Skip to main content
Top
Published in: International Journal of Computer Assisted Radiology and Surgery 1/2018

Open Access 01-01-2018 | Original Article

Using needle orientation sensing as surrogate signal for respiratory motion estimation in percutaneous interventions

Authors: Momen Abayazid, Takahisa Kato, Stuart G. Silverman, Nobuhiko Hata

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 1/2018

Login to get access

Abstract

Purpose

To develop and evaluate an approach to estimate the respiratory-induced motion of lesions in the chest and abdomen.

Materials and methods

The proposed approach uses the motion of an initial reference needle inserted into a moving organ to estimate the lesion (target) displacement that is caused by respiration. The needles position is measured using an inertial measurement unit (IMU) sensor externally attached to the hub of an initially placed reference needle. Data obtained from the IMU sensor and the target motion are used to train a learning-based approach to estimate the position of the moving target. An experimental platform was designed to mimic respiratory motion of the liver. Liver motion profiles of human subjects provided inputs to the experimental platform. Variables including the insertion angle, target depth, target motion velocity and target proximity to the reference needle were evaluated by measuring the error of the estimated target position and processing time.

Results

The mean error of estimation of the target position ranged between 0.86 and 1.29 mm. The processing maximum training and testing time was 5 ms which is suitable for real-time target motion estimation using the needle position sensor.

