Skip to main content
Erschienen in: International Journal of Computer Assisted Radiology and Surgery 4/2013

01.07.2013 | Original Article

Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations

verfasst von: Dante De Nigris, D. Louis Collins, Tal Arbel

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 4/2013

Einloggen

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

search-config
loading …

Abstract

Purpose   

We present a novel approach for the registration of pre-operative magnetic resonance images to intra-operative ultrasound images for the context of image-guided neurosurgery.

Method   

Our technique relies on the maximization of gradient orientation alignment in a reduced set of high confidence locations of interest and allows for fast, accurate, and robust registration. Performance is compared with multiple state-of-the-art techniques including conventional intensity-based multi-modal registration strategies, as well as other context-specific approaches. All methods were evaluated on fourteen clinical neurosurgical cases with brain tumors, including low-grade and high-grade gliomas, from the publicly available MNI BITE dataset. Registration accuracy of each method is evaluated as the mean distance between homologous landmarks identified by two or three experts. We provide an analysis of the landmarks used and expose some of the limitations in validation brought forward by expert disagreement and uncertainty in identifying corresponding points.

Results   

The proposed approach yields a mean error of 2.57 mm across all cases (the smallest among all evaluated techniques). Additionally, it is the only evaluated technique that resolves all cases with a mean distance of less than 1 mm larger than the theoretical minimal mean distance when using a rigid transformation.

Conclusion   

Finally, our proposed method provides reduced processing times with an average registration time of 0.76 s in a GPU-based implementation, thereby facilitating its integration into the operating room.

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!

Fußnoten
2
Note that the third expert in the MNI BITE dataset identified homologous landmarks for the first six cases only.
 
