Skip to main content
Erschienen in: International Journal of Computer Assisted Radiology and Surgery 6/2018

05.04.2018 | Original Article

Registration of 3D freehand ultrasound to a bone model for orthopedic procedures of the forearm

verfasst von: Matija Ciganovic, Firat Ozdemir, Fabien Pean, Philipp Fuernstahl, Christine Tanner, Orcun Goksel

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 6/2018

Einloggen

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

search-config
loading …

Abstract

Purpose

For guidance of orthopedic surgery, the registration of preoperative images and corresponding surgical plans with the surgical setting can be of great value. Ultrasound (US) is an ideal modality for surgical guidance, as it is non-ionizing, real time, easy to use, and requires minimal (magnetic/radiation) safety limitations. By extracting bone surfaces from 3D freehand US and registering these to preoperative bone models, complementary information from these modalities can be fused and presented in the surgical realm.

Methods

A partial bone surface is extracted from US using phase symmetry and a factor graph-based approach. This is registered to the detailed 3D bone model, conventionally generated for preoperative planning, based on a proposed multi-initialization and surface-based scheme robust to partial surfaces.

Results

36 forearm US volumes acquired using a tracked US probe were independently registered to a 3D model of the radius, manually extracted from MRI. Given intraoperative time restrictions, a computationally efficient algorithm was determined based on a comparison of different approaches. For all 36 registrations, a mean (± SD) point-to-point surface distance of \(0.57\,(\pm \,0.08)\,\hbox {mm}\) was obtained from manual gold standard US bone annotations (not used during the registration) to the 3D bone model.

Conclusions

A registration framework based on the bone surface extraction from 3D freehand US and a subsequent fast, automatic surface alignment robust to single-sided view and large false-positive rates from US was shown to achieve registration accuracy feasible for practical orthopedic scenarios and a qualitative outcome indicating good visual image alignment.

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!

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!

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!

