Medical Volume Visualization Beyond Single Voxel Values / Stefan Erik Lindholm.

Format:

Book

Author/Creator:

Lindholm, Stefan Erik, author.

Series:

Linköping studies in science and technology. Dissertations ; Number 1614.

Linköping Studies in Science and Technology. Dissertations, 0345-7524 ; Number 1614

Language:

English

Subjects (All):

Diagnostic imaging--Data processing.

Diagnostic imaging.

Medicine--Data processing.

Medicine.

Physical Description:

1 online resource (106 pages) : illustrations (some color).

Edition:

1st ed.

Place of Publication:

Linköping, Sweden : Linköping University, 2014.

Language Note:

English

Contents:

Intro

Acknowledgments

Abstract

Populärvetenskaplig Sammanfattning

List of Publications

Contributions

Contents

1 Motivation

1.1 Visualization as a Tool for Exploration

1.2 Visualization in Modern Healthcare

1.3 Painter's Algorithm and Visualization

2 Core Aspects of Medical Visualization

2.1 Short Terminology of Visualization

2.2 Visualization Pipeline Overview

2.3 Data Acquisition

2.3.1 Common Data Types

2.3.2 Histograms

2.4 Direct Volume Rendering

2.4.1 The Optical Model

2.4.2 Computational Solvers

2.4.3 Sampling and Reconstruction

2.5 Fused Data Visualization

2.5.1 Multi-volume Fusion

2.5.2 Levels of Intermixing

2.6 Transfer Functions

2.6.1 Pre- and Post-classified DVR

2.6.2 One-dimensional Transfer Functions

2.6.3 Multi-dimensional Transfer Functions

2.6.4 Widget Based Transfer Functions

3 Trends and Challenges in Medical Visualization

3.1 Challenges of Modern Healthcare

3.2 25 Years of Visualization

3.3 Advancements in Fused Data Visualization

3.3.1 Geometry Based Approaches To Multi-volume Fusion

3.3.2 Depth Peeling and the Transition to the GPU

3.3.3 A-buffers and the Inclusion of Geometry

3.4 Transfer Functions 2.0

3.4.1 Classification Specificity and Multiple Dimensions

3.4.2 Explicit Spatial Information

3.4.3 High-level Semantics and Work Flow

3.5 Visualization of Vessels

3.5.1 Vesselness Measures and Transfer Functions

3.5.2 Centerlines and Segmentation

3.6 Discontinuities and Partial Volume

3.6.1 Visual Classification

3.6.2 Explicit Segmentation

3.6.3 Statistical Models

4 Medical Volume Visualization Beyond Single Voxel Values

4.1 Overview of Contributions

4.2 Consolidation of Multiple Data Sources

4.2.1 Binary Space Partitioning for Volumetric Fusion.

4.2.2 Per-Pixel Depth Complexity Adjustments for Hybrid Data

4.3 Feature Prediction and Data Prioritization

4.3.1 Automatic Transfer Function Tuning Based on Vesselness

4.3.2 Registration Based Regions-of-Interest

4.4 Probabilistic Classifiers and User Knowledge

4.4.1 Clinical Data Prioritization by Spatial Conditioning

4.4.2 Improved Representations of Discontinuities

5 Generalizations and Reflections

5.1 Transfer Functions 3.0

5.1.1 Problematizing Transfer Function Classification

5.1.2 Complications of Interpreting User Input

5.1.3 Problematizing Material Probability

5.2 Summary and Future Work

5.3 Reflections

Bibliography.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references.

Description based on online resource; title from PDF cover (ebrary, viewed September 18, 2014).

ISBN:

91-7519-256-X