Massachusetts Institute of Technology
Design and manufacture of an ultra-high field ex vivo coil assembly
Abstract
dc:description.abstractMagnetic Resonance based architectonic segmentation aims to detect variations in brain architecture that may provide incredible insight into diseases such as epilepsy, schizophrenia, dyslexia, and autism. Data from ex vivo scans is necessary for the development of automatic methods to detect these critical variations in vivo (1) (2). The optimization of ex vivo imaging requires the design and construction of special purpose instrumentation. This thesis presents the mechanical design and construction of a 32 channel ex vivo coil assembly for use in a 7 tesla MRI. The unit will be used for research at the Athinoula A. Martinos Center for Biomedical Imaging in Charlestown, Massachusetts. Also presented is the development and implementation of two unique low-cost tools to enhance the medical instrument prototyping process: a desktop vacuum casting system, and an automatic tool-path generation program for machining directly from STL files. Finally, an improved method and apparatus for degassing the tissue samples is developed and implemented leading to improvements in MRI image quality.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2012
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Bridgers, Loren Daniel
- Advisor dc:contributor.advisor
-
- Alexander Slocum.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/74455
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/74455