Literatur
1.
Zurück zum Zitat Court-Brown CM, Caesar B (2006) Epidemiology of adult fractures: a review. Injury 37(8):691–697CrossRefPubMed Court-Brown CM, Caesar B (2006) Epidemiology of adult fractures: a review. Injury 37(8):691–697CrossRefPubMed
3.
Zurück zum Zitat Chung KC, Spilson SV (2001) The frequency and epidemiology of hand and forearm fractures in the United States. J Hand Surg 26(5):908–915CrossRef Chung KC, Spilson SV (2001) The frequency and epidemiology of hand and forearm fractures in the United States. J Hand Surg 26(5):908–915CrossRef
4.
Zurück zum Zitat Rohling R, Gee A, Berman L (1999) A comparison of freehand three-dimensional ultrasound reconstruction techniques. Med Image Anal 3(4):339–359CrossRefPubMed Rohling R, Gee A, Berman L (1999) A comparison of freehand three-dimensional ultrasound reconstruction techniques. Med Image Anal 3(4):339–359CrossRefPubMed
5.
Zurück zum Zitat Flach B, Makhinya M, Goksel O (2016) PURE: panoramic ultrasound reconstruction by seamless stitching of volumes. In: MICCAI W SASHIMI, pp 75–84 Flach B, Makhinya M, Goksel O (2016) PURE: panoramic ultrasound reconstruction by seamless stitching of volumes. In: MICCAI W SASHIMI, pp 75–84
6.
Zurück zum Zitat Prager RW, Gee AH, Treece GM, Cash CJ, Berman LH (2003) Sensorless freehand 3-D ultrasound using regression of the echo intensity. Ultrasound Med Biol 29(3):437–446CrossRefPubMed Prager RW, Gee AH, Treece GM, Cash CJ, Berman LH (2003) Sensorless freehand 3-D ultrasound using regression of the echo intensity. Ultrasound Med Biol 29(3):437–446CrossRefPubMed
7.
Zurück zum Zitat Penney GP, Barratt DC, Chan CSK, Slomczykowski M, Carter TJ, Edwards PJ, Hawkes DJ (2005) Cadaver validation of intensity-based ultrasound to CT registration. In: MICCAI, pp 1000–1007 Penney GP, Barratt DC, Chan CSK, Slomczykowski M, Carter TJ, Edwards PJ, Hawkes DJ (2005) Cadaver validation of intensity-based ultrasound to CT registration. In: MICCAI, pp 1000–1007
8.
Zurück zum Zitat Gill S, Mousavi P, Fichtinger G, Chen E, Boisvert J, Pichora D, Abolmaesumi P (2009) Biomechanically constrained groupwise US to CT registration of the lumbar spine. In: MICCAI, pp 803–810 Gill S, Mousavi P, Fichtinger G, Chen E, Boisvert J, Pichora D, Abolmaesumi P (2009) Biomechanically constrained groupwise US to CT registration of the lumbar spine. In: MICCAI, pp 803–810
9.
Zurück zum Zitat Wein W, Khamene A, Clevert D, Kutter O, Navab N (2007) Simulation & fully auto-matic multimodal registration of medical ultrasound. In: MICCAI, pp 136–143 Wein W, Khamene A, Clevert D, Kutter O, Navab N (2007) Simulation & fully auto-matic multimodal registration of medical ultrasound. In: MICCAI, pp 136–143
10.
Zurück zum Zitat Hacihaliloglu I, Rasoulian A, Rohling RN, Abolmaesumi P (2014) Local phase tensor features for 3-D ultrasound to statistical shape + pose spine model registration. IEEE TMI 33:2167–2179 Hacihaliloglu I, Rasoulian A, Rohling RN, Abolmaesumi P (2014) Local phase tensor features for 3-D ultrasound to statistical shape + pose spine model registration. IEEE TMI 33:2167–2179
11.
Zurück zum Zitat Taquee F, Goksel O, Mahdavi SS, Keyes M, Morris WJ, Spadinger I, Salcudean S (2012) Deformable prostate registration from MR and TRUS images using surface error driven FEM models. In: SPIE medical imaging, vol. 8316 Taquee F, Goksel O, Mahdavi SS, Keyes M, Morris WJ, Spadinger I, Salcudean S (2012) Deformable prostate registration from MR and TRUS images using surface error driven FEM models. In: SPIE medical imaging, vol. 8316
12.
Zurück zum Zitat Khallaghi S, Sánchez CA, Sun J, Imani F, Khale AKG, Goksel O, Rasoulian A, Romagnoli C, Abdi H, Chang S, Mousavi P, Fenster A, Ward A, Fels S, Abolmaesumi P (2015) Biomechanically constrained surface registration: application to MR-TRUS fusion for prostate interventions. IEEE TMI 34(11):2404–14 Khallaghi S, Sánchez CA, Sun J, Imani F, Khale AKG, Goksel O, Rasoulian A, Romagnoli C, Abdi H, Chang S, Mousavi P, Fenster A, Ward A, Fels S, Abolmaesumi P (2015) Biomechanically constrained surface registration: application to MR-TRUS fusion for prostate interventions. IEEE TMI 34(11):2404–14
