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Erschienen in: International Journal of Computer Assisted Radiology and Surgery 2/2018

31.08.2017 | Original Article

A method for going from 2D laparoscope to 3D acquisition of surface landmarks by a novel computer vision approach

verfasst von: Marc Garbey, Toan B. Nguyen, Albert Y. Huang, Vid Fikfak, Brian J. Dunkin

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 2/2018

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Abstract

Purpose

This paper presents a method to use the Smart Trocars—our new surgical instrument recognition system—or any accurate localization system of surgical instrument for acquiring intraoperative surface data. Complex laparoscopic surgeries need a proper guidance system which requires registering the preoperative data from a CT or MRI scan to the intraoperative patient state. The Smart Trocar can be used to localize the instruments when it comes to contact with the soft tissue surface.

Method

Two successive views through the laparoscope at different angles with the 3D localization of a fixed tool at one single location using the Smart Trocars can point out visible features during the surgery and acquire their location in 3D to provide a depth map in the region of interest. In other words, our method transforms a standard laparoscope system into a system with three-dimensional registration capability.

Result

This method was initially tested on a simulation for uncertainty assessment and then on a rigid model for verification with an accuracy within 2 mm distance. In addition, an in vivo experiment on pig model was also conducted to investigate how the method might be used during a physiologic respiratory cycle.

