Video-guided calibration of an augmented reality mobile C-arm
Author(s) -
Xin Chen,
Hemal Naik,
Lejing Wang,
Nassir Navab,
Pascal Fallavollita
Publication year - 2014
Publication title -
international journal of computer assisted radiology and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.701
H-Index - 49
eISSN - 1861-6429
pISSN - 1861-6410
DOI - 10.1007/s11548-014-0995-y
Subject(s) - computer science , calibration , computer vision , augmented reality , artificial intelligence , imaging phantom , homography , process (computing) , nuclear medicine , medicine , physics , mathematics , statistics , projective test , quantum mechanics , projective space , operating system
The augmented reality (AR) fluoroscope augments an X-ray image by video and provides the surgeon with a real-time in situ overlay of the anatomy. The overlay alignment is crucial for diagnostic and intra-operative guidance, so precise calibration of the AR fluoroscope is required. The first and most complex step of the calibration procedure is the determination of the X-ray source position. Currently, this is achieved using a biplane phantom with movable metallic rings on its top layer and fixed X-ray opaque markers on its bottom layer. The metallic rings must be moved to positions where at least two pairs of rings and markers are isocentric in the X-ray image. The current "trial and error" calibration process currently requires acquisition of many X-ray images, a task that is both time consuming and radiation intensive. An improved process was developed and tested for C-arm calibration.
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