13.
Zurück zum Zitat Besl PJ, McKay ND (1992) A method for registration of 3-D shapes. IEEE TPAMI 14(2):239–256CrossRef Besl PJ, McKay ND (1992) A method for registration of 3-D shapes. IEEE TPAMI 14(2):239–256CrossRef
14.
Zurück zum Zitat Beitzel J, Ahmadi S, Karamalis A, Wein W, Navab N (2012) Ultrasound bone detection using patient-specific CT prior. 2664–2667 Beitzel J, Ahmadi S, Karamalis A, Wein W, Navab N (2012) Ultrasound bone detection using patient-specific CT prior. 2664–2667
15.
Zurück zum Zitat Kowal J, Amstutz C, Langlotz F, Talib H, Ballester MG (2007) Automated bone contour detection in ultrasound B-mode images for minimally invasive registration in computer-assisted surgeryan in vitro evaluation. IJCARS 3(4):341–348 Kowal J, Amstutz C, Langlotz F, Talib H, Ballester MG (2007) Automated bone contour detection in ultrasound B-mode images for minimally invasive registration in computer-assisted surgeryan in vitro evaluation. IJCARS 3(4):341–348
16.
Zurück zum Zitat Brounstein A, Hacihaliloglu I, Guy P, Hodgson A, Abugharbieh R (2011) Towards real-time 3D US to CT bone image registration using phase and curvature feature based GMM matching. In: MICCAI, pp 235–242 Brounstein A, Hacihaliloglu I, Guy P, Hodgson A, Abugharbieh R (2011) Towards real-time 3D US to CT bone image registration using phase and curvature feature based GMM matching. In: MICCAI, pp 235–242
17.
Zurück zum Zitat Jian B, Vemuri BC (2005) A robust algorithm for point set registration using mixture of Gaussians. In: ICCV, pp 1246–1251 Jian B, Vemuri BC (2005) A robust algorithm for point set registration using mixture of Gaussians. In: ICCV, pp 1246–1251
18.
Zurück zum Zitat Moghari MH, Abolmaesumi P (2007) Point-based rigid-body registration using an unscented Kalman filter. IEEE TMI 26(12):1708–1728 Moghari MH, Abolmaesumi P (2007) Point-based rigid-body registration using an unscented Kalman filter. IEEE TMI 26(12):1708–1728
19.
Zurück zum Zitat Echeverría R, Cortes C, Bertelsen A, Macia I, Ruiz Ó E, Flórez J (2016) Robust CT to US 3D–3D registration by using principal component analysis and Kalman filtering. In: Computational methods and clinical applications for spine imaging, pp 52–63 Echeverría R, Cortes C, Bertelsen A, Macia I, Ruiz Ó E, Flórez J (2016) Robust CT to US 3D–3D registration by using principal component analysis and Kalman filtering. In: Computational methods and clinical applications for spine imaging, pp 52–63
20.
Zurück zum Zitat Behnami D, Sedghi A, Anas EMA, Rasoulian A, Seitel A, Lessoway V, Ungi T, Yen D, Osborn J, Mousavi P, Rohling R, Abolmaesumi P (2017) Model-based registration of preprocedure MR and intraprocedure us of the lumbar spine. IJCARS 12(6):973–982 Behnami D, Sedghi A, Anas EMA, Rasoulian A, Seitel A, Lessoway V, Ungi T, Yen D, Osborn J, Mousavi P, Rohling R, Abolmaesumi P (2017) Model-based registration of preprocedure MR and intraprocedure us of the lumbar spine. IJCARS 12(6):973–982
21.
Zurück zum Zitat Nagpal S, Abolmaesumi P, Rasoulian A, Ungi T, Hacihaliloglu I, Osborn J, Borschneck DP, Lessoway VA, Rohling RN, Mousavi P (2014) CT to US registration of the lumbar spine: a clinical feasibility study. In: IPCAI, pp 108–117 Nagpal S, Abolmaesumi P, Rasoulian A, Ungi T, Hacihaliloglu I, Osborn J, Borschneck DP, Lessoway VA, Rohling RN, Mousavi P (2014) CT to US registration of the lumbar spine: a clinical feasibility study. In: IPCAI, pp 108–117
22.
Zurück zum Zitat Johnson H, Harris G, Williams K (2007) BRAINSFit: mutual information registrations of whole-brain 3D images, using the insight toolkit. Insight J 57(1) Johnson H, Harris G, Williams K (2007) BRAINSFit: mutual information registrations of whole-brain 3D images, using the insight toolkit. Insight J 57(1)
