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Related Experiment Videos

Alternative input devices for efficient navigation of large CT angiography data sets.

Anthony J Sherbondy1, Djamila Holmlund, Geoffrey D Rubin

  • 1Radiology 3D Laboratory, James H. Clark Center, Stanford University School of Medicine, 318 Campus Dr, Rm S323, Stanford, CA 94305-5450, USA. sherbond@stanford.edu

Radiology
|January 27, 2005
PubMed
Summary

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For navigating large computed tomographic (CT) angiography datasets, the trackball device is less efficient than alternatives. Other devices like the tablet can improve interpretation speed and accuracy for radiologists.

Area of Science:

  • Medical imaging
  • Radiology
  • Picture Archiving and Communication Systems (PACS)

Background:

  • Efficient navigation of large computed tomographic (CT) angiography datasets is crucial for accurate interpretation.
  • Picture Archiving and Communication System (PACS) workstations are central to medical image review.
  • The choice of input device can significantly impact user performance in complex data visualization tasks.

Purpose of the Study:

  • To compare the efficiency of different input devices for navigating large CT angiography datasets.
  • To identify optimal devices for image interpretation at PACS workstations.

Main Methods:

  • Five radiologists evaluated trackball, tablet, jog-shuttle wheel, and mouse for target acquisition in CT angiography datasets (average 1025 sections).

Related Experiment Videos

  • A secondary study with 13 non-radiologists assessed navigation performance metrics including time to target sighting and acquisition.
  • Statistical analysis included repeated-measures ANOVA and pairwise comparisons to determine significant differences between devices.

    • Main Results:

    • Device choice significantly impacted total time (T1) for target acquisition (P < .05).
    • The trackball was significantly slower than the tablet and jog-shuttle wheel for overall navigation.
    • The trackball demonstrated higher accuracy in terms of sections traversed during navigation (d1, d2) compared to other devices (P < .05).

    Conclusions:

    • The trackball is not the optimal device for navigating large CT angiography datasets.
    • Utilizing alternative devices such as the tablet may enhance the efficiency and accuracy of interpreting large medical imaging datasets.