Conclusion

The external motion of an initially placed reference needle inserted into a moving organ can be used as a surrogate, measurable and accessible signal to estimate in real-time the position of a moving target caused by respiration; this technique could then be used to guide the placement of subsequently inserted needles directly into the target.
Literature
1.
go back to reference Abolhassani N, Patel R, Moallem M (2007) Needle insertion into soft tissue: a survey. Med Eng Phys 29(4):413–431CrossRefPubMed Abolhassani N, Patel R, Moallem M (2007) Needle insertion into soft tissue: a survey. Med Eng Phys 29(4):413–431CrossRefPubMed
2.
go back to reference Al-Knawy B, Shiffman M (2007) Percutaneous liver biopsy in clinical practice. Liver Int 27(9):1166–1173CrossRefPubMed Al-Knawy B, Shiffman M (2007) Percutaneous liver biopsy in clinical practice. Liver Int 27(9):1166–1173CrossRefPubMed
3.
go back to reference Alterovitz R, Pouliot J, Taschereau R, Hsu ICJ, Goldberg K (2003) Simulating needle insertion and radioactive seed implantation for prostate brachytherapy. In: Westwood JD, Hoffman HM, Mogel GT, Phillips R, Robb RA, Stredney D (eds) Studies in health technology and informatics, vol 94. IOS Press, pp 19–25. Alterovitz R, Pouliot J, Taschereau R, Hsu ICJ, Goldberg K (2003) Simulating needle insertion and radioactive seed implantation for prostate brachytherapy. In: Westwood JD, Hoffman HM, Mogel GT, Phillips R, Robb RA, Stredney D (eds) Studies in health technology and informatics, vol 94. IOS Press, pp 19–25.
4.
go back to reference Balter JM, Wright JN, Newell LJ, Friemel B, Dimmer S, Cheng Y, Wong J, Vertatschitsch E, Mate TP (2005) Accuracy of a wireless localization system for radiotherapy. Int J Radiat Oncol Biol Phys 61(3):933–937CrossRefPubMed Balter JM, Wright JN, Newell LJ, Friemel B, Dimmer S, Cheng Y, Wong J, Vertatschitsch E, Mate TP (2005) Accuracy of a wireless localization system for radiotherapy. Int J Radiat Oncol Biol Phys 61(3):933–937CrossRefPubMed
5.
go back to reference Bell MAL, Byram BC, Harris EJ, Evans PM, Bamber JC (2012) In vivo liver tracking with a high volume rate 4d ultrasound scanner and a 2d matrix array probe. Phys Med Biol 57(5):1359CrossRefPubMed Bell MAL, Byram BC, Harris EJ, Evans PM, Bamber JC (2012) In vivo liver tracking with a high volume rate 4d ultrasound scanner and a 2d matrix array probe. Phys Med Biol 57(5):1359CrossRefPubMed
6.
go back to reference Borgert J, Kruger S, Timinger H, Krucker J, Glossop N, Durrani A, Viswanathan A, Wood BJ (2006) Respiratory motion compensation with tracked internal and external sensors during ct-guided procedures. Comput Aided Surg 11(3):119–125CrossRefPubMedPubMedCentral Borgert J, Kruger S, Timinger H, Krucker J, Glossop N, Durrani A, Viswanathan A, Wood BJ (2006) Respiratory motion compensation with tracked internal and external sensors during ct-guided procedures. Comput Aided Surg 11(3):119–125CrossRefPubMedPubMedCentral
7.
go back to reference Bricault I, Dimaio S, Clatz O, Pujol S, Vosburgh K, Kikinis R (2005) Computer-assisted interventions on liver: feasibility of the anchor needle technique for real-time targeting of lesions with respiratory motion. In: Surgetica. Chambéry, France. https://hal.inria.fr/inria-00616014 Bricault I, Dimaio S, Clatz O, Pujol S, Vosburgh K, Kikinis R (2005) Computer-assisted interventions on liver: feasibility of the anchor needle technique for real-time targeting of lesions with respiratory motion. In: Surgetica. Chambéry, France. https://​hal.​inria.​fr/​inria-00616014
8.
go back to reference Carlson SK, Felmlee JP, Bender CE, Ehman RL, Classic KL, Hu HH, Hoskin TL (2003) Intermittent-mode ct fluoroscopy-guided biopsy of the lung or upper abdomen with breath-hold monitoring and feedback: system development and feasibility. Radiology 229(3):906–912CrossRefPubMed Carlson SK, Felmlee JP, Bender CE, Ehman RL, Classic KL, Hu HH, Hoskin TL (2003) Intermittent-mode ct fluoroscopy-guided biopsy of the lung or upper abdomen with breath-hold monitoring and feedback: system development and feasibility. Radiology 229(3):906–912CrossRefPubMed
9.
