title: Iterative image warping technique for temporal subtraction of sequential chest radiographs to detect interval change.
abstract: A temporal subtraction technique has been developed to assist radiologists in the detection of interval changes on chest radiographs. Although the overall performance of the current temporal subtraction technique is relatively good, severe misregistration errors, mainly due to AP inclination and/or rotation, are observed in some cases. In order to reduce these errors, we attempted to improve the subtraction scheme by applying an iterative image warping technique. In cases obtained with the new temporal subtraction technique 177 (97.8%) of 181 showed adequate, good, or excellent quality. We also found that 156 (86.2%) of cases obtained with the new scheme showed improvements in the quality of the subtraction images compared with the previous scheme. The results indicate that the performance of the temporal subtraction technique was greatly improved by use of the iterative image warping technique.
authors.affiliation: Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, The University of Chicago, Illinois 60637, USA.
authors.forename: T
authors.initials: T
authors.lastname: Ishida
authors.forename: S
authors.initials: S
authors.lastname: Katsuragawa
authors.forename: K
authors.initials: K
authors.lastname: Nakamura
authors.forename: H
authors.initials: H
authors.lastname: MacMahon
authors.forename: K
authors.initials: K
authors.lastname: Doi
mesh_terms: D016208:Databases, Factual; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging; D008403:Mass Screening; D015588:Observer Variation; D013902:Radiography, Thoracic; D012272:Ribs / Q000000981:diagnostic imaging; D013997:Time Factors