title: Temporal subtraction of thin-section thoracic computed tomography based on a 3-dimensional nonlinear geometric warping technique.
abstract: The authors developed a computer system that automatically produces temporal subtraction images on thin-section thoracic computed tomography based on a 3-dimensional nonlinear geometric warping technique. The automated subtraction system was applied to data from 20 subjects with lung diseases. Nineteen (95%) of 20 results showed good or excellent image quality. The remaining 1 (5%) showed adequate image quality. Our preliminary computer system demonstrates the potential for a clinically useful automated subtraction system.
authors.affiliation: Department of Radiology, Showa General Hospital, Tokyo, Japan. takao-tky@umin.ac.jp
authors.forename: Hidemasa
authors.initials: H
authors.lastname: Takao
authors.forename: Ippei
authors.initials: I
authors.lastname: Doi
authors.forename: Toshiaki
authors.initials: T
authors.lastname: Watanabe
authors.forename: Madoka
authors.initials: M
authors.lastname: Tateno
mesh_terms: D006801:Humans; D021621:Imaging, Three-Dimensional; D008171:Lung Diseases / Q000000981:diagnostic imaging*; D011856:Radiographic Image Enhancement / Q000295:instrumentation*; D013902:Radiography, Thoracic; D013382:Subtraction Technique / Q000295:instrumentation*; D014057:Tomography, X-Ray Computed