go back to reference Chen B, Weber N, Odille F, Large-Dessale C, Delmas A, Bonnemains L, Felblinger J (2017) Design and validation of a novel mr-compatible sensor for respiratory motion modeling and correction. IEEE Trans Biomed Eng 64(1):123–133. doi:10.1109/TBME.2016.2549272 CrossRefPubMed Chen B, Weber N, Odille F, Large-Dessale C, Delmas A, Bonnemains L, Felblinger J (2017) Design and validation of a novel mr-compatible sensor for respiratory motion modeling and correction. IEEE Trans Biomed Eng 64(1):123–133. doi:10.​1109/​TBME.​2016.​2549272 CrossRefPubMed
10.
go back to reference Cleary KR, Banovac F, Levy E, Tanaka D (2002) Development of a liver respiratory motion simulator to investigate magnetic tracking for abdominal interventions. In: Proc. SPIE 4681, medical imaging 2002: visualization, image-guided procedures, and display, 25 (May 16, 2002). doi:10.1117/12.466934 Cleary KR, Banovac F, Levy E, Tanaka D (2002) Development of a liver respiratory motion simulator to investigate magnetic tracking for abdominal interventions. In: Proc. SPIE 4681, medical imaging 2002: visualization, image-guided procedures, and display, 25 (May 16, 2002). doi:10.​1117/​12.​466934
11.
go back to reference Clifford MA, Banovac F, Levy E, Cleary K (2002) Assessment of hepatic motion secondary to respiration for computer assisted interventions. Comput Aided Surg 7(5):291–299CrossRefPubMed Clifford MA, Banovac F, Levy E, Cleary K (2002) Assessment of hepatic motion secondary to respiration for computer assisted interventions. Comput Aided Surg 7(5):291–299CrossRefPubMed
12.
go back to reference Davis J, Hsieh YH, Lee H.C (2015) Humans perceive flicker artifacts at 500 hz. Sci Rep (Nat) 5(7861):1–4 Davis J, Hsieh YH, Lee H.C (2015) Humans perceive flicker artifacts at 500 hz. Sci Rep (Nat) 5(7861):1–4
13.
go back to reference Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin JC, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward SR, Miller JV, Pieper S, Kikinis R (2012) 3d slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging 30:1323–1341CrossRefPubMedPubMedCentral Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin JC, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward SR, Miller JV, Pieper S, Kikinis R (2012) 3d slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging 30:1323–1341CrossRefPubMedPubMedCentral
14.
go back to reference Geneser SE, Hinkle JD, Kirby RM, Wang B, Salter B, Joshi S (2011) Quantifying variability in radiation dose due to respiratory-induced tumor motion. Med Image Anal 15(4):640–649 (Special section on IPMI 2009) CrossRefPubMed Geneser SE, Hinkle JD, Kirby RM, Wang B, Salter B, Joshi S (2011) Quantifying variability in radiation dose due to respiratory-induced tumor motion. Med Image Anal 15(4):640–649 (Special section on IPMI 2009) CrossRefPubMed
15.
go back to reference Hoisak JDP, Sixel KE, Tirona R, Cheung PCF, Pignol JP (2004) Correlation of lung tumor motion with external surrogate indicators of respiration. Int J Radiat Oncol Biol Phys 60(4):1298–1306CrossRefPubMed Hoisak JDP, Sixel KE, Tirona R, Cheung PCF, Pignol JP (2004) Correlation of lung tumor motion with external surrogate indicators of respiration. Int J Radiat Oncol Biol Phys 60(4):1298–1306CrossRefPubMed
16.
go back to reference Keall PJ, Mageras GS, Balter JM, Emery RS, Forster KM, Jiang SB, Kapatoes JM, Low DA, Murphy MJ, Murray BR, Ramsey CR, Van Herk MB, Vedam SS, Wong JW, Yorke E (2006) The management of respiratory motion in radiation oncology report of AAPM task group 76. Med Phys 33(10):3874–3900CrossRefPubMed Keall PJ, Mageras GS, Balter JM, Emery RS, Forster KM, Jiang SB, Kapatoes JM, Low DA, Murphy MJ, Murray BR, Ramsey CR, Van Herk MB, Vedam SS, Wong JW, Yorke E (2006) The management of respiratory motion in radiation oncology report of AAPM task group 76. Med Phys 33(10):3874–3900CrossRefPubMed
17.
go back to reference Klinder T, Lorenz C (2012) Respiratory motion compensation for image-guided bronchoscopy using a general motion model. In: IEEE international symposium on biomedical imaging (ISBI). Barcelona, Spain, pp 960–963 Klinder T, Lorenz C (2012) Respiratory motion compensation for image-guided bronchoscopy using a general motion model. In: IEEE international symposium on biomedical imaging (ISBI). Barcelona, Spain, pp 960–963
19.
go back to reference Lal H, Neyaz Z, Nath A, Borah S (2011) Ct-guided percutaneous biopsy of intrathoracic lesions. Korean J Radiol 13(2):210–226CrossRef Lal H, Neyaz Z, Nath A, Borah S (2011) Ct-guided percutaneous biopsy of intrathoracic lesions. Korean J Radiol 13(2):210–226CrossRef
