Skip to main content
Top
Published in: International Journal of Computer Assisted Radiology and Surgery 1/2014

01-01-2014 | Original Article

C-arm angle measurement with accelerometer for brachytherapy: an accuracy study

Authors: Thomas Wolff, Andras Lasso, Markus Eblenkamp, Erich Wintermantel, Gabor Fichtinger

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 1/2014

Login to get access

Abstract

Purpose

 X-ray fluoroscopy guidance is frequently used in medical interventions. Image-guided interventional procedures that employ localization for registration require accurate information about the C-arm’s rotation angle that provides the data externally in real time. Optical, electromagnetic, and image-based pose tracking systems have limited convenience and accuracy. An alternative method to recover C-arm orientation was developed using an accelerometer as tilt sensor.

Methods

    The fluoroscopic C-arm’s orientation was estimated using a tri-axial acceleration sensor mounted on the X-ray detector as a tilt sensor. When the C-arm is stationary, the measured acceleration direction corresponds to the gravitational force direction. The accelerometer was calibrated with respect to the C-arm’s rotation along its two axes, using a high-accuracy optical tracker as a reference. The scaling and offset error of the sensor was compensated using polynomial fitting. The system was evaluated on a GE OEC 9800 C-arm. Results obtained by accelerometer, built-in sensor, and image-based tracking were compared, using optical tracking as ground truth data.

Results

The accelerometer-based orientation measurement error for primary angle rotation was \(-0.1\pm 0.0^{\circ }\) and for secondary angle rotation it was \(0.1\pm 0.0^{\circ }\). The built-in sensor orientation measurement error for primary angle rotation was \(-0.1\pm 0.2^{\circ }\), and for secondary angle rotation it was \(0.1\pm 0.2^{\circ }\). The image-based orientation measurement error for primary angle rotation was \(-0.1\pm 1.3^{\circ }\), and for secondary angle rotation it was \(-1.3\pm 0.3^{\circ }\).

