Title :
Single-slice versus multi-slice display for human-observer lesion-detection studies
Author :
Wells, R.G. ; King, M.A. ; Gifford, H.C. ; Pretorius, P.H.
Author_Institution :
Massachusetts Univ. Med. Center, Worcester, MA, USA
fDate :
6/1/2000 12:00:00 AM
Abstract :
Use of a single-slice (2D) display for observer studies may bias results acid reduce the studies´ clinical generalizability. Human observers perform better at the task of lesion detection with 3D-processed images than they do with 2D-processed images when the images are presented using a 2D display. However, 3D-processing techniques incorporate information from out-of-plane or adjacent slices into an image and thus provide more information to the observer than does a similar 2D-processing method. Observer performance with 2D-processing methods may improve if the adjacent-slice information is provided by way of a multi-slice (3D) display. 3D processing also introduces 3D distracters which may not be present with 2D processing. The authors investigated, with a human-observer LROC study, the impact of 2D versus 3D display on FBP and OSEM reconstruction followed by 2D and 3D filtering. Three display modes were used: single-slice, multi-slice, and multi-slice with cine. The emulated clinical task was the detection and localization of small gallium lesions in thoracic SPECT scans. Results indicate that 3D display generally improves performance over the 2D display, as measured by the area under the LROC curve and the probability of correct localization. The improvement is greater for 2D-than for 3D-filtered reconstruction, leading to a reduction in the significance of the differences between them
Keywords :
image reconstruction; medical image processing; single photon emission computed tomography; visual perception; 2D display; 3D-processed images; Ga; adjacent-slice information; clinical generalizability; correct localization probability; display mode; emulated clinical task; human observers; lesion detection; medical diagnostic imaging; nuclear medicine; observer performance; small gallium lesions; thoracic SPECT scans; Background noise; Biomedical imaging; Filtering; Humans; Image reconstruction; Lesions; Three dimensional displays; Two dimensional displays;
Journal_Title :
Nuclear Science, IEEE Transactions on