20.
go back to reference Lei P, Moeslein F, Wood BJ, Shekhar R (2011) Real-time tracking of liver motion and deformation using a flexible needle. Int J Comput Assist Radiol Surg 6(3):435–446CrossRefPubMed Lei P, Moeslein F, Wood BJ, Shekhar R (2011) Real-time tracking of liver motion and deformation using a flexible needle. Int J Comput Assist Radiol Surg 6(3):435–446CrossRefPubMed
21.
go back to reference Low DA, Parikh PJ, Lu W, Dempsey JF, Wahab SH, Hubenschmidt JP, Nystrom MM, Handoko M, Bradley JD (2005) Novel breathing motion model for radiotherapy. Int J Radiat Oncol Biol Phys 63(3):921–929CrossRefPubMed Low DA, Parikh PJ, Lu W, Dempsey JF, Wahab SH, Hubenschmidt JP, Nystrom MM, Handoko M, Bradley JD (2005) Novel breathing motion model for radiotherapy. Int J Radiat Oncol Biol Phys 63(3):921–929CrossRefPubMed
22.
go back to reference Low DA, Zhao T, White B, Yang D, Mutic S, Noel CE, Bradley JD, Parikh PJ, Lu W (2010) Application of the continuity equation to a breathing motion model. Med Phys 37(3):1360–1364CrossRefPubMedPubMedCentral Low DA, Zhao T, White B, Yang D, Mutic S, Noel CE, Bradley JD, Parikh PJ, Lu W (2010) Application of the continuity equation to a breathing motion model. Med Phys 37(3):1360–1364CrossRefPubMedPubMedCentral
23.
go back to reference Lu W, Low DA, Parikh PJ, Nystrom MM, El-Naqa IM, Wahab SH, Handoko M, Fooshee D, Bradley JD (2005) Comparison of spirometry and abdominal height as four-dimensional computed tomography metrics in lung. Med Phys 32(7):2351–2357CrossRef Lu W, Low DA, Parikh PJ, Nystrom MM, El-Naqa IM, Wahab SH, Handoko M, Fooshee D, Bradley JD (2005) Comparison of spirometry and abdominal height as four-dimensional computed tomography metrics in lung. Med Phys 32(7):2351–2357CrossRef
24.
go back to reference McCarley JR, Soulen MC (2010) Percutaneous ablation of hepatic tumors. Semin Interv Radiol 27(3):255–260CrossRef McCarley JR, Soulen MC (2010) Percutaneous ablation of hepatic tumors. Semin Interv Radiol 27(3):255–260CrossRef
25.
go back to reference McClelland JR (2013) Estimating internal respiratory motion from respiratory surrogate signals using correspondence models, chap. 9. Springer, Berlin, pp 187–213 McClelland JR (2013) Estimating internal respiratory motion from respiratory surrogate signals using correspondence models, chap. 9. Springer, Berlin, pp 187–213
26.
go back to reference McClelland JR, Hawkes DJ, Schaeffter T, King AP (2013) Respiratory motion models: a review. Med Image Anal 17(1):19–42CrossRefPubMed McClelland JR, Hawkes DJ, Schaeffter T, King AP (2013) Respiratory motion models: a review. Med Image Anal 17(1):19–42CrossRefPubMed
27.
go back to reference Nehmeh SA, Erdi YE (2008) Respiratory motion in positron emission tomography/computed tomography: a review. Semin Nucl Med 38(3):167–176 Developments in InstrumentationCrossRefPubMed Nehmeh SA, Erdi YE (2008) Respiratory motion in positron emission tomography/computed tomography: a review. Semin Nucl Med 38(3):167–176 Developments in InstrumentationCrossRefPubMed
29.
go back to reference Sainani NI, Arellano RS, Shyn PB, Gervais DA, Mueller PR, Silverman SG (2013) The challenging image-guided abdominal mass biopsy: established and emerging techniques ’if you can see it, you can biopsy it’. Abdom Imaging 38(4):672–696CrossRefPubMed Sainani NI, Arellano RS, Shyn PB, Gervais DA, Mueller PR, Silverman SG (2013) The challenging image-guided abdominal mass biopsy: established and emerging techniques ’if you can see it, you can biopsy it’. Abdom Imaging 38(4):672–696CrossRefPubMed
30.
go back to reference Santelli C, Nezafat R, Goddu B, Manning WJ, Smink J, Kozerke S, Peters DC (2010) Respiratory bellows revisited for motion compensation: preliminary experience for cardiovascular mr. Magn Reson Med 65(4):1097–1102CrossRefPubMedPubMedCentral Santelli C, Nezafat R, Goddu B, Manning WJ, Smink J, Kozerke S, Peters DC (2010) Respiratory bellows revisited for motion compensation: preliminary experience for cardiovascular mr. Magn Reson Med 65(4):1097–1102CrossRefPubMedPubMedCentral
31.
go back to reference Scott AD, Keegan J, Firmin DN (2009) Motion in cardiovascular mr imaging. Radiology 250(2):331–351CrossRefPubMed Scott AD, Keegan J, Firmin DN (2009) Motion in cardiovascular mr imaging. Radiology 250(2):331–351CrossRefPubMed
32.
