BJR
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

British Journal of Radiology (2006) 79, 17-23
© 2006 British Institute of Radiology
doi: 10.1259/bjr/23726774

This Article
Right arrow Abstract Freely available
Right arrow Full Text
Right arrow Full Text (PDF)
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Requardt, H
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Requardt, H

Technology solutions for better outcomes: integrated information management in key to productivity increases in medicine

H Requardt, PhD

Group Executive Management, Siemens Medical Solutions, Henkestrasse 127, 91052 Erlangen, Germany


Figure 1
View larger version (20K):

[in a new window]
 
Figure 1. The change of age distribution in more developed regions. The qualitative cost curve reflects the current status. If nothing changes, the real overall cost can be the integral over the age distribution multiplied by the cost curve.

 

Figure 2
View larger version (139K):

[in a new window]
 
Figure 2. Volume-rendered abdominal CT image. The underlying image dataset consists of approximately 800 images.

 

Figure 3
View larger version (71K):

[in a new window]
 
Figure 3. High resolution CT image of the heart. The stent structure is clearly delineated.

 

Figure 4
View larger version (138K):

[in a new window]
 
Figure 4. Diffusion spectral MR image. Colours code for spatial directions.

 

Figure 5
View larger version (45K):

[in a new window]
 
Figure 5. Contiguous improvement cycles stimulated by technology (examples).

 

Figure 6
View larger version (78K):

[in a new window]
 
Figure 6. PET images overlaid to a volume-rendered CT dataset. The primary breast cancer is clearly delineated. Metastasis search is done within the same dataset.

 

Figure 7
View larger version (61K):

[in a new window]
 
Figure 7. Computer-aided detection (CAD) algorithms detect polyps in a virtual colonoscopy. The sensitivity for polyps =>ge; 6 mm is on average 90%; and the median false positive rate is a manageable 3 per volume [3].

 

Figure 8
View larger version (83K):

[in a new window]
 
Figure 8. Multitube CT set-up. The system enables a new degree of freedom allowing for double temporal resolution and/or novel contrast opportunities.

 

Figure 9
View larger version (25K):

[in a new window]
 
Figure 9. Workflow engine editor. The various decision steps reflect the time-critical diagnosis and treatment of an acute stroke. The time window for initiating thrombolysis is computer controlled.

 

Figure 10
View larger version (37K):

[in a new window]
 
Figure 10. Steps for cancer development. Today's procedures detect cancer at a very late stage associated with high treatment cost and reduced prognosis. Early detection schemes lead to cellular and molecular levels; one of the exciting novel areas of "molecular medicine".

 

Figure 11
View larger version (22K):

[in a new window]
 
Figure 11. Process chart of future treatment planning. Data access for both the patient's individual electronic patient record and a comprehensive knowledge data base are crucial to enable state-of-the-art medical treatment for everyone, everywhere.

 





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
BJR DMFR IMAGING  ALL BIR JOURNALS 
Copyright © 2006 by the British Institute of Radiology.