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Proceedings Paper

Temporal subtraction of chest radiographs compensating pose differences
Author(s): Jens von Berg; Jalda Dworzak; Tobias Klinder; Dirk Manke; Adrian Kreth; Hans Lamecker; Stefan Zachow; Cristian Lorenz
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Paper Abstract

Temporal subtraction techniques using 2D image registration improve the detectability of interval changes from chest radiographs. Although such methods are well known for some time they are not widely used in radiologic practice. The reason is the occurrence of strong pose differences between two acquisitions with a time interval of months to years in between. Such strong perspective differences occur in a reasonable number of cases. They cannot be compensated by available image registration methods and thus mask interval changes to be undetectable. In this paper a method is proposed to estimate a 3D pose difference by the adaptation of a 3D rib cage model to both projections. The difference between both is then compensated for, thus producing a subtraction image with virtually no change in pose. The method generally assumes that no 3D image data is available from the patient. The accuracy of pose estimation is validated with chest phantom images acquired under controlled geometric conditions. A subtle interval change simulated by a piece of plastic foam attached to the phantom becomes visible in subtraction images generated with this technique even at strong angular pose differences like an anterior-posterior inclination of 13 degrees.

Paper Details

Date Published: 11 March 2011
PDF: 8 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79620U (11 March 2011); doi: 10.1117/12.877568
Show Author Affiliations
Jens von Berg, Philips Research Labs. (Germany)
Jalda Dworzak, Konrad-Zuse-Zentrum für Informationstechnik Berlin (Germany)
Tobias Klinder, Philips Research North America (United States)
Dirk Manke, Philips Healthcare (Germany)
Adrian Kreth, Leibniz Univ. Hannover (Germany)
Hans Lamecker, Konrad-Zuse-Zentrum für Informationstechnik Berlin (Germany)
Stefan Zachow, Konrad-Zuse-Zentrum für Informationstechnik Berlin (Germany)
Cristian Lorenz, Philips Research Labs. (Germany)


Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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