go back to reference Seiler PG, Blattmann H, Kirsch S, Muench RK, Schilling C (2000) A novel tracking technique for the continuous precise measurement of tumour positions in conformal radiotherapy. Phys Med Biol 45(9):N103CrossRefPubMed Seiler PG, Blattmann H, Kirsch S, Muench RK, Schilling C (2000) A novel tracking technique for the continuous precise measurement of tumour positions in conformal radiotherapy. Phys Med Biol 45(9):N103CrossRefPubMed
33.
go back to reference Shimizu S, Shirato H, Aoyama H, Hashimoto S, Nishioka T, Yamazaki A, Kagei K, Miyasaka K (2000) High-speed magnetic resonance imaging for four-dimensional treatment planning of conformal radiotherapy of moving body tumors1. Int J Radiat Oncol Biol Phys 48(2):471–474CrossRefPubMed Shimizu S, Shirato H, Aoyama H, Hashimoto S, Nishioka T, Yamazaki A, Kagei K, Miyasaka K (2000) High-speed magnetic resonance imaging for four-dimensional treatment planning of conformal radiotherapy of moving body tumors1. Int J Radiat Oncol Biol Phys 48(2):471–474CrossRefPubMed
34.
go back to reference Silverman SG, Tuncali K, Adams DF, Nawfel RD, Zou KH, Judy PF (1999) Ct fluoroscopy-guided abdominal interventions: techniques, results, and radiation exposure. Radiology 212(3):673–681CrossRefPubMed Silverman SG, Tuncali K, Adams DF, Nawfel RD, Zou KH, Judy PF (1999) Ct fluoroscopy-guided abdominal interventions: techniques, results, and radiation exposure. Radiology 212(3):673–681CrossRefPubMed
35.
go back to reference Tsoumakas G, Katakis I, Vlahavas I (2011) Random k-labelsets for multilabel classification. IEEE Trans Knowl Data Eng 23(7):1079–1089 Tsoumakas G, Katakis I, Vlahavas I (2011) Random k-labelsets for multilabel classification. IEEE Trans Knowl Data Eng 23(7):1079–1089
36.
go back to reference Tsoumakas G, Vlahavas I (2007) Random k-labelsets: an ensemble method for multilabel classification. In: Proceedings of the European conference on machine learning (ECML), vol 4701. Warsaw, Poland, pp 406–417 Tsoumakas G, Vlahavas I (2007) Random k-labelsets: an ensemble method for multilabel classification. In: Proceedings of the European conference on machine learning (ECML), vol 4701. Warsaw, Poland, pp 406–417
37.
go back to reference Wong KH, Tang J, Zhang HJ, Varghese E, Cleary KR (2005) Prediction of 3d internal organ position from skin surface motion: results from electromagnetic tracking studies. In: Galloway Jr RL, Cleary KR (eds) Proceedings of the SPIE, the International Society for Optical Engineering, medical imaging: visualization, image-guided procedures, and display, vol 5744, pp 879-887 Wong KH, Tang J, Zhang HJ, Varghese E, Cleary KR (2005) Prediction of 3d internal organ position from skin surface motion: results from electromagnetic tracking studies. In: Galloway Jr RL, Cleary KR (eds) Proceedings of the SPIE, the International Society for Optical Engineering, medical imaging: visualization, image-guided procedures, and display, vol 5744, pp 879-887
38.
go back to reference Yang D, Lu W, Low DA, Deasy JO, Hope AJ, El-Naqa I (2008) 4d-ct motion estimation using deformable image registration and 5d respiratory motion modeling. Med Phys 35(10):4577–4590CrossRefPubMedPubMedCentral Yang D, Lu W, Low DA, Deasy JO, Hope AJ, El-Naqa I (2008) 4d-ct motion estimation using deformable image registration and 5d respiratory motion modeling. Med Phys 35(10):4577–4590CrossRefPubMedPubMedCentral
39.
go back to reference Zhou Y, Thiruvalluvan K, Krzeminski L, Moore WH, Xu Z, Liang Z (2013) Ct-guided robotic needle biopsy of lung nodules with respiratory motion experimental system and preliminary test. Int J Med Robot Comput Assist Surg 9(3):317–330CrossRef Zhou Y, Thiruvalluvan K, Krzeminski L, Moore WH, Xu Z, Liang Z (2013) Ct-guided robotic needle biopsy of lung nodules with respiratory motion experimental system and preliminary test. Int J Med Robot Comput Assist Surg 9(3):317–330CrossRef
Metadata
Title
Using needle orientation sensing as surrogate signal for respiratory motion estimation in percutaneous interventions
Authors
Momen Abayazid
Takahisa Kato
Stuart G. Silverman
Nobuhiko Hata
Publication date
01-01-2018
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 1/2018
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-017-1644-z

Other articles of this Issue 1/2018

International Journal of Computer Assisted Radiology and Surgery 1/2018 Go to the issue