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A task-based approach to adaptive and multimodality imaging

delete2008-03-01
delete37
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OA
AI
E
Eric Clarkson *
M
Matthew A. Kupinski
H
Harrison H. Barrett
L
Lars R. Furenlid
DOI:10.1109/JPROC.2007.913553delete
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摘要

摘要

En 中文
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.
Keyword:
adaptive imaging
image quality
multimodality

期刊

Proceedings of the IEEE 封面图
Proceedings of the IEEE
IF:
25.9
论文数:
9.9K
被引数:
4.5W

机构

U
University of Arizona
学者数:
3.6W
论文数: 3.2W
被引数: 980
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