Literatur
1.
Zurück zum Zitat Automatic non-linear mri-ultrasound registration for the correction of intra-operative brain deformations. In: Niessen W, Viergever M (eds) Medical image computing and computer-assisted intervention- MICCAI 2001, Lecture Notes in Computer Science, vol. 2208, pp 913–922. Springer, Berlin (2001) Automatic non-linear mri-ultrasound registration for the correction of intra-operative brain deformations. In: Niessen W, Viergever M (eds) Medical image computing and computer-assisted intervention- MICCAI 2001, Lecture Notes in Computer Science, vol. 2208, pp 913–922. Springer, Berlin (2001)
2.
Zurück zum Zitat Beyond mutual information: a simple and robust alternative. In: Meinzer HP, Handels H, Horsch A, Tolxdorff T (eds) Bildverarbeitung für die Medizin 2005, Informatik aktuell, pp 350–354. Springer, Berlin (2005) Beyond mutual information: a simple and robust alternative. In: Meinzer HP, Handels H, Horsch A, Tolxdorff T (eds) Bildverarbeitung für die Medizin 2005, Informatik aktuell, pp 350–354. Springer, Berlin (2005)
3.
Zurück zum Zitat Brooks R, Collins D, Morandi X, Arbel T (2008) Deformable ultrasound registration without reconstruction. In: Medical image computing and computer-assisted intervention-MICCAI 2008, Lecture Notes in Computer Science, vol. 5242, pp 1023–1031. Springer, Berlin Brooks R, Collins D, Morandi X, Arbel T (2008) Deformable ultrasound registration without reconstruction. In: Medical image computing and computer-assisted intervention-MICCAI 2008, Lecture Notes in Computer Science, vol. 5242, pp 1023–1031. Springer, Berlin
4.
Zurück zum Zitat Dai Y, Tian J, Dong D, Yan G, Zheng H (2010) Real-time visualized freehand 3d ultrasound reconstruction based on gpu. IEEE Trans Inf Technol Biomed 14(6):1338–1345PubMedCrossRef Dai Y, Tian J, Dong D, Yan G, Zheng H (2010) Real-time visualized freehand 3d ultrasound reconstruction based on gpu. IEEE Trans Inf Technol Biomed 14(6):1338–1345PubMedCrossRef
5.
Zurück zum Zitat De Nigris D, Collins D, Arbel T (2012) Fast and robust registration based on gradient orientations: case study matching intra-operative ultrasound to pre-operative mri in neurosurgery. Springer, Berlin, pp 125–134 De Nigris D, Collins D, Arbel T (2012) Fast and robust registration based on gradient orientations: case study matching intra-operative ultrasound to pre-operative mri in neurosurgery. Springer, Berlin, pp 125–134
6.
Zurück zum Zitat De Nigris D, Collins DL, Arbel T (2012) Multi-modal image registration based on gradient orientations of minimal uncertainty. IEEE Trans Med Imaging PP(99):1 De Nigris D, Collins DL, Arbel T (2012) Multi-modal image registration based on gradient orientations of minimal uncertainty. IEEE Trans Med Imaging PP(99):1
7.
Zurück zum Zitat De Nigris D, Mercier L, Del Maestro R, Collins DL, Arbel T (2010) Hierarchical multimodal image registration based on adaptive local mutual information. In: Medical image computing and computer-assisted intervention-MICCAI 2010, Lecture Notes in Computer Science, vol. 6362, pp 643–651. Springer, Berlin De Nigris D, Mercier L, Del Maestro R, Collins DL, Arbel T (2010) Hierarchical multimodal image registration based on adaptive local mutual information. In: Medical image computing and computer-assisted intervention-MICCAI 2010, Lecture Notes in Computer Science, vol. 6362, pp 643–651. Springer, Berlin
8.
Zurück zum Zitat Hansen N, Ostermeier A (2001) Completely derandomized self-adaptation in evolution strategies. Evolut Comput 9:159–195CrossRef Hansen N, Ostermeier A (2001) Completely derandomized self-adaptation in evolution strategies. Evolut Comput 9:159–195CrossRef
9.
Zurück zum Zitat Heinrich M, Schnabel J, Gleeson F, Brady F, Jenkinson M (2010) Non-rigid multimodal medical image registration using optical flow and gradient orientation. In: Proceedings of medical image understanding and analysis Heinrich M, Schnabel J, Gleeson F, Brady F, Jenkinson M (2010) Non-rigid multimodal medical image registration using optical flow and gradient orientation. In: Proceedings of medical image understanding and analysis
10.
Zurück zum Zitat Ji S, Wu Z, Hartov A, Roberts DW, Paulsen KD (2008) Mutual-information-based image to patient re-registration using intraoperative ultrasound in image-guided neurosurgery. Med Phys 35(10):4612–4624PubMedCrossRef Ji S, Wu Z, Hartov A, Roberts DW, Paulsen KD (2008) Mutual-information-based image to patient re-registration using intraoperative ultrasound in image-guided neurosurgery. Med Phys 35(10):4612–4624PubMedCrossRef
11.
Zurück zum Zitat Karaçali B (2007) Information theoretic deformable registration using local image information. Int J Comput Vis 72(3):219–237 Karaçali B (2007) Information theoretic deformable registration using local image information. Int J Comput Vis 72(3):219–237
12.
Zurück zum Zitat Letteboer M, Willems P, Viergever M, Niessen W (2005) Brain shift estimation in image-guided neurosurgery using 3-d ultrasound. IEEE Trans Biomed Eng 52(2):268–276 Letteboer M, Willems P, Viergever M, Niessen W (2005) Brain shift estimation in image-guided neurosurgery using 3-d ultrasound. IEEE Trans Biomed Eng 52(2):268–276
13.
Zurück zum Zitat Loupas T, McDicken W, Allan P (1989) An adaptive weighted median filter for speckle suppression in medical ultrasonic images. IEEE Trans Circuits Syst 36(1):129–135 Loupas T, McDicken W, Allan P (1989) An adaptive weighted median filter for speckle suppression in medical ultrasonic images. IEEE Trans Circuits Syst 36(1):129–135
