Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

P. Matthies, J. Gardiazabal, A. Okur, T. Lasser, N. Navab
Accuracy evaluation of interventional nuclear tomographic reconstruction using mini gamma cameras
The 7th Hamlyn Symposium on Medical Robotics, London, UK, July 2014 (bib)

Advanced 3D functional imaging modalities play a crucial role in today's healthcare. However, the scanners are very bulky, limiting their use in interventional scenarios. Using tracked radioactivity detectors, counts from distributed perspectives can be acquired and reconstructed using tomographic solution techniques. Hot spots can then be identified and localized interventionally. Using a mini gamma camera held by a robot arm, intra-operative SPECT-like reconstructions have been demonstrated. We use a high-resolution detection model of the mini gamma camera and conducted a series of experiments on a hot spot phantom. In this paper, we evaluate the reconstruction accuracy by repeated acquisitions and reconstructions. The localization error was very small in the views covering all three sides, but the selection of the poses has a great impact on the localization errors. The configurations including diagonal poses show that is also possible to improve the localization, even if not all sides are accessible, a common problem during many surgeries. The low standard deviation shows that our results are highly repeatable. In summary, this evaluation proves the feasibility of acquiring interventional SPECT images with a constant image quality.
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