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What do we know about volumetric medical image interpretation?: a review of the basic science and medical image perception literatures
- Source :
- Cognitive Research, Vol 4, Iss 1, Pp 1-24 (2019), Cognitive Research: Principles and Implications
- Publication Year :
- 2019
- Publisher :
- SpringerOpen, 2019.
-
Abstract
- Interpretation of volumetric medical images represents a rapidly growing proportion of the workload in radiology. However, relatively little is known about the strategies that best guide search behavior when looking for abnormalities in volumetric images. Although there is extensive literature on two-dimensional medical image perception, it is an open question whether the conclusions drawn from these images can be generalized to volumetric images. Importantly, volumetric images have distinct characteristics (e.g., scrolling through depth, smooth-pursuit eye-movements, motion onset cues, etc.) that should be considered in future research. In this manuscript, we will review the literature on medical image perception and discuss relevant findings from basic science that can be used to generate predictions about expertise in volumetric image interpretation. By better understanding search through volumetric images, we may be able to identify common sources of error, characterize the optimal strategies for searching through depth, or develop new training and assessment techniques for radiology residents.
- Subjects :
- Experimental psychology
Computer science
Cognitive Neuroscience
Experimental and Cognitive Psychology
lcsh:Consciousness. Cognition
Review Article
Expertise
050105 experimental psychology
Image (mathematics)
03 medical and health sciences
0302 clinical medicine
0501 psychology and cognitive sciences
Motion onset
Image perception
Visual search
Information retrieval
Interpretation (philosophy)
05 social sciences
Workload
Medical image perception
lcsh:BF309-499
3. Good health
Volumetric medical images
Scrolling
Radiology
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 23657464
- Volume :
- 4
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Cognitive Research
- Accession number :
- edsair.doi.dedup.....cfa2df38b7a0183c56d24d784add6af5