Magnetic Resonance (MR) Imaging (MRI), a non-invasive method for
imaging the human body, has revolutionized medical imaging. MR
image processing, particularly segmentation, and analysis are used
extensively in medical and clinical research for advancing our
understanding and diagnosis of various human diseases. These
efforts face two major difficulties - the first due to image
intensity inhomogeneity present as a background variation
component, and the second due to the non-standardness of the MR
image intensities. Scale is a fundamental concept useful in almost
all image processing and analysis tasks. Broadly speaking, scale
related work can be divided into multi-scale representations
(global models) and local scale models. In this thesis, we present
a new morphometric scale model that we refer to as generalized
scale which combines the properties of local scale models with the
global spirit of multi-scale representations. We contend that this
semi-locally adaptive nature of generalized scale confers it
certain distinct advantages over other scale formulations, making
it readily applicable to solving several image processing tasks.
General
Imprint: |
VDM Verlag Dr. Mueller E.K.
|
Country of origin: |
Germany |
Release date: |
October 2008 |
First published: |
October 2008 |
Authors: |
Anant Madabhushi
• Jayaram Udupa
|
Dimensions: |
229 x 152 x 10mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
176 |
ISBN-13: |
978-3-8364-7378-1 |
Categories: |
Books >
Medicine >
General issues >
General
|
LSN: |
3-8364-7378-X |
Barcode: |
9783836473781 |
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