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Skip to Search Results- 19Magnetic Resonance Imaging
- 3Diffusion Tensor Imaging
- 2Image Processing
- 2Linac-MR
- 2MRI
- 2Magnetic Susceptibility
- 1Abdollah, Vahid
- 1Ashfaque Mostafa, Tahjid
- 1Barta, Radim
- 1Budd, Alexandra
- 1Dietz, Bryson
- 1Elliott, Cameron Alistair
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Spring 2017
In magnetic resonance imaging (MRI), radio frequency (RF) detectors or “coils” are used to excite and receive signal from the nuclear spins. This thesis focuses on the design and development of RF coils and methods to achieve the best possible image quality at high static magnetic field strengths...
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Fall 2020
External beam radiotherapy (EBRT) utilizes high energy radiation (primarily photons or electrons) generated from a linear accelerator (linac) for the treatment of cancer. Current linac technologies lack the ability to continuously monitor the tumour and surround area during treatment. Real-time...
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Spring 2012
The aim of this work is to evaluate the feasibility of low field MR based real time lung tumour tracking, a promising application of proposed linac-MR system. In this work, motion phantoms replicating low field MR contrast parameters for thoracic anatomy of lung cancer patients are imaged with...
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Spring 2023
The rotating B0 linac-MR is a new type of radiotherapy treatment machine that combines radiation delivery from a linear accelerator (linac) with a magnetic resonance imaging (MRI) system for real-time tumour tracking. This kind of combined technology aims to achieve tighter margins in cancer...
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Spring 2018
Quantitative relaxation mapping allows for direct non-invasive tissue quantification with removal of variations arising from RF fields and non-uniform coil sensitivity profiles. T2 may be quantified using multi-echo spin echo sequences; however, in practical imaging situations, imperfect...
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Scalable Solutions to Image Abnormality Detection and Restoration using Limited Contextual Information
DownloadFall 2020
Detecting and interpreting image abnormalities and restoring images are essential to many processing pipelines in diverse fields. Challenges involved include randomness and unstructured nature of image artefacts (from signal processing perspective) and performance constraints imposed by...
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2005
Greiner, Russell, Schmidt, Mark, Levner, Ilya
Technical report TR05-19. Detecting and segmenting brain tumors in Magnetic Resonance Images (MRI) is an important but time-consuming task performed by medical experts. Automating this process is a challenging task due to the often high degree of intensity and textural similarity between normal...
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Simultaneous Measurement of Blood Flow and Oxygen Consumption Immediately Post-Exercise with Magnetic Resonance Imaging
DownloadFall 2014
Invasively measuring blood flow and oxygen consumption during exercise has been used to help advance performance, stratify fitness levels and most importantly to aid in clinical diagnoses and track disease or recovery progression. There is currently no non-invasive method for measuring skeletal...
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Strategies for Maximizing Signal to Noise in Decoupled Receive Coil Arrays for Magnetic Resonance Imaging
DownloadFall 2013
Designing radio frequency coil arrays for optimal Magnetic Resonance Imaging (MRI) has been a wide area of interest for many years. The optimum coil type for high density arrays and the mitigation of coupling between elements in arrays are significant problems addressed in this thesis. ...
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The Effects of Axial Loading on the Disc and Motion Segment Relative to Disc Degeneration and Pain Using Novel MRI Biomarkers
DownloadSpring 2017
The underlying pathology of low back pain (LBP) is poorly understood. Although MRI is often used as a sensitive modality for depicting pathoanatomical abnormalities, it is often clinically inconclusive due to a lack of specificity. While most patients experience symptoms when the spine is loaded,...