14.
Zurück zum Zitat Mellor M, Brady M (2004) Non-rigid multimodal image registration using local phase. In: Medical image computing and computer-assisted intervention—MICCAI 2004, vol. 3216, pp 789–796 Mellor M, Brady M (2004) Non-rigid multimodal image registration using local phase. In: Medical image computing and computer-assisted intervention—MICCAI 2004, vol. 3216, pp 789–796
15.
Zurück zum Zitat Mercier L, Del Maestro R, Petrecca K, Araujo D, Haegelen C, Collins DL (2012) Online database of clinical mr and ultrasound images of brain tumors. Med Phys 39(6):3253–3261PubMedCrossRef Mercier L, Del Maestro R, Petrecca K, Araujo D, Haegelen C, Collins DL (2012) Online database of clinical mr and ultrasound images of brain tumors. Med Phys 39(6):3253–3261PubMedCrossRef
16.
Zurück zum Zitat Mercier L, Fonov V, Haegelen C, Del Maestro R, Petrecca K, Collins D (2012) Comparing two approaches to rigid registration of three-dimensional ultrasound and magnetic resonance images for neurosurgery. Int J Comput Assist Radiol Surg 7(1):125–136PubMedCrossRef Mercier L, Fonov V, Haegelen C, Del Maestro R, Petrecca K, Collins D (2012) Comparing two approaches to rigid registration of three-dimensional ultrasound and magnetic resonance images for neurosurgery. Int J Comput Assist Radiol Surg 7(1):125–136PubMedCrossRef
17.
Zurück zum Zitat Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9(1):62–66CrossRef Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9(1):62–66CrossRef
18.
Zurück zum Zitat Pluim J, Maintz J, Viergever M (2000) Image registration by maximization of combined mutual information and gradient information. IEEE Trans Med Imaging 19(8):809–814PubMedCrossRef Pluim J, Maintz J, Viergever M (2000) Image registration by maximization of combined mutual information and gradient information. IEEE Trans Med Imaging 19(8):809–814PubMedCrossRef
19.
Zurück zum Zitat Pluim J, Maintz J, Viergever M (2000) Image registration by maximization of combined mutual information and gradient information. In: Medical image computing and computer-assisted intervention- MICCAI 2000, Lecture Notes in Computer Science, vol. 1935, pp 103–129. Springer, Berlin Pluim J, Maintz J, Viergever M (2000) Image registration by maximization of combined mutual information and gradient information. In: Medical image computing and computer-assisted intervention- MICCAI 2000, Lecture Notes in Computer Science, vol. 1935, pp 103–129. Springer, Berlin
20.
Zurück zum Zitat Roche A, Pennec X, Malandain G, Ayache N (2001) Rigid registration of 3D ultrasound with MR images: a new approach combining intensity and gradient information. IEEE Trans Med Imaging 20:1038–1049PubMedCrossRef Roche A, Pennec X, Malandain G, Ayache N (2001) Rigid registration of 3D ultrasound with MR images: a new approach combining intensity and gradient information. IEEE Trans Med Imaging 20:1038–1049PubMedCrossRef
21.
Zurück zum Zitat Sibson R (1978) Studies in the robustness of multidimensional scaling: procrustes statistics. J R Stat Soc Ser B (Methodological) 40(2):234–238 Sibson R (1978) Studies in the robustness of multidimensional scaling: procrustes statistics. J R Stat Soc Ser B (Methodological) 40(2):234–238
22.
Zurück zum Zitat Trobaugh JW, Trobaugh DJ, Richard WD (1994) Three-dimensional imaging with stereotactic ultrasonography. Comput Med Imaging Graph 18(5):315–323PubMedCrossRef Trobaugh JW, Trobaugh DJ, Richard WD (1994) Three-dimensional imaging with stereotactic ultrasonography. Comput Med Imaging Graph 18(5):315–323PubMedCrossRef
23.
Zurück zum Zitat Unsgaard G, Selbekk T, Brostrup Mller T, Ommedal S, Torp SH, Myhr G, Bang J, Nagelhus Hernes TA (2005) Ability of navigated 3d ultrasound to delineate gliomas and metastases comparison of image interpretations with histopathology. Acta Neurochir 147:1259–1269PubMedCrossRef Unsgaard G, Selbekk T, Brostrup Mller T, Ommedal S, Torp SH, Myhr G, Bang J, Nagelhus Hernes TA (2005) Ability of navigated 3d ultrasound to delineate gliomas and metastases comparison of image interpretations with histopathology. Acta Neurochir 147:1259–1269PubMedCrossRef
24.
Zurück zum Zitat Wein W, Brunke S, Khamene A, Callstrom MR, Navab N (2008) Automatic ct-ultrasound registration for diagnostic imaging and image-guided intervention. Med Image Anal 12(5):577–585PubMedCrossRef Wein W, Brunke S, Khamene A, Callstrom MR, Navab N (2008) Automatic ct-ultrasound registration for diagnostic imaging and image-guided intervention. Med Image Anal 12(5):577–585PubMedCrossRef
25.
Zurück zum Zitat Zhang W, Noble J, Brady J (2007) Adaptive non-rigid registration of real time 3d ultrasound to cardiovascular mr images. In: Karssemeijer N, Lelieveldt B (eds) Information processing in medical imaging, Lecture Notes in Computer Science, vol. 4584, pp 50–61. Springer, Berlin Zhang W, Noble J, Brady J (2007) Adaptive non-rigid registration of real time 3d ultrasound to cardiovascular mr images. In: Karssemeijer N, Lelieveldt B (eds) Information processing in medical imaging, Lecture Notes in Computer Science, vol. 4584, pp 50–61. Springer, Berlin
Metadaten
Titel
Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations
verfasst von
Dante De Nigris
D. Louis Collins
Tal Arbel
Publikationsdatum
01.07.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 4/2013
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-013-0826-6

Weitere Artikel der Ausgabe 4/2013

International Journal of Computer Assisted Radiology and Surgery 4/2013 Zur Ausgabe

Premium Partner