X-ray cone-beam imaging of the entire spine in the weight-bearing position

F. Noo; A. Fieselmann; M. B. Oktay; M. Herbst; L. Ritschl; S. Vogt; T. Mertelmeier

doi:10.1117/12.2293579

9 March 2018 X-ray cone-beam imaging of the entire spine in the weight-bearing position

F. Noo, A. Fieselmann, M. B. Oktay, M. Herbst, L. Ritschl, S. Vogt, T. Mertelmeier

Proceedings Volume 10573, Medical Imaging 2018: Physics of Medical Imaging; 105730S (2018) https://doi.org/10.1117/12.2293579
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

X-ray cone-beam (CB) imaging is moving towards playing a large role in diagnostic radiology. Recently, an innovative, versatile X-ray system (Multitom Rax, Siemens Healthcare, GmbH, Forchheim, Germany) was introduced for diagnostic radiology. This system enables taking X-ray radiographs with high flexibility in patient positioning, as well as acquiring semi-circular short CB scans in a variety of orientations. We show here that this system can be further programmed to accurately scan the entire spine in the weight-bearing position. Such a diagnostic imaging capability has never been demonstrated so far. However, we may expect it to play an important clinical role as clinicians agree that spine diseases would be more accurately interpretable in the weight-bearing position. We implemented a geometry that provides complete data so that CB artifacts may be avoided. This geometry consists of two circular arcs connected by a line segment. We assessed immediate and short-term motion reproducibility, as well as ability to image the entire spine within a Rando phantom. Strongly encouraging results were obtained. Reproducibility with sub-mm accuracy was observed and the entire spine was accurately reconstructed.

Conference Presentation

Citation Download Citation

F. Noo, A. Fieselmann, M. B. Oktay, M. Herbst, L. Ritschl, S. Vogt, and T. Mertelmeier "X-ray cone-beam imaging of the entire spine in the weight-bearing position", Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105730S (9 March 2018); https://doi.org/10.1117/12.2293579

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