validated in comparison to standard Cine phase-contrast MRI using studies of flow phantoms as well as under in vivo conditions. The evaluations confirmed good agreement for comparable results.
As a further extension to real-time phase-contrast MRI, this thesis implemented and explored a dual-echo phase-contrast MRI method which employs two sequential gradient echoes with and without flow encoding. The introduction of a flow-encoding gradient in between the two echoes
aids in the further reduction of acquisition time. Although this technique was efficient under in vitro conditions, in vivo studies showed the influence of additional motion-induced Phase contributions. Due to these additional temporal phase information, the approach showed Little promise for quantitative flow MRI.
As a further method three-dimensional real-time phase-contrast MRI was developed in this thesis to visualize and quantify multi-directional flow at about twice the measuring time of the standard real-time MRI method, i.e. at about 100 ms temporal resolution. This was achieved
through velocity mapping along all three physical gradient directions. Although the method is still too slow to adequately cover cardiovascular blood flow, the preliminary results were found to be promising for future applications in tissues and organ systems outside the heart. Finally, future developments are expected to benefit from the adaptation of model-based reconstruction
techniques to real-time phase-contrast MRI.