Conclusion

This method can be applied in a large number of surgical applications as a guidance system on its own or in conjunction with other navigation techniques. Our work encourages further testing with realistic surgical applications in the near future.
Literatur
1.
Zurück zum Zitat Miga MI, Dumpurib P, Simpsona A, Weisa J, Jarnaginc W (2012) Model-assisted image-guided liver surgery using sparse intraoperative data. In: Payan Y (ed) Soft tissue biomechanical modeling for computer assisted surgery. Springer, New York, pp 7–40 Miga MI, Dumpurib P, Simpsona A, Weisa J, Jarnaginc W (2012) Model-assisted image-guided liver surgery using sparse intraoperative data. In: Payan Y (ed) Soft tissue biomechanical modeling for computer assisted surgery. Springer, New York, pp 7–40
2.
Zurück zum Zitat Haouchine N, Dequidt J, Peterlik I, Kerrien E, Berger MO, Cotin S (2013) Image-guided simulation of heterogeneous tissue deformation for augmented reality during hepatic surgery. In: ISMAR—IEEE international symposium on mixed and augmented reality Haouchine N, Dequidt J, Peterlik I, Kerrien E, Berger MO, Cotin S (2013) Image-guided simulation of heterogeneous tissue deformation for augmented reality during hepatic surgery. In: ISMAR—IEEE international symposium on mixed and augmented reality
3.
Zurück zum Zitat Wu Y, Rucker DC, Conley RH, Pheiffer TS, Simpson AL, Geeverghese SK, Miga MI (2014) Registration of liver images to minimally invasive intraoperative surface and subsurface data. SPIE Med Imaging Image-Guided Proced Robot Interven Model. doi:10.1117/12.2044250 Wu Y, Rucker DC, Conley RH, Pheiffer TS, Simpson AL, Geeverghese SK, Miga MI (2014) Registration of liver images to minimally invasive intraoperative surface and subsurface data. SPIE Med Imaging Image-Guided Proced Robot Interven Model. doi:10.​1117/​12.​2044250
4.
Zurück zum Zitat Nguyen T, Huang A, Fikfak V, Dunkin B, Garbey M (2016) Image-guided simulation of tissue deformation using a mechanical model on a surgical application. Comput Methods Biomech Biomed Eng 20(2):206–214CrossRef Nguyen T, Huang A, Fikfak V, Dunkin B, Garbey M (2016) Image-guided simulation of tissue deformation using a mechanical model on a surgical application. Comput Methods Biomech Biomed Eng 20(2):206–214CrossRef
5.
Zurück zum Zitat Ma B, Ellis RE (2003) Robust registration for computer-integrated orthopedic surgery: laboratory validation and clinical experience. Med Image Anal 7(3):237–250CrossRefPubMed Ma B, Ellis RE (2003) Robust registration for computer-integrated orthopedic surgery: laboratory validation and clinical experience. Med Image Anal 7(3):237–250CrossRefPubMed
6.
Zurück zum Zitat Clements W, Chapman WC, Dawant BM, Galloway RL, Miga MI (2008) Robust surface registration using salient anatomical features for image-guided liver surgery: algorithm and validation. Med Phys 35(6):2528–2540CrossRefPubMedPubMedCentral Clements W, Chapman WC, Dawant BM, Galloway RL, Miga MI (2008) Robust surface registration using salient anatomical features for image-guided liver surgery: algorithm and validation. Med Phys 35(6):2528–2540CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Strobl KH, Mair E, Bodenmüller T, Kielhöfer S, Sepp W, Suppa M, Burschka D, Hirzinger G (2009) The self-referenced DLR 3D-modeler. In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems (IROS 2009), St. Louis, pp 21–28 Strobl KH, Mair E, Bodenmüller T, Kielhöfer S, Sepp W, Suppa M, Burschka D, Hirzinger G (2009) The self-referenced DLR 3D-modeler. In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems (IROS 2009), St. Louis, pp 21–28
8.
Zurück zum Zitat Rauth TP, Bao PQ, Galloway RL, Bieszczad J, Friets EM, Knaus DA, Kynor DB, Herline AJ (2007) Laparoscopic surface scanning and subsurface targeting: implications for image-guided laparoscopic liver surgery. Surgery 142(2):207–14CrossRefPubMed Rauth TP, Bao PQ, Galloway RL, Bieszczad J, Friets EM, Knaus DA, Kynor DB, Herline AJ (2007) Laparoscopic surface scanning and subsurface targeting: implications for image-guided laparoscopic liver surgery. Surgery 142(2):207–14CrossRefPubMed
9.
Zurück zum Zitat Maier-Hein L, Groch A, Bartoli A, Bodenstedt S, Boissonnat G, Chang PL, Clancy NT, Elson DS, Haase S, Heim E, Hornegger J, Jannin P, Kenngott H, Kilgus T, Müller-Stich B, Oladokun D, Röhl S, Dos Santos TR, Schlemmer HP, Seitel A, Speidel S, Wagner M, Stoyanov D (2014) Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction. IEEE Trans Med Imaging 33(10):1913–30CrossRefPubMed Maier-Hein L, Groch A, Bartoli A, Bodenstedt S, Boissonnat G, Chang PL, Clancy NT, Elson DS, Haase S, Heim E, Hornegger J, Jannin P, Kenngott H, Kilgus T, Müller-Stich B, Oladokun D, Röhl S, Dos Santos TR, Schlemmer HP, Seitel A, Speidel S, Wagner M, Stoyanov D (2014) Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction. IEEE Trans Med Imaging 33(10):1913–30CrossRefPubMed
