dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Seevinck, P. | |
dc.contributor.author | Werf, H. van der | |
dc.date.accessioned | 2012-01-31T18:00:36Z | |
dc.date.available | 2012-01-31 | |
dc.date.available | 2012-01-31T18:00:36Z | |
dc.date.issued | 2012 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/9885 | |
dc.description.abstract | Magnetic Resonance Imaging (MRI) is a non-invasive imaging modality. Unlike Com-
puted Tomography (CT), MRI does not use ionizing radiation. Over the years, MRI has
improved dramatically in both imaging quality and imaging speed. This revolutionized
the field of diagnostic medicine. However, imaging speed, which is essential to many of the
MRI applications, remains a ma jor challenge. Imaging speed can be improved by faster
collection of data. This can be achieved by using sophisticated non-Cartesian k-space tra-
jectories. Popular non-Cartesian schemes include encoding along a radial line or spirals.
The point has nearly been reached in which fundamental physical and physiological effects
limits the ability to simply encode data more quickly. This fundamental limit has led many
researchers to look for methods to reduce the amount of acquired data without degrading
image quality. In order to address this issue, various reconstruction techniques have been
proposed; in this paper three of them are discussed. Beginning with SENSE(proposed in
1997), followed by k-t BLAST/k-t SENSE, nonlinear inverse reconstruction and ending
with a combination of techniques very recently proposed(August 2010). We will also eval-
uate two of the three above mentioned techniques with one application i.e. cardiac cine
imaging. | |
dc.description.sponsorship | Utrecht University | |
dc.format.extent | 1336176 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | Towards real-time imaging: a literature study on fast imaging by undersampling and smart reconstruction | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | k-t blast, SENSE, Compressed Sensing, Real time imaging, MRI, Real time MRI at a resolution of 20ms, | |
dc.subject.courseuu | Biomedical Image Sciences | |