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Implementation of graphic user interface screen capture solution for workflow assessment of abdominal MR examinations valuable tool to analyze discrepancies in expected and experienced MR table time.

Abstract：

RATIONALE AND OBJECTIVES:The aim of this study was to assess if graphical user interface screen-capture software applied to a magnetic resonance (MR) hardware console could nonintrusively allow the analysis of discrepancies between expected and experienced MR table time. MATERIALS AND METHODS:Individual MR examination acquisition processes were captured in audio-video interleave streams for 10 patients who underwent comprehensive liver MR imaging. These audio-video streams were dissected into periods of true image data acquisition, scanner activity without direct image data acquisition, and scanner inactivity. RESULTS:Total expected time required for standardized liver MR image acquisition was estimated at 15 minutes. Experienced table times varied highly, ranging from 19:00 to 58:08 minutes. Image data acquisition occurred during approximately 58% (range, 43.3%-73.7%) of overall table time. Image data were obtained approximately 77% (range, 65.6%-87.0%) of the time the scanner spent active. CONCLUSION:Graphical user interface screen-capture software installed on an MR console nonintrusively revealed significant periods of table time spent not obtaining true image data and explained discrepancies between expected and experienced MR table times. Table-time calculations using Digital Imaging and Communications in Medicine image headers and scanner-logged time stamps are underestimations of true table time because they do not take into account some scanner activities not directly leading to image formation.

journal_name

Acad Radiol

journal_title

Academic radiology

authors

Roth CJ,Boll DT,Chea YW,Wall LK,Merkle EM

doi

10.1016/j.acra.2009.05.009

subject

Has Abstract

pub_date

2009-10-01 00:00:00

pages

1286-91

issue

10

eissn

1076-6332

issn

1878-4046

pii

S1076-6332(09)00306-7

journal_volume

16

pub_type

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