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Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies (Record no. 17352)

000 -LEADER
fixed length control field 05040nam a22004935i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310150234.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110409s2011 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441982049
978-1-4419-8204-9
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number R-RZ
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 610
Edition number 23
264 #1 -
-- New York, NY :
-- Springer New York,
-- 2011.
912 ## -
-- ZDB-2-SBL
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name El-Baz, Ayman S.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
Medium [electronic resource] :
Remainder of title Volume II /
Statement of responsibility, etc edited by Ayman S. El-Baz, Rajendra Acharya U, Andrew F. Laine, Jasjit S. Suri.
250 ## - EDITION STATEMENT
Edition statement 1.
300 ## - PHYSICAL DESCRIPTION
Extent X, 368p. 250 illus., 125 illus. in color.
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Medical Image Segmentation: A Brief Survey -- Cerebral White Matter Segmentation using Probabilistic Graph Cut Algorithm -- A New Image-Based Framework for Analyzing Cine Images -- Medical Images Segmentation Using Learned Priors -- Classification of Breast Mass in Mammography with an Improved Level Set Segmentation by Combining Morphological Features and Texture Features -- Segmentation and Skeletonization of 3-D Contrast Enhanced Ultrasound Images for the Characterization of Single Thyroid -- Shape-Based Detection of Cortex Variability for More Accurate Discrimination Between Autistic and Normal Brains -- Surface Reconstruction and Geometric Modeling for Digital Prosthesis Design -- Medical Image Registration -- Robust Image Registration Based on Learning Prior Appearance Model -- Image Registration in Medical Imaging: Applications, Methods and Clinical Evaluation -- The Applications of Feature-Based Image Metamorphosis and Eyelashes Removal in the Investigations of Ocular Thermographic Sequences -- Segmentation-Assisted Registration for Brain MR Images.
520 ## - SUMMARY, ETC.
Summary, etc With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration. Ayman S. El-Baz is currently assistant professor of Bioengineering in the Department of Bioengineering at the University of Louisville (UofL).  He is an expert in the fields of bioimaging modeling and computer assisted diagnosis systems. Dr. El-Baz received his Doctorate from University of Kentucky, Louisville, KY. Rajendra  Acharya U, PhD, DEng is leader in the field of data mining and medical devices.  He received two doctorates: one from National Institute of Technology Karnataka, Surathkal, India and second from Chiba University, Japan. He is a Senior IEEE member and on the editorial board of several journals. Currently, he is visiting faculty at Ngee Ann Polytechnic, Singapore. Andrew Laine is a Director of the Heffner Biomedical Imaging Laboratory in the Department of Biomedical Engineering at Columbia University in New York City and is Professor of Biomedical Engineering and Radiology (Physics).   His research interests include quantitative image analysis; cardiac functional imaging: ultrasound and MRI, retinal imaging, intravascular imaging and biosignal processing. He is a Fellow of AIMBE and IEEE. Dr. Jasjit S. Suri is an innovator, scientist, a visionary, an industrialist and an internationally known world leader in Biomedical Engineering. Dr. Suri has spent over 20 years in the field of biomedical engineering/devices and its management. He received his Doctorate from University of Washington, Seattle and Business Management Sciences from Weatherhead, Case Western Reserve University, Cleveland, Ohio.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medicine.
Topical term or geographic name as entry element Radiology, Medical.
Topical term or geographic name as entry element Computer vision.
Topical term or geographic name as entry element Biomedical engineering.
Topical term or geographic name as entry element Biomedicine.
Topical term or geographic name as entry element Biomedicine general.
Topical term or geographic name as entry element Imaging / Radiology.
Topical term or geographic name as entry element Image Processing and Computer Vision.
Topical term or geographic name as entry element Biomedical Engineering.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Acharya U, Rajendra.
Relator term editor.
Personal name Laine, Andrew F.
Relator term editor.
Personal name Suri, Jasjit S.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781441982032
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-8204-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-04AUM Main Library2014-04-04 2014-04-04 E-Book   AUM Main Library610