TY - GEN
T1 - The colored x-rays
AU - Aichert, André
AU - Wieczorek, Matthias
AU - Wang, Jian
AU - Kreiser, Matthias
AU - Wang, Lejing
AU - Fallavollita, Pascal
AU - Navab, Nassir
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84885728837&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-38085-3_6
DO - 10.1007/978-3-642-38085-3_6
M3 - Conference contribution
AN - SCOPUS:84885728837
SN - 9783642380846
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 45
EP - 54
BT - Augmented Environments for Computer-Assisted Interventions - 7th International Workshop, AE-CAI 2012, Held in Conjunction with MICCAI 2012, Revised Selected Papers
T2 - 7th International Workshop on Augmented Environments for Computer-Assisted Interventions, AE-CAI 2012, Held in Conjunction with MICCAI 2012
Y2 - 5 October 2013 through 5 October 2013
ER -