nach oben

International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

01.11.2016 | Original Article

Registration using 3D-printed rigid templates outperforms manually scanned surface matching in image-guided temporal bone surgery

verfasst von: Makoto Yamashita, Nozomu Matsumoto, Byunghyun Cho, Noritaka Komune, Shinya Onogi, Jongseung Lee, Jordan Bano, Tomohiko Akahoshi, Makoto Hashizume

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 11/2016

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Purpose

Image-guided surgery (IGS) for otological procedures requires minimal invasiveness and a high degree of accuracy. We have recently developed a noninvasive registration method, the Surface Template-Assisted Marker Positioning (STAMP) method, which uses a rigid template of the surface of the temporal bone. However, the STAMP method is not applicable when the bony surface is not exposed, such as in endoscopic surgery. Thus, we extended our research to apply the STAMP method onto the skin and tested its feasibility in this study.

Methods

We designed a phantom made of a rigid box and soft material for the study. The target registration error (TRE) was measured at preset measuring points in the phantom. We modified the STAMP method to be applicable for use on the skin around the ears (S-STAMP). The same phantom was also registered using the conventional, manually scanned surface matching method. We compared the TRE after the different registration methods.

Results

The TRE after the S-STAMP registration method was significantly smaller than that of the conventional surface matching method at all error measurement points in the phantom. However, the TRE after the S-STAMP registration method was significantly larger than that of paired point registration using invasive fiducial markers.

Conclusions

The S-STAMP method using a rigid template on the soft surface yields a significantly smaller TRE than that of conventional, manually scanned surface matching registration. This strategy provides an alternative option to improve the accuracy of IGS without loading patients with additional invasive procedures.

Vorheriger Artikel An augmented reality C-arm for intraoperative assessment of the mechanical axis: a preclinical study

Nächster Artikel Enhancing training performance for brain–computer interface with object-directed 3D visual guidance

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Dalgorf DM, Sacks R, Wormald PJ, Naidoo Y, Panizza B, Uren B, Brown C, Curotta J, Snidvongs K, Harvey RJ (2013) Image-guided surgery influences perioperative morbidity from endoscopic sinus surgery: a systematic review and meta-analysis. Otolaryngol Head Neck Surg 149(1):17–29. doi:10.1177/0194599813488519 CrossRefPubMed

Metzger MC, Rafii A, Holhweg-Majert B, Pham AM, Strong B (2007) Comparison of 4 registration strategies for computer-aided maxillofacial surgery. Otolaryngol Head Neck Surg 137(1):93–99. doi:10.1016/j.otohns.2007.02.015 CrossRefPubMed

Grayeli AB, Esquia-Medina G, Nguyen Y, Mazalaigue S, Vellin JF, Lombard B, Kalamarides M, Ferrary E, Sterkers O (2009) Use of anatomic or invasive markers in association with skin surface registration in image-guided surgery of the temporal bone. Acta Otolaryngol 129(4):405–410. doi:10.1080/00016480802579025 CrossRefPubMed

Gerber N, Gavaghan KA, Bell BJ, Williamson TM, Weisstanner C, Caversaccio MD, Weber S (2013) High-accuracy patient-to-image registration for the facilitation of image-guided robotic microsurgery on the head. IEEE Trans Biomed Eng 60(4):960–968. doi:10.1109/TBME.2013.2241063 CrossRefPubMed

Tarabichi M, Marchioni D, Presutti L, Nogueira JF, Pothier D (2013) Endoscopic transcanal ear anatomy and dissection. Otolaryngol Clin North Am 46(2):131–154. doi:10.1016/j.otc.2013.02.001 CrossRefPubMed

Tarabichi M, Ayache S, Nogueira JF, Al Qahtani M, Pothier DD (2013) Endoscopic management of chronic otitis media and tympanoplasty. Otolaryngol Clin North Am 46(2):155–163. doi:10.1016/j.otc.2012.12.002 CrossRefPubMed

