DocumentCode
2927563
Title
Use of Shannon information in treatment of high resolution diffusion MRI
Author
Lori, Nicolás F. ; Santos, Carlos
Author_Institution
Fac. of Med., Univ. of Coimbra, Coimbra, Portugal
fYear
2010
fDate
Aug. 31 2010-Sept. 4 2010
Firstpage
2714
Lastpage
2717
Abstract
Diffusion MRI allows the obtaining of an approximation of the water displacement´s probability density function (PDF) and orientation distribution function (ODF). Examples of techniques used in obtaining these distributions being q-space imaging (QSI), and q-ball imaging (QBI), respectively. Shannon information quantifies the discriminative power of a symbol based on its probability. We quantified the information amount of a white matter fiber bundle being used to discriminate those fibers using specific diffusion MRI data treatment techniques. The equations developed are new and it is also described how they will help in future experimental calculations. An example of experimental ODF surfaces and ODF based white matter fiber tracking in living humans is also shown to highlight possible future advantages of Shannon information usage in describing crossing white matter fiber bundles.
Keywords
biomedical MRI; brain; information theory; medical image processing; statistical distributions; Shannon information; high resolution diffusion MRI; orientation distribution function; probability density function; q-ball imaging; q-space imaging; water displacement; white matter fiber bundle; Approximation methods; Equations; Magnetic resonance imaging; Mathematical model; Probability density function; Tensile stress; Algorithms; Brain; Brain Mapping; Data Interpretation, Statistical; Diffusion Magnetic Resonance Imaging; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Models, Statistical; Models, Theoretical; Nerve Fibers, Myelinated; Probability; Signal Processing, Computer-Assisted; Software;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location
Buenos Aires
ISSN
1557-170X
Print_ISBN
978-1-4244-4123-5
Type
conf
DOI
10.1109/IEMBS.2010.5626569
Filename
5626569
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