Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

At a glance: The ONWARDS insulin icodec trials

A round-up of the ONWARDS phase 3 clinical trials evaluating the novel weekly insulin icodec in people with diabetes.
ADVANCED SEARCH
Log in
Top
Journal of Imaging Informatics in Medicine
Published in: Journal of Digital Imaging 1/2008

01-10-2008

Simplifying the Exploration of Volumetric Images: Development of a 3D User Interface for the Radiologist’s Workplace

Authors: M. Teistler, R. S. Breiman, T. Lison, O. J. Bott, D. P. Pretschner, A. Aziz, W. L. Nowinski

Published in: Journal of Imaging Informatics in Medicine | Special Issue 1/2008

Login to get access

Abstract

Volumetric imaging (computed tomography and magnetic resonance imaging) provides increased diagnostic detail but is associated with the problem of navigation through large amounts of data. In an attempt to overcome this problem, a novel 3D navigation tool has been designed and developed that is based on an alternative input device. A 3D mouse allows for simultaneous definition of position and orientation of orthogonal or oblique multiplanar reformatted images or slabs, which are presented within a virtual 3D scene together with the volume-rendered data set and additionally as 2D images. Slabs are visualized with maximum intensity projection, average intensity projection, or standard volume rendering technique. A prototype has been implemented based on PC technology that has been tested by several radiologists. It has shown to be easily understandable and usable after a very short learning phase. Our solution may help to fully exploit the diagnostic potential of volumetric imaging by allowing for a more efficient reading process compared to currently deployed solutions based on conventional mouse and keyboard.
Literature
1.
2.
Andriole KP, Morin RL, Arenson RL, Carrino JA, Erickson BJ, Horii SC, Piraino DW, Reiner BI, Seibert JA, Siegel E: Addressing the coming radiology crisis—the society for computer applications in radiology transforming the radiological interpretation process (TRIP) initiative. J Digit Imaging 17(4):235–243, 2004PubMedCrossRef
3.
4.
Cody DD: AAAPM/RSNA physics tutorial for residents: topics in CT. Image processing in CT. Radiographics 22:1255–1268, 2002PubMed
5.
Addis KA, Hopper KD, Iyriboz TA, Liu Y, Wise SW, Kasales CJ, Blebea JS, Mauger DT: CT angiography: in vitro comparison of five reconstruction methods. AJR Am J Roentgenol 177:1171–1176, 2001PubMed
6.
Haramati N: Interpretation strategies for large cross-sectional image data sets. In: Reiner BI, Siegel EL Eds. SCAR University 2003, Educating Healthcare Professionals for Tomorrow’s Technology, The Society for Computer Applications in Radiology, VA, Great Falls, 2003, pp 169–172
7.
Kockro RA, Serra L, Yeo TT, Chan C, Sitoh YY, Chua GG, Ng H, Lee E, Lee YH, Nowinski WL: Planning and simulation of neurosurgery in a virtual reality environment. Neurosurgery 46(1):118–137, 2000PubMedCrossRef
8.
Reitinger B, Bornik A, Beichel R, Werkgartner G, Sorantin E: Tools for augmented reality based liver resection planning. In: Galloway RL Jr Ed. Medical Imaging 2004: Visualization, Image-guided Procedures, and Display. Proceedings of the SPIE, volume 5367, 2004, pp 88–99
9.
Teistler M, Bott O, Dormeier J, Pretschner DP: Virtual Tomography: a new approach to efficient human–computer interaction for medical imaging. In: Galloway RL Jr Ed. Medical Imaging 2003: Visualization, Image-guided Procedures, and Display. Proceedings of the SPIE, volume 5029, 2003, pp 512–519
10.
Teistler M, Dormeier J, Dresing K, Franzen O, Habermann C, Bergmann J: The future viewing station: an intuitive and time-saving user interface beyond keyboard and mouse to improve CT and MRI based diagnosis (abstract). Radiology Suppl 225(P):764, 2002
11.
Teistler M, Lison L, Dormeier J, Pretschner DP: Improving medical imaging understanding by means of virtual and augmented reality (abstract). Radiology Suppl 221(P):731, 2001
12.
Jabs M, Saboor S, Lison T, Teistler M, Pretschner DP: How to read CT and MRI images with novel 3D techniques—managing exploration paths to improve the diagnostic process (abstract). In: RSNA ’03 Scientific Assembly and Annual Meeting Program, Radiological Society of North America, Oak Brook, IL, 2003, p 805
13.
Teistler M, Nowinski WL, Rado Y, Breiman RS, Bott OJ, Lison T: Data explosion in radiology: solving the problem on the user interface side (abstract). In: RSNA ’04 Scientific Assembly and Annual Meeting Program, Radiological Society of North America, Oak Brook, IL, 2004, p 831
14.
Jones RM: Introduction to MFC Programming with Visual C++, Microsoft Technologies Series. NJ: Prentice Hall, 1999
15.
16.
Wernecke J: The Inventor Mentor, Programming Object-oriented 3D Graphics with Open Inventor, Release 2. Ontario, Canada: Addison Wesley Longman, 1994
17.
18.
Wilson O, Gelder AV, Wilhelms J: Direct Volume Rendering Via 3D Textures. Technical Report UCSC-CRL-94-19. Santa Cruz: University of California, 1994
19.
20.
21.
Neider J, Woo M: The Official Guide to Learning OpenGL, Version 1.2. OpenGL Architecture Review Board, Addison-Wesley Longman, Amsterdam, 1999
Metadata
Title
Simplifying the Exploration of Volumetric Images: Development of a 3D User Interface for the Radiologist’s Workplace
Authors
M. Teistler
R. S. Breiman
T. Lison
O. J. Bott
D. P. Pretschner
A. Aziz
W. L. Nowinski
Publication date
01-10-2008
Publisher
Springer-Verlag
Published in
Journal of Imaging Informatics in Medicine / Issue Special Issue 1/2008
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-007-9025-8

Other articles of this Special Issue 1/2008

Journal of Digital Imaging 1/2008 Go to the issue

OriginalPaper

Efficient Whole-Body MRI Interpretation: Evaluation of a Dedicated Software Prototype

OriginalPaper

Computer-aided Prostate Cancer Detection using Texture Features and Clinical Features in Ultrasound Image

OriginalPaper

An Artificial Immune-Activated Neural Network Applied to Brain 3D MRI Segmentation

OriginalPaper

Computer-Generated Index for Evaluation of Idiopathic Scoliosis in Digital Chest Images: A Comparison with Digital Measurement

OriginalPaper

Effect of Multiscale Processing in Digital Chest Radiography on Automated Detection of Lung Nodule with a Computer Assistance System

Announcement

From the Editor’s Desk