Presutti L, Nogueira JF, Alicandri-Ciufelli M, Marchioni D (2013) Beyond the middle ear: endoscopic surgical anatomy and approaches to inner ear and lateral skull base. Otolaryngol Clin North Am 46(2):189–200. doi:10.1016/j.otc.2012.12.001 CrossRefPubMed

Kohan D, Jethanamest D (2012) Image-guided surgical navigation in otology. Laryngoscope 122(10):2291–2299. doi:10.1002/lary.23522 CrossRefPubMed

Matsumoto N, Hong J, Hashizume M, Komune S (2009) A minimally invasive registration method using surface template-assisted marker positioning (STAMP) for image-guided otologic surgery. Otolaryngol Head Neck Surg 140(1):96–102. doi:10.1016/j.otohns.2008.10.005 CrossRefPubMed

10.

Matsumoto N, Oka M, Cho B, Hong J, Jinnouchi M, Ouchida R, Hashizume M, Komune S (2012) Cochlear implantation assisted by noninvasive image guidance. Otol Neurotol 33(8):1333–1338. doi:10.1097/MAO.0b013e318268d1e9 CrossRefPubMed

11.

Oka M, Cho B, Matsumoto N, Hong J, Jinnouchi M, Ouchida R, Komune S, Hashizume M (2014) A preregistered STAMP method for image-guided temporal bone surgery. Int J Comput Assist Radiol Surg 9(1):119–126. doi:10.1007/s11548-013-0916-5 CrossRefPubMed

12.

Hong J, Hashizume M (2010) An effective point-based registration tool for surgical navigation. Surg Endosc 24(4):944–948. doi:10.1007/s00464-009-0568-2 CrossRefPubMed

13.

Pukelsheim F (1994) The three sigma rule. Am Stat 48(2):88–91. doi:10.2307/2684253

14.

Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. L. Erlbaum Associates, Hillsdale

15.

Kral F, Riechelmann H, Freysinger W (2011) Navigated surgery at the lateral skull base and registration and preoperative imagery: experimental results. Arch Otolaryngol Head Neck Surg 137(2):144–150. doi:10.1001/archoto.2010.249 CrossRefPubMed

16.

Ledderose GJ, Hagedorn H, Spiegl K, Leunig A, Stelter K (2012) Image guided surgery of the lateral skull base: testing a new dental splint registration device. Comput Aided Surg 17(1):13–20. doi:10.3109/10929088.2011.632783 CrossRefPubMed

17.

Eggers G, Muhling J (2007) Template-based registration for image-guided skull base surgery. Otolaryngol Head Neck Surg 136(6):907–913. doi:10.1016/j.otohns.2006.12.021 CrossRefPubMed

18.

Luebbers HT, Messmer P, Obwegeser JA, Zwahlen RA, Kikinis R, Graetz KW, Matthews F (2008) Comparison of different registration methods for surgical navigation in cranio-maxillofacial surgery. J Craniomaxillofac Surg 36(2):109–116. doi:10.1016/j.jcms.2007.09.002 CrossRefPubMed

19.

Schicho K, Figl M, Seemann R, Donat M, Pretterklieber ML, Birkfellner W, Reichwein A, Wanschitz F, Kainberger F, Bergmann H, Wagner A, Ewers R (2007) Comparison of laser surface scanning and fiducial marker-based registration in frameless stereotaxy. Technical note. J Neurosurg 106(4):704–709. doi:10.3171/jns.2007.106.4.704 CrossRefPubMed

20.

Hoffmann J, Westendorff C, Leitner C, Bartz D, Reinert S (2005) Validation of 3D-laser surface registration for image-guided cranio-maxillofacial surgery. J Craniomaxillofac Surg 33(1):13–18. doi:10.1016/j.jcms.2004.10.001 CrossRefPubMed

21.

