| Description |
1 online resource (xiii, 415 pages, 8 unnumbered pages of plates) : illustrations (some color) |
|
text txt rdacontent |
|
computer c rdamedia |
|
online resource cr rdacarrier |
|
data file rda |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
Foundations of medical imaging and signal recording -- Spectral transformations -- Information theory and principal component analysis -- Independent component analysis and blind source separation -- Dependent component analysis -- Pattern recognition techniques -- Fuzzy clustering and genetic algorithms -- Exploratory data analysis methods for fMRI -- Low-frequency functional connectivity in fMRI -- Classification of dynamic breast MR image data -- Dynamic cerebral contrast-enhanced perfusion MRI -- Skin lesion classification -- Microscopic slice image processing and automatic labeling -- NMR water artifact removal. |
| Note |
Print version record. |
| Summary |
"Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting, storing, transmitting, analyzing, and displaying images have been developed in recent years, allowing scientists and physicians to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. This book offers an overview of a range of proven and new methods, discussing both theoretical and practical aspects of biomedical signal analysis and interpretation." "After an introduction to the topic and a survey of several processing and imaging techniques, the book describes a broad range of methods, including continuous and discrete Fourier transforms, independent component analysis (ICA), dependent component analysis, neural networks, and fuzzy logic methods. The book then discusses applications of these theoretical tools to practical problems in everyday biosignal processing, considering such subjects as exploratory data analysis and low-frequency connectivity analysis in fMRI, MRI signal processing including lesion detection in breast MRI, dynamic cerebral contrast-enhanced perfusion MRI, skin lesion classification, and microscopic slice image processing and automatic labeling." "Biomedical Signal Analysis can be used as a text or professional reference. Part I, on methods, forms a self-contained text, with exercises and other learning aids, for upper-level undergraduate or graduate-level students. Researchers or graduate students in systems biology, genomic signal processing, and computer-assisted radiology will find both parts I and II (on applications) a valuable handbook."--Jacket. |
| Language |
English. |
| Subject |
Magnetic resonance imaging.
|
|
Image processing.
|
|
Diagnostic imaging.
|
|
Magnetic Resonance Imaging -- methods |
|
Algorithms |
|
Image Processing, Computer-Assisted |
|
Magnetic Resonance Imaging |
|
Diagnostic Imaging |
|
Imagerie par résonance magnétique.
|
|
Traitement d'images.
|
|
Imagerie pour le diagnostic.
|
|
Algorithmes.
|
|
image processing.
|
|
algorithms.
|
|
MEDICAL -- Diagnostic Imaging.
|
|
MEDICAL -- Diagnosis.
|
|
Diagnostic imaging
|
|
Image processing
|
|
Magnetic resonance imaging
|
| Indexed Term |
BIOMEDICAL SCIENCES/General |
|
ENGINEERING/Biological Engineering |
| Added Author |
Meyer-Bäse, Anke.
|
| Other Form: |
Print version: Theis, Fabian J. Biomedical signal analysis. Cambridge, Mass. : MIT Press, ©2010 9780262013284 (DLC) 2008055768 (OCoLC)297222796 |
| ISBN |
9780262259248 (electronic bk.) |
|
0262259249 (electronic bk.) |
|
9780262260077 (electronic bk.) |
|
0262260077 (electronic bk.) |
|
9781615835157 (electronic bk.) |
|
1615835156 (electronic bk.) |
|
0262013282 (hardcover ; alk. paper) |
|
9780262013284 (hardcover ; alk. paper) |
|
026225848X |
|
9780262258487 |
|
1282638165 |
|
9781282638167 |
|
9786612638169 |
|
6612638168 |
| Standard No. |
AU@ 000046126188 |
|
AU@ 000051351083 |
|
CDX 13832367 |
|
DEBBG BV043096448 |
|
DEBBG BV044105470 |
|
DEBSZ 421951567 |
|
GBVCP 803305362 |
|
NZ1 13864268 |
|
NZ1 15620362 |
|