11.
Zurück zum Zitat Lathrop RA, Hackworth DM, Webster RJ (2010) Minimally invasive holographic surface scanning for soft-tissue image registration. IEEE Trans Biomed Eng 57(6):1497–1506CrossRefPubMedPubMedCentral Lathrop RA, Hackworth DM, Webster RJ (2010) Minimally invasive holographic surface scanning for soft-tissue image registration. IEEE Trans Biomed Eng 57(6):1497–1506CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Fofi D, Sliwa T, Voisin Y (2004) A comparative survey on invisible structured light. In: Proceedings of SPIE, vol 5303, pp 90–97 Fofi D, Sliwa T, Voisin Y (2004) A comparative survey on invisible structured light. In: Proceedings of SPIE, vol 5303, pp 90–97
13.
Zurück zum Zitat Hostettler A, Nicolau SA, Remond Y, Marescaux J, Soler L (2010) A real-time predictive simulation of abdominal viscera positions during quiet free breathing. Prog Biophys Mol Biol 103:169–184CrossRefPubMed Hostettler A, Nicolau SA, Remond Y, Marescaux J, Soler L (2010) A real-time predictive simulation of abdominal viscera positions during quiet free breathing. Prog Biophys Mol Biol 103:169–184CrossRefPubMed
14.
Zurück zum Zitat Maier-Hein L, Mountney P, Bartoli A, Elhawary H, Elson D, Groch A, Kolb A, Rodrigues M, Sorger J, Speidel S, Stoyanov D (2013) Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery. Med Image Anal 17:974–996CrossRefPubMed Maier-Hein L, Mountney P, Bartoli A, Elhawary H, Elson D, Groch A, Kolb A, Rodrigues M, Sorger J, Speidel S, Stoyanov D (2013) Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery. Med Image Anal 17:974–996CrossRefPubMed
15.
Zurück zum Zitat Mountney P, Yang GZ (2010) Motion compensated SLAM for image guided surgery. Med Image Comput Comput Assist Interv 13(Pt 2):496–504PubMed Mountney P, Yang GZ (2010) Motion compensated SLAM for image guided surgery. Med Image Comput Comput Assist Interv 13(Pt 2):496–504PubMed
16.
Zurück zum Zitat Raabe A, Krishnan R, Wolff R, Hermann E, Zimmermann M, Seifert V (2002) Laser surface scanning for patient registration in intracranial image-guided surgery. Neurosurgery 50(4):797–801CrossRefPubMed Raabe A, Krishnan R, Wolff R, Hermann E, Zimmermann M, Seifert V (2002) Laser surface scanning for patient registration in intracranial image-guided surgery. Neurosurgery 50(4):797–801CrossRefPubMed
17.
Zurück zum Zitat Edgcumbe P, Nguan C, Rohling R (2013) Calibration and stereo tracking of a laparoscopic ultrasound transducer for augmented reality in surgery. In: Augmented reality environments for medical imaging and computer-assisted interventions, lecture notes in computer science, pp 258–267 Edgcumbe P, Nguan C, Rohling R (2013) Calibration and stereo tracking of a laparoscopic ultrasound transducer for augmented reality in surgery. In: Augmented reality environments for medical imaging and computer-assisted interventions, lecture notes in computer science, pp 258–267
18.
Zurück zum Zitat Toti G, Garbey M, Sherman V, Dunkin B, Bass B (2015) Smart trocar for automatic tool recognition in laparoscopic intervention. SURG INNOV 22:77–82CrossRefPubMed Toti G, Garbey M, Sherman V, Dunkin B, Bass B (2015) Smart trocar for automatic tool recognition in laparoscopic intervention. SURG INNOV 22:77–82CrossRefPubMed
20.
Zurück zum Zitat Tatar F, Mollinger J, Bossche A (2003) Ultrasound system for measuring position and orientation of laparoscopic surgery tools. In: Proceedings of IEEE sensors, vol 2, pp 98–990 Tatar F, Mollinger J, Bossche A (2003) Ultrasound system for measuring position and orientation of laparoscopic surgery tools. In: Proceedings of IEEE sensors, vol 2, pp 98–990
21.
Zurück zum Zitat Tatar F, Mollinger JR, Bastemeijer J, Bossche A (2004) Time of flight technique used for measuring position and orientation of laparoscopic surgery tools. In: Proceedings of IEEE sensors, vol 3, pp 1480–1483 Tatar F, Mollinger JR, Bastemeijer J, Bossche A (2004) Time of flight technique used for measuring position and orientation of laparoscopic surgery tools. In: Proceedings of IEEE sensors, vol 3, pp 1480–1483
22.
Zurück zum Zitat Ikuta K, Kato T, Ooe H, Ando S (2007) “ Surgery recorder system” for recording position and force of forceps during laparoscopic surgery. In: 2007 IEEE/ASME international conference on advanced intelligent mechatronics. doi:10.1109/AIM.2007.4412594 Ikuta K, Kato T, Ooe H, Ando S (2007) “ Surgery recorder system” for recording position and force of forceps during laparoscopic surgery. In: 2007 IEEE/ASME international conference on advanced intelligent mechatronics. doi:10.​1109/​AIM.​2007.​4412594
23.
Zurück zum Zitat Yuan JSC (1989) A general photogrammetric method for determining object position and orientation. IEEE Trans Robot Autom 5(2):129–142CrossRef Yuan JSC (1989) A general photogrammetric method for determining object position and orientation. IEEE Trans Robot Autom 5(2):129–142CrossRef
24.
