S. Garlatti et M. Sharples, THE USE OF A COMPUTERIZED BRAIN ATLAS TO SUPPORT KNOWLEDGE-BASED TRAINING IN RADIOLOGY, Artificial intelligence in medicine, 13(3), 1998, pp. 181-205
Trainers of radiologists face the particular challenges of teaching no
rmal and abnormal appearance for a variety of imaging modalities, prov
iding access to a large appropriately-indexed case library, and teachi
ng a consistent approach to the reporting of cases. The computer has t
he potential to address these issues, to supplement conventional teach
ing of radiology by providing case-based tutoring and diagnostic suppo
rt based on a large library of images of normal and abnormal anatomy,
described in a consistent terminology. The paper presents a new approa
ch to computer-based training in radiology that combines a knowledge-b
ased tutor with an on-line medical atlas. It describes two existing co
mputer systems, the MR Tutor and ATLAS, and discusses the medical, com
putational, epistemic, and pedagogic issues involved in developing a c
ombined Atlas-Tutor. Integrating an atlas with a training system could
significantly improve the teaching and support offered, but practical
difficulties include the need to merge knowledge representations and
to incorporate techniques for registering atlas plates on images that
exhibit abnormalities. The paper addresses these problems, and conclud
es by indicating how the Atlas-Tutor might be employed in practical ra
diology training. (C) 1998 Published by Elsevier Science B.V. All righ
ts reserved.