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Validation of Phase Contrast Flow Quantification and Relaxometry for Cardiovascular Magnetic Resonance Imaging [Elektronisk resurs]

Bidhult, Sebastian (författare)
Lunds universitet (utgivare)
Alternativt namn: Universitetet i Lund
Alternativt namn: Engelska: Lund University
Alternativt namn: Engelska: University of Lund
Alternativt namn: Tyska: Universität Lund
Alternativt namn: Latin: Universitas Gothorum Carolina
Alternativt namn: Latin: Universitas Regia Lundensis
Se även: Lunds tekniska högskola
ISBN 978-91-7753-743-4
Lund Department of Biomedical Engineering, Lund university 2018-05-30T08:51:59+02:00
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  • Quantitative imaging, where every pixel of an image represents a physical quantity (e.g. timeor velocity) is being increasingly used in the field of diagnostic radiology and has potential toenhance medical diagnosis. Quantitative methods for Magnetic Resonance Imaging (MRI)enables measurements of velocity and flow using a technique called Phase Contrast MagneticResonance (PC-MR), and different time constants of the magnetic resonance signal can bemeasured to characterize different tissue types such as muscle and fat in MR images using atechnique called magnetic resonance relaxometry.One of the first clinical applications of MR relaxometry was to estimate iron load indifferent organs noninvasively by measuring the time constant called T2*. Patients sufferingfrom iron load disease are at risk of developing organ failure due to iron overload. Ironchelate therapy has been shown to reduce chronic iron overload but it is toxic and has beenlinked to renal failure at high doses. MRI T2* measurements can be used to effectively tailorchelate therapy for patients with iron load disease, thereby reducing mortality of the disease.Several methods for calculating T2* from MRI images are currently being used, each withits own advantages and disadvantages. Different MRI vendors generally use slightly differentmethods. Further, some methods are mainly suitable for cases with moderate to normal ironload while other methods are more suitable for cases with severe iron load.For other clinical applications of MR relaxometry the MR time constants called T1 andT2 are measured. For example, T1 measurements before and after administration of a certainMRI contrast agent makes it possible to determine the extracellular volume in different partsof the heart muscle which can be used to examine damages to the heart muscle after a heartattack. T2 measurements can for example be used to detect edema in the heart muscle andto determine blood oxygen saturation noninvasively. Several methods exist for T1 and T2calculation from MRI images and software tools that can be used to calculate T1 and T2values could be of help to standardize methodology in the clinics. A previous software for T1and T2 analysis exist but it is designed to be used for research only.The latest MR relaxometry methods often use computer simulations of MR physics togetherwith MR images to enable measurement of several MR time constants at the sametime or to increase the accuracy of each measurement. These techniques show great promisein advancing the research field of MRI but current methods require state of the art measurementtechniques which can only be implemented on high-end MRI scanners, limiting wide Imaging clinical use. Phase Contrast Magnetic Resonance (PC-MR) can be used to measure velocity in each pixel of an MRI image and have been used for many years as the reference standard for noninvasive measurements of blood flow. In order to measure the total net flow in a blood vessel over a heartbeat, the vessel of interest has to be delineated in a time-resolved PC-MR image series usually containing 15-35 images. Manual vessel delineation in these images is time consuming and requires user experience for accurate results. Semi-automatic delineation methods based on image analysis have reduced the amount of required user input and the total time of analysis for PC-MR flow measurements. However, currently existing semi-automatic methods often need manual corrections from the user. Non-invasive flow and blood velocity measurements in the fetal cardiovascular system by MRI is a promising alternative to doppler ultrasound for diagnosing disease such as congenital heart defects and intra-uterine growth restriction. Conventional PC-MR flow measurements require an ECG-recording during the MRI scan which is used to sort the collected MRI data to form a time-resolved video over a heartbeat, a process called retrospective image gating. The lack of a usable ECG by surface electrodes for fetal imaging requires alternative image gating techniques. Metric Optimized Gating (MOG) is a previously published image gating technique which does not require a fetal ECG recording. MOG together with PC-MR flow measurements (MOG PC-MR) has demonstrated reproducibility for fetal imaging in studies from one research center. However, MOG PC-MR flow measurements have not been validated for a range of flow rates or a range of peak velocity. This dissertation investigates existing and newly developed MR relaxometry and PC-MR measurement methods with the purpose of evaluating clinical applicability. In Study I a new vendor-independent T2* calculation method was validated over the range of clinically relevant T2* values in phantom experiments. Invivo T2* measurements using the proposed method were in good agreement with T2* measurements using a vendorspecific T2* method in the heart and liver of patients with known or suspected iron load disease. In Study II a vendor-independent software for T1 and T2 analysis was validated in phantom experiments. In Study III a new MR-relaxometry method called SQUAREMR, which was applied to a previously introduced and widely available T1 measurement technique (MOLLI), was shown to provide improved T1 measurement accuracy in phantom experiments. In Study IV a new semi-automatic delineation method for PC-MR flow measurements which uses a database of manual vessel delineations to control the shape of the delineation was validated in a pulsatile flow phantom experiment and showed good agreement with manual delineations in invivo PC-MR images of the ascending aorta and main pulmonary artery. Finally, in Study V MOG PC-MR showed good agreement with conventional PC-MR in a pulsatile flow phantom experiment except for cases with low Velocity to Noise Ratio (VNR), which resulted in underestimation of peak velocity and overestimation of flow which warrants optimization of the PC-MR measurement to individual fetal vessels for accurate MOG PC MR fetal flow measurements. 
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