Zurück zum Zitat Guillaume J, Albert H, Barbara B, Brian D, Marc G (2017). Global laparoscopy positioning system with a smart trocar. Comput Biol Med (in submission) Guillaume J, Albert H, Barbara B, Brian D, Marc G (2017). Global laparoscopy positioning system with a smart trocar. Comput Biol Med (in submission)
25.
Zurück zum Zitat Hur HC, Arden D, Dodge LE, Zheng B, Ricciotti HA (2011) Fundamentals of laparoscopic surgery: a surgical skills assessment tool in gynecology. JSLS 15(1):21–26CrossRefPubMedPubMedCentral Hur HC, Arden D, Dodge LE, Zheng B, Ricciotti HA (2011) Fundamentals of laparoscopic surgery: a surgical skills assessment tool in gynecology. JSLS 15(1):21–26CrossRefPubMedPubMedCentral
26.
Zurück zum Zitat Case R, Sonke J-J, Moseley DJ, Kim J, Brock KK, Dawson LA (2009) Inter- and intrafraction variability in liver position in non-breath-hold stereotactic body radiotherapy. Int J Radiat Oncol Biol Phys 75(1):302–308CrossRefPubMed Case R, Sonke J-J, Moseley DJ, Kim J, Brock KK, Dawson LA (2009) Inter- and intrafraction variability in liver position in non-breath-hold stereotactic body radiotherapy. Int J Radiat Oncol Biol Phys 75(1):302–308CrossRefPubMed
27.
Zurück zum Zitat Sahih A, Haas O, Burnham K, Mills J (2005) Organ motion modelling and prediction for adaptive radiotherapy. Proc IAR-ACD 2(89):211–216 Sahih A, Haas O, Burnham K, Mills J (2005) Organ motion modelling and prediction for adaptive radiotherapy. Proc IAR-ACD 2(89):211–216
28.
Zurück zum Zitat Khamene A, Warzelhan J, Vogt S, Elgort D, Chefd’Hotel C, Duerk J, Lewin J, Wacker F, Sauer F (2004) Characterization of internal organ motion using skin marker positions. MICCAI 90:526–533 Khamene A, Warzelhan J, Vogt S, Elgort D, Chefd’Hotel C, Duerk J, Lewin J, Wacker F, Sauer F (2004) Characterization of internal organ motion using skin marker positions. MICCAI 90:526–533
29.
Zurück zum Zitat Yang D, Lu W, Low D, Deasy J, Hope A, 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 D, Deasy J, Hope A, El Naqa I (2008) 4d-ct motion estimation using deformable image registration and 5d respiratory motion modeling. Med Phys 35(10):4577–4590CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat Fayad H, Pan T, Pradier O, Visvikis D (2012) Patient specific respiratory motion modeling using a 3D patient’s external surface. Med Phys 36(6):3386–3395CrossRef Fayad H, Pan T, Pradier O, Visvikis D (2012) Patient specific respiratory motion modeling using a 3D patient’s external surface. Med Phys 36(6):3386–3395CrossRef
31.
Zurück zum Zitat Tomasz B, Mengfei L, Zein S, Georg R (2014) Electromagnetic tracking system with reduced distortion using quadratic excitation. Int J Comput Assist Radiol Surg 9(2):323–332CrossRef Tomasz B, Mengfei L, Zein S, Georg R (2014) Electromagnetic tracking system with reduced distortion using quadratic excitation. Int J Comput Assist Radiol Surg 9(2):323–332CrossRef
32.
Zurück zum Zitat Banz VM, Müller PC, Tinguely P, Inderbitzin D, Ribes D, Peterhans M, Candinas D, Weber S (2016) Intraoperative image-guided navigation system: development and applicability in 65 patients undergoing liver surgery. Langenbeck’s Arch Surg 401(4):495–502CrossRef Banz VM, Müller PC, Tinguely P, Inderbitzin D, Ribes D, Peterhans M, Candinas D, Weber S (2016) Intraoperative image-guided navigation system: development and applicability in 65 patients undergoing liver surgery. Langenbeck’s Arch Surg 401(4):495–502CrossRef
33.
Zurück zum Zitat Peterhans M, Vom Berg A, Dagon B, Inderbitzin D, Baur C, Candinas D, Weber S (2011) A navigation system for open liver surgery: design, workflow and first clinical applications. Int J Med Robot 7(1):7–16CrossRefPubMed Peterhans M, Vom Berg A, Dagon B, Inderbitzin D, Baur C, Candinas D, Weber S (2011) A navigation system for open liver surgery: design, workflow and first clinical applications. Int J Med Robot 7(1):7–16CrossRefPubMed
34.
Zurück zum Zitat Nazim H, J’er’emie D, Igor P, Erwan K, Marie-Odile B, Stephane C (2013). Image-guided simulation of heterogeneous tissue deformation for augmented reality during hepatic surgery. In: ISMAR—IEEE international symposium on mixed and augmented reality, pp 199 – 208 Nazim H, J’er’emie D, Igor P, Erwan K, Marie-Odile B, Stephane C (2013). Image-guided simulation of heterogeneous tissue deformation for augmented reality during hepatic surgery. In: ISMAR—IEEE international symposium on mixed and augmented reality, pp 199 – 208
Metadaten
Titel
A method for going from 2D laparoscope to 3D acquisition of surface landmarks by a novel computer vision approach
verfasst von
Marc Garbey
Toan B. Nguyen
Albert Y. Huang
Vid Fikfak
Brian J. Dunkin
Publikationsdatum
31.08.2017
Verlag
Springer International Publishing
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 2/2018
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-017-1655-9

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