23.
Zurück zum Zitat Song X, Myronenko A (2010) Point set registration: coherent point drift. IEEE TPAMI 32:2262–2275CrossRef Song X, Myronenko A (2010) Point set registration: coherent point drift. IEEE TPAMI 32:2262–2275CrossRef
24.
Zurück zum Zitat Foroughi P, Boctor E, Swartz MJ, Taylor RH, Fichtinger G (2007) P6D-2 ultrasound bone segmentation using dynamic programming. In: IEEE ultrasonics symposium, pp 2523–2526 Foroughi P, Boctor E, Swartz MJ, Taylor RH, Fichtinger G (2007) P6D-2 ultrasound bone segmentation using dynamic programming. In: IEEE ultrasonics symposium, pp 2523–2526
25.
Zurück zum Zitat Wein W, Karamalis A, Baumgartner A, Navab N (2015) Automatic bone detection and soft tissue aware ultrasound-CT registration for computer-aided orthopedic surgery. IJCARS 10(6):971–979 Wein W, Karamalis A, Baumgartner A, Navab N (2015) Automatic bone detection and soft tissue aware ultrasound-CT registration for computer-aided orthopedic surgery. IJCARS 10(6):971–979
26.
Zurück zum Zitat Karamalis A, Wein W, Klein T, Navab N (2012) Ultrasound confidence maps using random walks. Med Image Anal 16(6):1101–1112CrossRefPubMed Karamalis A, Wein W, Klein T, Navab N (2012) Ultrasound confidence maps using random walks. Med Image Anal 16(6):1101–1112CrossRefPubMed
27.
Zurück zum Zitat Hacihaliloglu I, Abugharbieh R, Hodgson A, Rohling RN (2009) Bone surface localization in ultrasound using image phase-based features. Ultrasound Med Biol 35(9):1475–1487CrossRefPubMed Hacihaliloglu I, Abugharbieh R, Hodgson A, Rohling RN (2009) Bone surface localization in ultrasound using image phase-based features. Ultrasound Med Biol 35(9):1475–1487CrossRefPubMed
28.
Zurück zum Zitat Kovesi P (1999) Image features from phase congruency. Videre J Comput Vis Res 1(3):1–26 Kovesi P (1999) Image features from phase congruency. Videre J Comput Vis Res 1(3):1–26
29.
Zurück zum Zitat Ozdemir F, Ozkan E, Goksel O (2016) Graphical modeling of ultrasound propagation in tissue for automatic bone segmentation. In: MICCAI, pp 256–264 Ozdemir F, Ozkan E, Goksel O (2016) Graphical modeling of ultrasound propagation in tissue for automatic bone segmentation. In: MICCAI, pp 256–264
30.
Zurück zum Zitat Chen Y, Medioni G (1992) Object modelling by registration of multiple range images. Image Vis Comput 10(3):145–155CrossRef Chen Y, Medioni G (1992) Object modelling by registration of multiple range images. Image Vis Comput 10(3):145–155CrossRef
31.
Zurück zum Zitat Lasso A, Heffter T, Rankin A, Pinter C, Ungi T, Fichtinger G (2014) Plus: open-source toolkit for ultrasound-guided intervention systems. IEEE TBME 61(10):2527–2537 Lasso A, Heffter T, Rankin A, Pinter C, Ungi T, Fichtinger G (2014) Plus: open-source toolkit for ultrasound-guided intervention systems. IEEE TBME 61(10):2527–2537
32.
Zurück zum Zitat Schumann S (2016) State of the art of ultrasound-based registration in computer assisted orthopedic interventions. In: Computational radiology for orthopaedic interventions. Springer, pp 271–297 Schumann S (2016) State of the art of ultrasound-based registration in computer assisted orthopedic interventions. In: Computational radiology for orthopaedic interventions. Springer, pp 271–297
Metadaten
Titel
Registration of 3D freehand ultrasound to a bone model for orthopedic procedures of the forearm
verfasst von
Matija Ciganovic
Firat Ozdemir
Fabien Pean
Philipp Fuernstahl
Christine Tanner
Orcun Goksel
Publikationsdatum
05.04.2018
Verlag
Springer International Publishing
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 6/2018
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-018-1756-0

Weitere Artikel der Ausgabe 6/2018

International Journal of Computer Assisted Radiology and Surgery 6/2018 Zur Ausgabe