A Task-Based Approach to Adaptive and Multimodality Imaging : Computation techniques are proposed for figures-of-merit to establish feasibility and optimize use of multiple imaging systems for disease diagnosis and treatment-monitoring

Multimodality imaging is becoming increasingly important in medical imaging. Since the motivation for combining multiple imaging modalities is generally to improve diagnostic or prognostic accuracy, the benefits of multimodality imaging cannot be assessed through the display of example images. Inste...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Proceedings of the IEEE. Institute of Electrical and Electronics Engineers. - 1998. - 96(2008), 3 vom: 11. März, Seite 500-511
1. Verfasser: Clarkson, Eric (VerfasserIn)
Weitere Verfasser: Kupinski, Matthew A, Barrett, Harrison H, Furenlid, Lars
Format: Aufsatz
Sprache:English
Veröffentlicht: 2008
Zugriff auf das übergeordnete Werk:Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
Schlagworte:Journal Article
LEADER 01000caa a22002652 4500
001 NLM185147895
003 DE-627
005 20250210004349.0
007 tu
008 231223s2008 xx ||||| 00| ||eng c
028 5 2 |a pubmed25n0617.xml 
035 |a (DE-627)NLM185147895 
035 |a (NLM)19079563 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Clarkson, Eric  |e verfasserin  |4 aut 
245 1 2 |a A Task-Based Approach to Adaptive and Multimodality Imaging  |b Computation techniques are proposed for figures-of-merit to establish feasibility and optimize use of multiple imaging systems for disease diagnosis and treatment-monitoring 
264 1 |c 2008 
336 |a Text  |b txt  |2 rdacontent 
337 |a ohne Hilfsmittel zu benutzen  |b n  |2 rdamedia 
338 |a Band  |b nc  |2 rdacarrier 
500 |a Date Revised 12.03.2024 
500 |a published: Print 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a Multimodality imaging is becoming increasingly important in medical imaging. Since the motivation for combining multiple imaging modalities is generally to improve diagnostic or prognostic accuracy, the benefits of multimodality imaging cannot be assessed through the display of example images. Instead, we must use objective, task-based measures of image quality to draw valid conclusions about system performance. In this paper, we will present a general framework for utilizing objective, task-based measures of image quality in assessing multimodality and adaptive imaging systems. We introduce a classification scheme for multimodality and adaptive imaging systems and provide a mathematical description of the imaging chain along with block diagrams to provide a visual illustration. We show that the task-based methodology developed for evaluating single-modality imaging can be applied, with minor modifications, to multimodality and adaptive imaging. We discuss strategies for practical implementing of task-based methods to assess and optimize multimodality imaging systems 
650 4 |a Journal Article 
700 1 |a Kupinski, Matthew A  |e verfasserin  |4 aut 
700 1 |a Barrett, Harrison H  |e verfasserin  |4 aut 
700 1 |a Furenlid, Lars  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Proceedings of the IEEE. Institute of Electrical and Electronics Engineers  |d 1998  |g 96(2008), 3 vom: 11. März, Seite 500-511  |w (DE-627)NLM098145274  |x 0018-9219  |7 nnns 
773 1 8 |g volume:96  |g year:2008  |g number:3  |g day:11  |g month:03  |g pages:500-511 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 96  |j 2008  |e 3  |b 11  |c 03  |h 500-511