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Proceedings Paper

Accurate joint space quantification in knee osteoarthritis: a digital x-ray tomosynthesis phantom study
Author(s): Tanzania S. Sewell; Kelly L. Piacsek; Beth A. Heckel; John M. Sabol
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Paper Abstract

The current imaging standard for diagnosis and monitoring of knee osteoarthritis (OA) is projection radiography. However radiographs may be insensitive to markers of early disease such as osteophytes and joint space narrowing (JSN). Relative to standard radiography, digital X-ray tomosynthesis (DTS) may provide improved visualization of the markers of knee OA without the interference of superimposed anatomy. DTS utilizes a series of low-dose projection images over an arc of ±20 degrees to reconstruct tomographic images parallel to the detector. We propose that DTS can increase accuracy and precision in JSN quantification. The geometric accuracy of DTS was characterized by quantifying joint space width (JSW) as a function of knee flexion and position using physical and anthropomorphic phantoms. Using a commercially available digital X-ray system, projection and DTS images were acquired for a Lucite rod phantom with known gaps at various source-object-distances, and angles of flexion. Gap width, representative of JSW, was measured using a validated algorithm. Over an object-to-detector-distance range of 5-21cm, a 3.0mm gap width was reproducibly measured in the DTS images, independent of magnification. A simulated 0.50mm (±0.13) JSN was quantified accurately (95% CI 0.44-0.56mm) in the DTS images. Angling the rods to represent knee flexion, the minimum gap could be precisely determined from the DTS images and was independent of flexion angle. JSN quantification using DTS was insensitive to distance from patient barrier and flexion angle. Potential exists for the optimization of DTS for accurate radiographic quantification of knee OA independent of patient positioning.

Paper Details

Date Published: 17 March 2011
PDF: 9 pages
Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 79615N (17 March 2011); doi: 10.1117/12.878768
Show Author Affiliations
Tanzania S. Sewell, Milwaukee School of Engineering (United States)
Kelly L. Piacsek, GE Healthcare (United States)
Beth A. Heckel, GE Healthcare (United States)
John M. Sabol, GE Healthcare (United States)


Published in SPIE Proceedings Vol. 7961:
Medical Imaging 2011: Physics of Medical Imaging
Norbert J. Pelc; Ehsan Samei; Robert M. Nishikawa, Editor(s)

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