Abstract
Medical imaging has come a long way since the first X-Ray pictures were taken in 1895 and X-Ray is still a primary image source for diagnosis and intra-operative guidance in today’s clinical setting. However, grayscale X-Ray images have some limitations, especially lacking proper depth cues visible to the clinician. In the area of psychology, color has been deemed as self-sufficient depth cues in the visual field. Thus, the focus of this work is integrating color directly in X-Ray in order to disambiguate the sequences of anatomy and hence provide intelligent depth cues for quicker X-Ray interpretation. To achieve this we register pre-operative CT data and X-Ray. A new transfer function is derived using depth and intensity for color emission. Results from a questionnaire to surgeons and medical imaging experts and Likert scale show a positive result of 4.4 average on a 5 scale. Furthermore, we assess the impact of misalignment of the pre-operative CT data and show that the color X-Ray image is very resilient to such errors.
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Aichert, A. et al. (2013). The Colored X-Rays. In: Linte, C.A., Chen, E.C.S., Berger, MO., Moore, J.T., Holmes, D.R. (eds) Augmented Environments for Computer-Assisted Interventions. AE-CAI 2012. Lecture Notes in Computer Science, vol 7815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38085-3_6
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DOI: https://doi.org/10.1007/978-3-642-38085-3_6
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