Paper
19 April 2004 Interaction techniques for radiology workstations: impact on users' productivity
Author Affiliations +
Abstract
As radiologists progress from reading images presented on film to modern computer systems with images presented on high-resolution displays, many new problems arise. Although the digital medium has many advantages, the radiologist’s job becomes cluttered with many new tasks related to image manipulation. This paper presents our solution for supporting radiologists’ interpretation of digital images by automating image presentation during sequential interpretation steps. Our method supports scenario based interpretation, which group data temporally, according to the mental paradigm of the physician. We extended current hanging protocols with support for “stages”. A stage reflects the presentation of digital information required to complete a single step within a complex task. We demonstrated the benefits of staging in a user study with 20 lay subjects involved in a visual conjunctive search for targets, similar to a radiology task of identifying anatomical abnormalities. We designed a task and a set of stimuli which allowed us to simulate the interpretation workflow from a typical radiology scenario - reading a chest computed radiography exam when a prior study is also available. The simulation was possible by abstracting the radiologist’s task and the basic workstation navigation functionality. We introduced “Stages,” an interaction technique attuned to the radiologist’s interpretation task. Compared to the traditional user interface, Stages generated a 14% reduction in the average interpretation.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adrian Moise and M. Stella Atkins "Interaction techniques for radiology workstations: impact on users' productivity", Proc. SPIE 5371, Medical Imaging 2004: PACS and Imaging Informatics, (19 April 2004); https://doi.org/10.1117/12.534468
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Radiology

Information technology

Chest

Computing systems

Human-machine interfaces

Statistical analysis

Visualization

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