Share Email Print
cover

Proceedings Paper

Optical geometry calibration method for free-form digital tomosynthesis
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Digital tomosynthesis is a type of limited angle tomography that allows 3D information to be reconstructed from a set of x-ray projection images taken at various angles using an x-ray tube, a mechanical arm to rotate the tube about the object, and a digital detector. Tomosynthesis reconstruction requires the precise location of the detector with respect to each x-ray source, forcing all current clinical tomosynthesis systems to use a physically coupled source and detector so the geometry is always known and is always the same. This limits the imaging geometries and its large size is impractical for mobile or field operations. To counter this, we have developed a free form tomosynthesis with a decoupled, free-moving source and detector that uses a novel optical method for accurate and real-time geometry calibration to allow for manual, hand-held tomosynthesis and even CT imaging. We accomplish this by using a camera, attached to the source, to track the motion of the source relative to the detector. Attached to the detector is an optical pattern and the image captured by the camera is then used to determine the relative camera/pattern position and orientation by analyzing the pattern distortion and calculating the source positions for each projection, necessary for 3D reconstruction. This allows for portable imaging in the field and also as an inexpensive upgrade to existing 2D systems, such as in developing countries, to provide 3D image data. Here we report the first feasibility demonstrations of free form digital tomosynthesis systems using the method.

Paper Details

Date Published: 22 March 2016
PDF: 12 pages
Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 978365 (22 March 2016); doi: 10.1117/12.2216851
Show Author Affiliations
Pavel Chtcheprov, The Univ. of North Carolina at Chapel Hill (United States)
Allison Hartman, The Univ. of North Carolina at Chapel Hill (United States)
Jing Shan, The Univ. of North Carolina at Chapel Hill (United States)
Yueh Z. Lee, The Univ. of North Carolina at Chapel Hill (United States)
UNC Lineberger Comprehensive Cancer Ctr. (United States)
Otto Zhou, The Univ. of North Carolina at Chapel Hill (United States)
UNC Lineberger Comprehensive Cancer Ctr. (United States)
Jianping Lu, The Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 9783:
Medical Imaging 2016: Physics of Medical Imaging
Despina Kontos; Thomas G. Flohr, Editor(s)

© SPIE. Terms of Use
Back to Top