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Proton precession magnetometer

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thesis
posted on 28.03.2022, 18:47 by Arefin Islam Ayon
Magnetic resonance imaging (MRI) is a medical imaging technique to produce images of the anatomy and physiological processes of the body. MRI devices use very strong magnetic fields and radio waves to process these images of the human body. MRI is based on the physical principle of nuclear magnetic resonance (NMR). This is a phenomenon where and atom's nucleus, placed in an external magnetic field, absorbs and emits radio frequency. The cost of a conventional clinical MRI scanner is in the order of 2-3 million dollars and additional maintenance and operating costs make a single MRI exam cost about $1000. Also, sometimes, an MRI of the entire body is not required. From this originates the idea of this project, which is to prototype a proton precision magnetometer (PPM), which will lead us to explore the possibilities for cheaper MRI technology. This magnetometer will be first prototyped to measure the earth's magnetic field, but in the longer term it can be further extended for other industrial and biomedical applications. Similar to clinical MRIs, the PPM relies on the signal from processing nuclear magnetic dipoles. The frequency of the precession is directly proportional to the external magnetic field strength. And when there are enough precessing protons resulting, an oscillating magnetic field will be created. The frequency of the generated oscillating field is exactly what we will be measuring with the PPM which will correspond to earth's magnetic field.

History

Table of Contents

1. Introduction -- 2. Background and related work -- 3. Requirements and experimental procedures -- 4. Results and discussion -- 5. Conclusions and future work -- Index -- Appendices -- Bibliography.

Notes

Empirical thesis. Bibliography: page 71

Awarding Institution

Macquarie University

Degree Type

Thesis bachelor honours

Degree

BSc (Hons), Macquarie University, Faculty of Science and Engineering, School of Engineering

Department, Centre or School

School of Engineering

Year of Award

2017

Principal Supervisor

Yves De Deene

Rights

Copyright Arefin Islam Ayon 2017. Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (xiii, 71 pages illustrations (some colour))

Former Identifiers

mq:70452 http://hdl.handle.net/1959.14/1264009

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