Workflow and simulation of image-to-physical registration of holes inside spongy bone

Research output: Contribution to journalArticleResearch

Authors

  • Jan Bergmeier
  • J. Michael Fitzpatrick
  • Dorothea Daentzer
  • Omid Majdani
  • Tobias Ortmaier
  • Lüder A. Kahrs

Research Organisations

External Research Organisations

  • Vanderbilt University
  • DIAKOVERE Annastift Hannover
  • Hannover Medical School (MHH)
  • Cluster of Excellence Hearing4all
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU Erlangen-Nürnberg)
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Details

Original languageEnglish
Pages (from-to)1425-1437
Number of pages13
JournalInternational journal of computer assisted radiology and surgery
Volume12
Issue number8
Publication statusPublished - 1 Aug 2017

Abstract

Purpose: Mastoid cells as well as trabecula provide unique bone structures, which can serve as natural landmarks for registration. Preoperative imaging enables sufficient acquisition of these structures, but registration requires an intraoperative counterpart. Since versatile surgical interventions involve drilling into mastoid cells and trabecula, we propose a registration method based on endoscopy inside of these drill holes. Methods: Recording of the surface of the inner drill hole yields bone-air patterns that provide intraoperative registration features. In this contribution, we discuss an approach that unrolls the drill hole surface into a two-dimensional image. Intraoperative endoscopic recordings are compared to simulated endoscopic views, which originate from preoperative data like computed tomography. Each simulated view corresponds to a different drill pose. The whole registration procedure and workflow is demonstrated, using high-resolution image data to simulate both preoperative and endoscopic image data. Results: As the driving application is minimally invasive cochlear implantation, in which targets are close to the axis of the drill hole, Target Registration Error (TRE) was measured at points near the axis. TRE at increasing depths along the drill trajectory reveals increasing registration accuracy as more bone-air patterns become available as landmarks with the highest accuracy obtained at the center point. At the facial recess and the cochlea, TREs are (0.363 ± 0.169) mm and (0.553 ± 0.262) mm, respectively. Conclusion: This contribution demonstrates a new method for registration via endoscopic acquisition of small features like trabecula or mastoid cells for image-guided procedures. It has the potential to revolutionize bone registration because it requires only a preoperative dataset and intraoperative endoscopic exploration. Endoscopic recordings of at least 20 mm length and isotropic voxel sizes of 0.2 mm or smaller of the preoperative image data are recommended.

Keywords

    Bone drilling, Endoscope, Mastoid, Spongious bone, Temporal bone, Trabecula

ASJC Scopus subject areas

Cite this

Workflow and simulation of image-to-physical registration of holes inside spongy bone. / Bergmeier, Jan; Fitzpatrick, J. Michael; Daentzer, Dorothea et al.
In: International journal of computer assisted radiology and surgery, Vol. 12, No. 8, 01.08.2017, p. 1425-1437.

Research output: Contribution to journalArticleResearch

Bergmeier J, Fitzpatrick JM, Daentzer D, Majdani O, Ortmaier T, Kahrs LA. Workflow and simulation of image-to-physical registration of holes inside spongy bone. International journal of computer assisted radiology and surgery. 2017 Aug 1;12(8):1425-1437. doi: 10.1007/s11548-017-1594-5
Bergmeier, Jan ; Fitzpatrick, J. Michael ; Daentzer, Dorothea et al. / Workflow and simulation of image-to-physical registration of holes inside spongy bone. In: International journal of computer assisted radiology and surgery. 2017 ; Vol. 12, No. 8. pp. 1425-1437.
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title = "Workflow and simulation of image-to-physical registration of holes inside spongy bone",
abstract = "Purpose: Mastoid cells as well as trabecula provide unique bone structures, which can serve as natural landmarks for registration. Preoperative imaging enables sufficient acquisition of these structures, but registration requires an intraoperative counterpart. Since versatile surgical interventions involve drilling into mastoid cells and trabecula, we propose a registration method based on endoscopy inside of these drill holes. Methods: Recording of the surface of the inner drill hole yields bone-air patterns that provide intraoperative registration features. In this contribution, we discuss an approach that unrolls the drill hole surface into a two-dimensional image. Intraoperative endoscopic recordings are compared to simulated endoscopic views, which originate from preoperative data like computed tomography. Each simulated view corresponds to a different drill pose. The whole registration procedure and workflow is demonstrated, using high-resolution image data to simulate both preoperative and endoscopic image data. Results: As the driving application is minimally invasive cochlear implantation, in which targets are close to the axis of the drill hole, Target Registration Error (TRE) was measured at points near the axis. TRE at increasing depths along the drill trajectory reveals increasing registration accuracy as more bone-air patterns become available as landmarks with the highest accuracy obtained at the center point. At the facial recess and the cochlea, TREs are (0.363 ± 0.169) mm and (0.553 ± 0.262) mm, respectively. Conclusion: This contribution demonstrates a new method for registration via endoscopic acquisition of small features like trabecula or mastoid cells for image-guided procedures. It has the potential to revolutionize bone registration because it requires only a preoperative dataset and intraoperative endoscopic exploration. Endoscopic recordings of at least 20 mm length and isotropic voxel sizes of 0.2 mm or smaller of the preoperative image data are recommended.",
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T1 - Workflow and simulation of image-to-physical registration of holes inside spongy bone

AU - Bergmeier, Jan

AU - Fitzpatrick, J. Michael

AU - Daentzer, Dorothea

AU - Majdani, Omid

AU - Ortmaier, Tobias

AU - Kahrs, Lüder A.

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PY - 2017/8/1

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N2 - Purpose: Mastoid cells as well as trabecula provide unique bone structures, which can serve as natural landmarks for registration. Preoperative imaging enables sufficient acquisition of these structures, but registration requires an intraoperative counterpart. Since versatile surgical interventions involve drilling into mastoid cells and trabecula, we propose a registration method based on endoscopy inside of these drill holes. Methods: Recording of the surface of the inner drill hole yields bone-air patterns that provide intraoperative registration features. In this contribution, we discuss an approach that unrolls the drill hole surface into a two-dimensional image. Intraoperative endoscopic recordings are compared to simulated endoscopic views, which originate from preoperative data like computed tomography. Each simulated view corresponds to a different drill pose. The whole registration procedure and workflow is demonstrated, using high-resolution image data to simulate both preoperative and endoscopic image data. Results: As the driving application is minimally invasive cochlear implantation, in which targets are close to the axis of the drill hole, Target Registration Error (TRE) was measured at points near the axis. TRE at increasing depths along the drill trajectory reveals increasing registration accuracy as more bone-air patterns become available as landmarks with the highest accuracy obtained at the center point. At the facial recess and the cochlea, TREs are (0.363 ± 0.169) mm and (0.553 ± 0.262) mm, respectively. Conclusion: This contribution demonstrates a new method for registration via endoscopic acquisition of small features like trabecula or mastoid cells for image-guided procedures. It has the potential to revolutionize bone registration because it requires only a preoperative dataset and intraoperative endoscopic exploration. Endoscopic recordings of at least 20 mm length and isotropic voxel sizes of 0.2 mm or smaller of the preoperative image data are recommended.

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