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MEDICAL IMAGE PERCEPTION LABORATORY

Department of Radiology, The University of Iowa

 

The Medical Image Perception Laboratory investigates the human component of image interpretation.  There are two primary ways to reduce diagnostic error in radiology.  One approach improves imaging technology so that abnormalities are more visible.  The vast majority of technical research and clinical endeavors is concentrated in this activity.  The other approach is to improve the interpretive process itself.  Interpretation is the most crucial, yet least understood part of the diagnostic process.  By studying the perceptual and intellectual aspects of how a physician interprets images, the causes of interpretive failure may be understood and corrected.

 
image of face/vase figure/ground superimposed over x-ray of chest

"As long as humans read images, the capability of the human visual perceptual system will define the limits of performance."

Harold Kundel

(Seminars in Respiratory Medicine, 1989)

 
New versions of DBM MRMC & Curve-Fitting DLLs are available. - Thursday, April 24, 2008
A new version of DBM MRMC (Version 2.2) is now available for download.  Unlike the prior beta versions, this version does not have an expiration date.  This version corrects a bug that existed in the prior versions when small data sets were analyzed--especially with the trapezoidal analyses.
 
New features in this version:
1. There is now an option under ANOVA options to provide the Obuchowski-Rockette components of variance as part of the ANOVA output.
2. The program provides a text output file that contains curve points as well as observed and fitted ROC points.  This information can be used in third-party programs (e.g., Excel) to generate ROC curves.
 
Registered users have access to areas of the website that are inaccessible to anonymous/unregistered users. Downloads of current versions of the ROC software such as DBM MRMC, RSCORE-J, and sample programs that call the curve-fitting DLLs are only available to registered users.

To register, click on the "Register" link in the upper-righthand corner of the page.  Many of the registration fields (e.g., phone number) are optional.  We do ask that you provide your institutional affiliation (if any) and title (if any) as part of the registration process.  You will need to provide a valid e-mail address to complete the registration process.
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