Tensor Analysis of MRI Diffusion Data
(2000)Medical Physics Programme
- Abstract
- Diffusion weighted magnetic resonance imaging (MRI) is a modality that offers the possibility to measure molecular motion such as water self-diffusion which is in the order of 10-9 m2/s. The basic formalism has been known since the middle of the 20:th century, it is however, only during the last decade that it has been used for imaging. Through tensor analysis of diffusion weighted images, acquired with certain requirements, information about microscopic water movements is revealed. This kind of analysis provides maps of the trace of the diffusion tensor and anisotropy maps. These can be used to distinguish between different brain pathologies, e.g. disruption of nerve fibres. These results have a clinical value and are used, for example,... (More)
- Diffusion weighted magnetic resonance imaging (MRI) is a modality that offers the possibility to measure molecular motion such as water self-diffusion which is in the order of 10-9 m2/s. The basic formalism has been known since the middle of the 20:th century, it is however, only during the last decade that it has been used for imaging. Through tensor analysis of diffusion weighted images, acquired with certain requirements, information about microscopic water movements is revealed. This kind of analysis provides maps of the trace of the diffusion tensor and anisotropy maps. These can be used to distinguish between different brain pathologies, e.g. disruption of nerve fibres. These results have a clinical value and are used, for example, for studies of multiple sclerosis (MS), tumours and white matter diseases. The aims of this Master of Science thesis were to understand and describe the physics and applications and to develop software for image calculation, to be used in both clinic and research applications. (Less)
- Abstract (Swedish)
- Diffusionsviktad magnetiskresonanstomografi (MRT) är en metod där vi med hjälp av magnetfält kan märka in vattenmolekyler och följa de slumpmässiga rörelser som alla molekyler uppvisar. Den slumpmässiga rörelsen uppstår p.g.a. termisk energi (värmeenergi) och varierar med temperaturen och ämnet som omger molekylerna. Tensoranalys är ett matematiskt verktyg för att skapa modeller för hur den omgivande geometrin kring vattenmolekylerna ser ut. På detta sätt kan olika hjärnvävnader såsom vit och grå substans liksom förändringar i nervbanor avbildas. Detta har kliniska tillämpningar i studier av multiple skleros (MS), tumörer och vitsubstansförändringar såsom vid Alzheimers sjukdom. Målsättningen med denna magisteruppsats var att studera... (More)
- Diffusionsviktad magnetiskresonanstomografi (MRT) är en metod där vi med hjälp av magnetfält kan märka in vattenmolekyler och följa de slumpmässiga rörelser som alla molekyler uppvisar. Den slumpmässiga rörelsen uppstår p.g.a. termisk energi (värmeenergi) och varierar med temperaturen och ämnet som omger molekylerna. Tensoranalys är ett matematiskt verktyg för att skapa modeller för hur den omgivande geometrin kring vattenmolekylerna ser ut. På detta sätt kan olika hjärnvävnader såsom vit och grå substans liksom förändringar i nervbanor avbildas. Detta har kliniska tillämpningar i studier av multiple skleros (MS), tumörer och vitsubstansförändringar såsom vid Alzheimers sjukdom. Målsättningen med denna magisteruppsats var att studera fysiken och tillämpningarna för diffusionsviktad MR samt att utveckla ett programverktyg för bildberäkning som kan användas både för kliniskt bruk och för forskning. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/2156905
- author
- Lätt, Jimmy
- supervisor
- organization
- year
- 2000
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- MRI
- language
- English
- id
- 2156905
- date added to LUP
- 2011-09-13 13:29:37
- date last changed
- 2011-12-08 12:21:10
@misc{2156905,
abstract = {{Diffusion weighted magnetic resonance imaging (MRI) is a modality that offers the possibility to measure molecular motion such as water self-diffusion which is in the order of 10-9 m2/s. The basic formalism has been known since the middle of the 20:th century, it is however, only during the last decade that it has been used for imaging. Through tensor analysis of diffusion weighted images, acquired with certain requirements, information about microscopic water movements is revealed. This kind of analysis provides maps of the trace of the diffusion tensor and anisotropy maps. These can be used to distinguish between different brain pathologies, e.g. disruption of nerve fibres. These results have a clinical value and are used, for example, for studies of multiple sclerosis (MS), tumours and white matter diseases. The aims of this Master of Science thesis were to understand and describe the physics and applications and to develop software for image calculation, to be used in both clinic and research applications.}},
author = {{Lätt, Jimmy}},
language = {{eng}},
note = {{Student Paper}},
title = {{Tensor Analysis of MRI Diffusion Data}},
year = {{2000}},
}