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Advances in diagnostic and therapeutic ultrasound imaging

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This groundbreaking resource offers you exclusive coverage of the latest techniques in diagnostic and therapeutic 3-D ultrasound imaging instrumentation and techniques. Providing a solid overview of potential applications in clinical practice, you find need-to-know details on major diseases, including vascular diseases, breast cancer, cardiac abnormalities and prostate cancer.

Title Advances in diagnostic and therapeutic ultrasound imaging / Jajit S. Suri [and others], editors.
Edition 1st ed.
Publisher Boston
Artech House
Distributor Piscataqay, New Jersey : IEEE Xplore
Creation Date ©2008
Notes Description based upon print version of record.
Also available in print.
Includes bibliographical references and index.
English
Content Advances in Diagnostic and Therapeutic Ultrasound Imaging
Contents
Preface
Part I Recent Advances in UltrasoundInstrumentation
Chapter 1 3-D Ultrasound Imaging
1.1 Introduction
1.2 Disadvantages of 2-D Ultrasound
1.3 3-D Ultrasound Scanning Techniques
1.4 Mechanical Scanning
1.4.1 Linear Mechanical 3-D Scanners
1.4.2 Tilt 3-D Mechanical Scanners
1.4.3 Endocavity Rotational 3-D Scanners
1.5 Free-Hand Scanning with Position Sensing
1.5.1 Tracked 3-D US with Articulated Arm Sensing
1.5.2 Free-Hand 3-D US with Acoustic Tracking.
1.5.3 Free-Hand 3-D Scanning with Magnetic Field Sensing1.5.4 3-D US Tracked by Speckle Decorrelation
1.6 Free-Hand 3-D US Scanning Without Position Sensing
1.7 2-D Array Scanning for Dynamic 3-D Ultrasound (4-D US)
1.8 3-D Ultrasound Visualization
1.8.1 Multiplanar Reformatting
1.8.2 Volume Rendering Techniques
1.9 3-D Ultrasound-Guided Prostate Therapy
1.9.1 Early-Stage Prostate Cancer Management
1.9.2 US-Guided Prostate Brachytherapy
1.9.3 3-D TRUS-Guided Brachytherapy System
1.9.4 3-D TRUS Imaging System
1.9.5 Prostate Segmentation
1.9.5.1 Initialization
1.9.5.2 Refinement.
1.9.5.3 Propagation1.9.6 Dosimetry
1.9.7 Calibration of the Coordinate Systems
1.9.8 Needle Segmentation
1.10 Evaluation of 3-D TRUS-Guided Brachytherapy System
1.10.1 Methods of Calibration
1.10.1.1 Fiducial Localization Error
1.10.1.2 Fiducial Registration Error
1.10.1.3 Target Registration Error
1.10.2 Results of Calibration
1.10.3 Accuracy of Needle Placement
1.10.4 Accuracy of Needle Angulation
1.10.5 Accuracy of Needle Targeting
1.10.6 Accuracy of Needle Tracking
1.10.7 Accuracy of Seed Implantation
1.11 Conclusions
Acknowledgments
References.
Chapter 2 Despeckle Filtering in Ultrasound Imaging of the Carotid Artery2.1 Introduction
2.2 Despeckle Filtering
2.2.1 Local Statistics Filtering
2.2.1.1 First-Order Statistics Filtering (lsmv, wiener)
2.2.1.2 Homogeneous Mask Area Filtering (lsminsc)
2.2.2 Median Filtering (median)
2.2.3 Maximum Homogeneity over a Pixel Neighborhood Filtering (homog)
2.2.4 Geometric Filtering (gf4d)
2.2.5 Homomorphic Filtering (homo)
2.2.6 Diffusion Filtering
2.2.7 Wavelet Filtering (waveltc)
2.3 Methodology
2.3.1 Material
2.3.2 Recording of Ultrasound Images
2.3.3 Despeckle Filtering.
2.3.4 Texture Analysis2.3.4.1 Statistical Features (SF)
2.3.4.2 Spatial Gray-Level Dependence Matrices (SGLDMs)
2.3.4.3 Gray Level Difference Statistics (GLDS) [44]
2.3.4.4 Neighborhood Gray Tone Difference Matrix (NGTDM) [45]
2.3.4.5 Statistical Feature Matrix (SFM) [46]
2.3.4.6 Laws Texture Energy Measures (TEM) [46]
2.3.4.7 Fractal Dimension Texture Analysis (FDTA) [46]
2.3.4.8 Fourier Power Spectrum (FPS) [46]
2.3.5 Distance Measures
2.3.6 Univariate Statistical Analysis
2.3.7 kNN Classifier
2.3.8 Image Quality Evaluation Metrics
2.3.9 Visual Evaluation by Experts
2.4 Results.
Series Artech House bioinformatics & biomedical imaging series
Extent 1 online resource (448 p.)
Language English
National Library system number 997010718422605171
MARC RECORDS
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