| Description: 
 This
 book provides complete descriptions of the techniques involved in 
medical image processing, using sufficient descriptions and practical 
references. Chapters cover topics of deformable registration, 
segmentation, image reconstruction, and integration of these practices 
into the radiation therapy environment. The four sections provide an 
overview of the image segmentation and reconstruction techniques using 
image processing across all modalities, and applications of these 
approaches in radiation therapy. The book also addresses the 
applications of registration, segmentation, and image reconstruction for
 radiation therapy, including adaptive radiotherapy, monitoring and 
tracking of treatment delivery, quantifying accuracy, and visualizing 
results.
 
 Offers a complete overview of image registration, segmentation, and 
reconstruction techniques as well as their effectiveness and 
applicability in a radiation therapy contextFeatures:
 
 
 Covers underlying physics and image processing associated with the techniques
 Includes critical evaluation of parametric and non-parametric image 
registration techniques and their applications in radiation therapy 
processes
 Covers image segmentation techniques, from atlas-based to level set and registration-based techniques across modalities
 Includes adaptive radiotherapy, monitoring and tracking of treatment delivery, quantifying accuracy, and visualizing results
 Contains expert assessments on covered topics
 
 
 Table of Contents:
 
 IMAGE PROCESSING IN RADIOTHERAPY APPLICATIONS
 Image Processing in Adaptive Radiotherapy; Dong
 Online Monitoring, Tracking, and Dose Accumulation; Keall
 Quantifying Accuracy of Segmentation and Registration; Balter
 Visualization
 REGISTRATION
 Rigid and Affine Registration
 Optimization Methods
 Similarity Metrics; Kessler
 Intensity Based Metrics (CC, MI, SSD, etc)
 Contour Feature Based Metrics (points, contours, segments)
 Parametric; Christensen
 B-Spline
 Thin Plate Spline
 Elastic Body Spline
 Non-Parametric, Elastic; AI-Maya and Brock
 Linear Elastic
 Viscoelastic
 Hyperelastic
 Navier-Stokes
 Non-Parametric, Fluid Diffusion; He Wang
 Viscous Fluid
 Diffusion/Demon's Algorithm
 SEGMENTATION
 Computer-aided Manual Segmentation
 Basic Segmentation (region growing, snakes, texture-based, multi-modal classifications, etc)
 Atlas-based; Kaus
 Level Set
 Registration-based; Joshi
 ADVANCED IMAGING TECHNIQUES
 Advancements in Reconstruction (analytic/iterative)
 Advancements in Respiration Sorting
 In-room Imaging Techniques
 Challenging Registration (2D to 3D, functional to anatomical images, surface to image, multi-modality); EI Naqa
 Image Pre-processing (distortion, noise minimization, artifact reduction)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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