Ledderose GJ, Stelter K, Leunig A, Hagedorn H (2007) Surface laser registration in ENT-surgery: accuracy in the paranasal sinuses-a cadaveric study. Rhinology 45(4):281–285PubMed

22.

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):797–801 (discussion 802-793)CrossRefPubMed

23.

Zwickl A, Leunig A, Tanner P, Rasp G, Hagedorn H (2003) Conference paper: Initial experiences with Brainlab’s Kolibri navigation system with z-touch and Soft-touch registration. Paper presented at the 2. Jahrestagung der Computer- und Roboterassistierte Chirurgie (CURAC), Nürnberg, Germany, Nov 4–7

24.

Arapakis I, Hubbe U, Maier W, Laszig R, Schipper J (2005) LED autoregistration in navigated endonasal sinus surgery. Laryngorhinootologie 84(6):418–425. doi:10.1055/s-2004-825998 CrossRefPubMed

25.

Shah UK, Daniero JJ, Clary MS, Depietro JJ, Johnston DR (2011) Low birth weight neonatal choanal atresia repair using image guidance. Int J Pediatr Otorhinolaryngol 75(10):1337–1340. doi:10.1016/j.ijporl.2011.07.011 CrossRefPubMed

26.

Zhang W, Wang C, Shen G, Wang X, Cai M, Gui H, Liu Y, Yang D (2012) A novel device for preoperative registration and automatic tracking in cranio-maxillofacial image guided surgery. Comput Aided Surg 17(5):259–267. doi:10.3109/10929088.2012.710251 CrossRefPubMed

27.

Hofer M, Dittrich E, Baumberger C, Strauss M, Dietz A, Luth T, Strauss G (2010) The influence of various registration procedures upon surgical accuracy during navigated controlled petrous bone surgery. Otolaryngol Head Neck Surg 143(2):258–262. doi:10.1016/j.otohns.2010.04.021 CrossRefPubMed

28.

Eggers G, Muhling J, Marmulla R (2005) Template-based registration for image-guided maxillofacial surgery. J Oral Maxillofac Surg 63(9):1330–1336. doi:10.1016/j.joms.2005.05.312 CrossRefPubMed

29.

West JB, Fitzpatrick JM, Toms SA, Maurer CR Jr, Maciunas RJ (2001) Fiducial point placement and the accuracy of point-based, rigid body registration. Neurosurgery 48(4):810–816 (discussion 816-817)PubMed

30.

Cho B, Matsumoto N, Komune S, Hashizume M (2014) A surgical navigation system for guiding exact cochleostomy using auditory feedback: a clinical feasibility study. Biomed Res Int 2014:769659. doi:10.1155/2014/769659 CrossRefPubMedPubMedCentral

31.

Grauvogel TD, Grauvogel J, Arndt S, Berlis A, Maier W (2012) Is there an equivalence of non-invasive to invasive referenciation in computer-aided surgery? Eur Arch Otorhinolaryngol 269(10):2285–2290. doi:10.1007/s00405-012-2023-6 CrossRefPubMed

Titel: Registration using 3D-printed rigid templates outperforms manually scanned surface matching in image-guided temporal bone surgery
verfasst von: Makoto Yamashita
Nozomu Matsumoto
Byunghyun Cho
Noritaka Komune
Shinya Onogi
Jongseung Lee
Jordan Bano
Tomohiko Akahoshi
Makoto Hashizume
Publikationsdatum: 01.11.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 11/2016
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-016-1441-0

Springer Professional

Abstract

Purpose

Methods

Results

Conclusions

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 11/2016

An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images

Shot boundary detection in endoscopic surgery videos using a variational Bayesian framework

Feasibility of differential geometry-based features in detection of anatomical feature points on patient surfaces in range image-guided radiation therapy

A computer-aided tracking and motion analysis with ultrasound (CAT & MAUS) system for the description of hip joint kinematics

Quantitative assessment of mandibular cortical erosion on dental panoramic radiographs for screening osteoporosis

Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification

Premium Partner