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Content

Visual Computing for Virtual Anatomy

Lecturers: Oliver Bimber, Franz Fellner, Marc Streit

Introduction
This course will be jointly thought by the Radiology Department of the Allgemeines Krankenhaus (AKH) der Stadt Linz and by the Institute of Computer Graphics of JKU.
It will teach students virtual anatomy based on four key columns of visual computing: 1. Imaging Technology and Techniques, 2. Image Formation and Processing, 3. Visualization, and 4. Display Technology and Techniques.
Two golden threads can lead through the lectures and labs:
a) For the lecture part: a continuous discussion on errors that are made through the entire processing chain (describing what the difference is between the real anatomy and what we finally see on a screen): precision of imaging systems and calibration, limitations of discretization in image processing and SNR, limitations of data interpolation in registration and visualization, issues with display calibration and limitations of human visual perception.
b) For the lab part: Students can work continuously with the same data sets. The data can be scanned in the AKH first, then we use this data for image processing, visualization and finally for displaying it in the CAVE and on calibrated / uncalibrated diagnostics screens. Familiarizing the students with the same dataset over the entire semester makes them more sensitive to seeing differences.

Contents
In particular, this course will discuss the following constitutive topics: Imaging Technology and Techniques (X-Ray, Ultrasound, Computer Tomography, Magnetic Resonance Imaging, xcursion to AKH, Scanning Datasets at AKH), Image Formation and Processing (Image Reconstruction, Segmentation, Registration, ImageJ, nsight Segmentation and Registration Toolkit), Visualization (Visualization Fundamentals, Scientific Data Visualization, Information Visualization and Visual Analytics, Visualization Tool Kit, ParaView, VolView), Display Technology and Techniques (Display Technology Fundamentals, Three-Dimensional Displays, High-Dynamic Range Displays, Virtual Anatomy in the Virtual Reality Center, Exploration of Radiological Data with Diagnostic Screens)

Location AKH Linz (exact dates see KUSSS)
Zentrales Radiologie Institut
4021 Linz, Krankenhausstraße 9
Bau B/Untergeschoß (Eingang über Haupteingang), grüner Linie folgen zu Radiologie/Röntgen/ZRI
Raum-Nr.: 0/122A

Selected Readings
1) Erkonen WE. Radiology 101: the basics and fundamentals of imaging. Lippincott Williams & Wilkins, 2009.
2) Breitenseher M. Lehrbuch der radiologisch-klinischen Diagnostik. University Publisher 3.0, 2012
3) Wetzke M. Basics Bildgebende Verfahren, Urban & Fischer/Elsevier, 2009
4) Dössel O. Bildgebende Verfahren in der Medizin: Von der Technik zur medizinischen Anwendung. Springer, 1999
5) Image Processing: The Fundamentals, Maria Petrou and Costas Petrou, Wiley, 2nd edition, 2010
6) Digital Image Processing: An Algorithmic Introduction Using Java, Wilhelm Burger and Mark Burge, Springer, 2008
7) Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis, Terry S. Yoo, Wellesley, 2004
8) Data Visualization: Principle and Practice, Alexandru C. Thela, AK Peters, 2008
9) Interactive Data Visualization: Foundations, Techniques, and Applications; Matthew Ward, George Grinstein and Daniel Keim, A K Peters, 2010
10) Information Visualization. Perception for Design, Collin Ware, Morgan Kaufmann, 2nd edition, 2004
11) Information Visualization: Design for Interaction, Robert Spence, Prentice Hall, 2nd edition, 2006
12) High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting, 2nd Edition, Erik Reinhard, Greg Ward, Sumanta Pattanaik, and Paul Debevec, Wolfgang Heidrich, and Karol Myszkowski, Morgan Kaufman, 2010
13) Displays: Fundamentals and Applications, Rolf Hainich and Oliver Bimber, CRC Press / A K Peters, 2011