Biomedical Image Analysis: Methodologies And Applications

Nikolaos Paragios; James Duncan; Nicholas Ayache

inria-00616178, version 1

Biomedical Image Analysis: Methodologies And Applications

Nikolaos Paragios ^1, 2, James Duncan ³, Nicholas Ayache ( Author to contact preferably ) ⁴

Biomedical Image Analysis: Methodologies And Applications (2012) -

1: GALEN (INRIA Saclay - Ile de France)
INRIA – Ecole Centrale Paris Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex France
2: Mathématiques Appliquées aux Systèmes - EA 4037 (MAS)
http://www.mas.ecp.fr/
Ecole Centrale Paris Grande Voie des Vignes 92295 Châtenay-Malabry France
3: Yale school of Engineering [New Haven]
http://www.seas.yale.edu/
Université Yale - New Haven School of Engineering & Applied Science | Yale University | Dunham Laboratory | Room 222 | 10 Hillhouse Avenue | U.S. Mail: P.O. Box 208267 | New Haven, CT 06520-8267 United States
4: ASCLEPIOS (INRIA Sophia Antipolis)
http://www-sop.inria.fr/asclepios
INRIA 2004 route des lucioles, BP93 06902 Sophia Antipolis Cedex France

Bibliographic reference

inria-00616178, version 1
http://hal.inria.fr/inria-00616178
oai:hal.inria.fr:inria-00616178
From: Project-Team Asclepios <>
Submitted for: Gregoire MALANDAIN <>
Submitted on: Friday, 19 August 2011 19:47:25
Updated on: Thursday, 31 January 2013 11:52:03

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%% inria-00616178, version 1
%% http://hal.inria.fr/inria-00616178
@book{paragios:inria-00616178,
    hal_id = {inria-00616178},
    url = {http://hal.inria.fr/inria-00616178},
    title = {{Biomedical Image Analysis: Methodologies And Applications}},
    author = {Paragios, Nikolaos and Duncan, James and Ayache, Nicholas},
    abstract = {{Biomedical image analysis has become a major aspect of engineering sciences, and radiology in particular has become a dominant player in the field. Recent developments have made it possible to use biomedical imaging to view the human body from an anatomical or physiological perspective in a non-invasive fashion. Computer-aided diagnosis consists of developing algorithms and intelligent software components that can automatically process images and spot potential irregularities in the health chain. The aim of this book is to explain the process of biomedical imaging, from image acquisition to automated diagnosis. This process consists of three thematic areas. The first is dedicated to the acquisition process and the underlying properties of images from a physics-oriented perspective. The second part addresses the dominant state-of-the-art methodologies behind content extraction and interpretation of medical images. The third section presents an application-based example, which develops solutions to address the particular needs of various diagnoses. This complete volume is an exceptional tool for radiologists, research scientists, senior undergraduate and graduate students in health sciences and engineering, and university professors. This book offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done, and how the most appropriate algorithms are used to address demands and diagnoses.}},
    language = {English},
    affiliation = {GALEN - INRIA Saclay - Ile de France , Math{\'e}matiques Appliqu{\'e}es aux Syst{\`e}mes - EA 4037 - MAS , Yale school of Engineering [New Haven] , ASCLEPIOS - INRIA Sophia Antipolis},
    publisher = {Springer},
    pages = {-},
    editor = {Paragios, Nikos and Duncan, Jim and Ayache, Nicholas },
    note = {590 pages },
    audience = {international },
    isbn = {978-0-387-09748-0 },
    year = {2012},
}

%F inria-00616178, version 1
%0 Book
%U http://hal.inria.fr/inria-00616178
%2 INFO:INFO_IM;INFO:INFO_MO;SDV:IB:IMA;SPI:SIGNAL;INFO:INFO_TS
%T Biomedical Image Analysis: Methodologies And Applications
%A Paragios, Nikolaos
%A Duncan, James
%A Ayache, Nicholas
%+ GALEN - INRIA Saclay - Ile de France , Mathématiques Appliquées aux Systèmes - EA 4037 - MAS , Yale school of Engineering [New Haven] , ASCLEPIOS - INRIA Sophia Antipolis
%X Biomedical image analysis has become a major aspect of engineering sciences, and radiology in particular has become a dominant player in the field. Recent developments have made it possible to use biomedical imaging to view the human body from an anatomical or physiological perspective in a non-invasive fashion. Computer-aided diagnosis consists of developing algorithms and intelligent software components that can automatically process images and spot potential irregularities in the health chain. The aim of this book is to explain the process of biomedical imaging, from image acquisition to automated diagnosis. This process consists of three thematic areas. The first is dedicated to the acquisition process and the underlying properties of images from a physics-oriented perspective. The second part addresses the dominant state-of-the-art methodologies behind content extraction and interpretation of medical images. The third section presents an application-based example, which develops solutions to address the particular needs of various diagnoses. This complete volume is an exceptional tool for radiologists, research scientists, senior undergraduate and graduate students in health sciences and engineering, and university professors. This book offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done, and how the most appropriate algorithms are used to address demands and diagnoses.
%G English
%8 2012-00-00
%2 international
%E Paragios, Nikos and Duncan, Jim and Ayache, Nicholas
%I Springer
%P -
%2 978-0-387-09748-0
%2 2011
%Z 590 pages