High Resolution MRI Coil for Rat Brain at 7 Tesla

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dc.contributor.advisorZagozdzon-Wosik, Wanda
dc.contributor.committeeMemberWosik, Jarek
dc.contributor.committeeMemberCharlson, Earl J.
dc.contributor.committeeMemberNarayana, Ponnada A.
dc.creatorYatham, Sainatha Reddy
dc.date.accessioned2019-05-23T14:15:37Z
dc.date.createdAugust 2018
dc.date.issued2018-08
dc.date.submittedAugust 2018
dc.date.updated2019-05-23T14:15:38Z
dc.description.abstractMagnetic resonance imaging (MRI) is a very powerful, non-ionizing, non-invasive clinical and research modality for soft tissue imaging. MRI applications such as, real-time cardiac imaging, functional brain imaging and contrast enhanced MRI require fast and high resolution recording. Main limitation in fulfilling these requirements is intrinsically low signal to noise ratio (SNR) in MRI. In principle SNR can be improved either by increasing signal or by decreasing noise. Thus far, increasing the SNR of an MRI system turned out to be very challenging due to fundamental limitation regarding the received signals. These signals are intrinsically small since they are generated only by a very limited number of nuclei. In addition, the noise floor in the MRI systems is set up by ever-present thermal noise. There are two dominant sources of thermal noise, one coming from the receiver sensor and the other resulting from eddy currents induced in an imaged conducting object. Eddy currents in a body can-not be avoided, but reduction of conductive losses in the receiver coil and optimization of its sensitivity is possible. The primary objective of this study is to maximize SNR by optimizing coil size and geometry for imaging small animals using scanners operating at 7 Tesla. The goal is to identify and characterize all components of losses with emphasis on losses related to coil and coil-body geometry. Such characterization provides information regarding SNR-optimized coils.
dc.description.departmentElectrical and Computer Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10657/3988
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectRF coils
dc.subjectTwin Horseshoe
dc.subjectMRI
dc.subjectReciever
dc.titleHigh Resolution MRI Coil for Rat Brain at 7 Tesla
dc.type.dcmiText
dc.type.genreThesis
local.embargo.lift2020-08-01
local.embargo.terms2020-08-01
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentElectrical and Computer Engineering, Department of
thesis.degree.disciplineComputer and Systems Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Electrical Engineering

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