Conclusion

The accelerometer provided better results than the built-in sensor and image-based tracking. The accelerometer sensor is small, inexpensive, covers the full rotation range of the C-arm, does not require line of sight, and can be easily installed to any mobile X-ray machine. Therefore, accelerometer tilt sensing is a very promising applicant for orientation angle tracking of C-arm fluoroscopes.
Literature
1.
go back to reference Cleary K, Peters TM (2010) Image-guided interventions: technology review and clinical applications. Ann Rev Biomed Eng 12:119–142CrossRef Cleary K, Peters TM (2010) Image-guided interventions: technology review and clinical applications. Ann Rev Biomed Eng 12:119–142CrossRef
2.
go back to reference Wegner I, Teber D, Hadaschik B, Pahernik S, Hohenfellner M, Meinzer H-P, Huber J (2012) Pitfalls of electromagnetic tracking in clinical routine using multiple or adjacent sensors. Int J Med Robotics Comput Assist Surg. 4 Apr, 2012. doi:10.1002/rcs.1431 [Epub ahead of print] Wegner I, Teber D, Hadaschik B, Pahernik S, Hohenfellner M, Meinzer H-P, Huber J (2012) Pitfalls of electromagnetic tracking in clinical routine using multiple or adjacent sensors. Int J Med Robotics Comput Assist Surg. 4 Apr, 2012. doi:10.​1002/​rcs.​1431 [Epub ahead of print]
3.
go back to reference Jain AK, Mustafa T, Zhou Y, Burdette C, Chirikjian GS, Fichtinger G (2005) FTRAC—a robust fluoroscope tracking fiducial. Med Phys 32(10):3185–3198PubMedCrossRef Jain AK, Mustafa T, Zhou Y, Burdette C, Chirikjian GS, Fichtinger G (2005) FTRAC—a robust fluoroscope tracking fiducial. Med Phys 32(10):3185–3198PubMedCrossRef
4.
go back to reference Wallner K, Blasko JC, Dattoli M (2001) Prostate brachytherapy made complicated. SmartMedicine Press, Seattle Wallner K, Blasko JC, Dattoli M (2001) Prostate brachytherapy made complicated. SmartMedicine Press, Seattle
5.
go back to reference Dehghan E, Moradi M, Wen X, French D, Lobo J, Morris WJ, Salcudean SE, Fichtinger G (2011) Prostate implant reconstruction from C-arm images with motion-compensated tomosynthesis. Med. Phys. 38(10):5290–5302PubMedCrossRef Dehghan E, Moradi M, Wen X, French D, Lobo J, Morris WJ, Salcudean SE, Fichtinger G (2011) Prostate implant reconstruction from C-arm images with motion-compensated tomosynthesis. Med. Phys. 38(10):5290–5302PubMedCrossRef
6.
go back to reference Lee J, Labat C, Jain AK, Song DY, Burdette EC, Fichtinger G, Prince JL (2011) REDMAPS: reduced-dimensionality matching for prostate brachytherapy seed reconstruction. IEEE Trans Med Imaging 30:38–45PubMedCentralPubMedCrossRef Lee J, Labat C, Jain AK, Song DY, Burdette EC, Fichtinger G, Prince JL (2011) REDMAPS: reduced-dimensionality matching for prostate brachytherapy seed reconstruction. IEEE Trans Med Imaging 30:38–45PubMedCentralPubMedCrossRef
7.
go back to reference Grzeda V, Fichtinger G (2010) C-arm rotation encoding with accelerometers. Int J Comput Assist Radiol Surg 5(4):385–391PubMedCrossRef Grzeda V, Fichtinger G (2010) C-arm rotation encoding with accelerometers. Int J Comput Assist Radiol Surg 5(4):385–391PubMedCrossRef
8.
go back to reference Lasso A, Heffter T, Pinter C, Ungi T, Chen TK, Boucharin A, Fichtinger G (2001) PLUS: an open-source toolkit for developing ultrasound-guided intervention systems. In: Proceedings 4th NCIGT and NIH, Image Guided Therapy Workshop, Arlington, VA. 4, pp 103 Lasso A, Heffter T, Pinter C, Ungi T, Chen TK, Boucharin A, Fichtinger G (2001) PLUS: an open-source toolkit for developing ultrasound-guided intervention systems. In: Proceedings 4th NCIGT and NIH, Image Guided Therapy Workshop, Arlington, VA. 4, pp 103
9.
go back to reference Chintalapani G, Jain AK, Burkhardt DH, Prince JL, Fichtinger G (2008) CTREC: C-arm tracking and reconstruction using elliptic curves. In: IEEE computer society conference on computer vision and pattern recognition workshops, cvprw, pp 1–7 Chintalapani G, Jain AK, Burkhardt DH, Prince JL, Fichtinger G (2008) CTREC: C-arm tracking and reconstruction using elliptic curves. In: IEEE computer society conference on computer vision and pattern recognition workshops, cvprw, pp 1–7
10.
go back to reference Yao J, Taylor RH, Goldberg RP, Kumar R, Bzostek A, Van Vorhis R, Kazanzides P, Gueziec A (2000) A C-arm fluoroscopy-guided progressive cut refinement strategy using a surgical robot. Comput Aided Surg 5(6):373–390 Yao J, Taylor RH, Goldberg RP, Kumar R, Bzostek A, Van Vorhis R, Kazanzides P, Gueziec A (2000) A C-arm fluoroscopy-guided progressive cut refinement strategy using a surgical robot. Comput Aided Surg 5(6):373–390
Metadata
Title
C-arm angle measurement with accelerometer for brachytherapy: an accuracy study
Authors
Thomas Wolff
Andras Lasso
Markus Eblenkamp
Erich Wintermantel
Gabor Fichtinger
Publication date
01-01-2014
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 1/2014
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-013-0918-3

Other articles of this Issue 1/2014

International Journal of Computer Assisted Radiology and Surgery 1/2014 Go to the issue