Markerlose Registrierung der Patientenlage

Marmulla, Rüdiger; Mühling, Joachim; Eggers, Georg; Haßfeld, Stefan

doi:10.1007/s00106-004-1101-5

Cited by 13 publications

(4 citation statements)

References 22 publications

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“…The present authors have previously demonstrated the feasibility of a technique of mechanical surface registration: a stereolithographic negative of a bone surface is produced using the image data. Similar to a key in a keyhole, this negative can only be attached to the bone surface in one particular position, thus inherently performing the registration 114,125,126,127 . In optical surface registration, the surface information is gathered using contact-free optical systems.…”

Section: Surface Registrationmentioning

confidence: 99%

Image-to-patient registration techniques in head surgery

Eggers

Mühling

Marmulla

2006

International Journal of Oral and Maxillofacial Surgery

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203

135

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Section: Surface Registrationmentioning

confidence: 99%

Image-to-patient registration techniques in head surgery

Eggers

Mühling

Marmulla

2006

International Journal of Oral and Maxillofacial Surgery

Self Cite

203

135

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“…3). The navigation software computes the target registration error (Fitzpatrick and West, 2001;Marmulla et al, 2005b) as the square root of the sum of squared deviation in all three spatial directions is ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi ffi…”

Section: Referencing and Navigationmentioning

confidence: 99%

“…Registration techniques can be categorized into two main groups: (I) marker-based registration (Altobelli et al, 1993;Hassfeld et al, 1995;Howard et al, 1995;Schramm et al, 1999;Luebbers, 2004) and (II) markerfree registration (Troitzsch et al, 2003;Marmulla et al, 2004bMarmulla et al, , 2005bHoffmann et al, 2005). Marker-based registration requires markers that are apparent in the pre-operative images and are easily detectable on the patient during the procedure.…”

Section: Introductionmentioning

confidence: 98%

Comparison of different registration methods for surgical navigation in cranio-maxillofacial surgery

Luebbers

Messmer

Obwegeser

et al. 2008

Journal of Cranio-Maxillofacial Surgery

172

135

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“…The existing intraoperative registration methods are either marker-based registration or marker-free registration (Luebbers et al, 2008;Zheng et al, 2007). The marker-based registration (Marmulla et al, 2005;Schramm et al, 1999) calculates the transformation parameters using the coordinates of some special additional markers (e.g. metal balls).…”

Section: Introductionmentioning

confidence: 99%

Registration method for three-dimensional point cloud in rough and fine registrations based on principal component analysis and iterative closest point algorithm

Tian¹,

Dang²,

Ji-hu³

et al. 2017

Traitement du signal

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For the registration between the preoperative computed tomography (CT) image and the intraoperative patient space in surgical navigation technology, this paper puts forward a registration technique based on the principal component analysis (PCA) and the iterative closest point (ICP) algorithm, using two feature point clouds from the medical image space and the actual patient space. Firstly, the feature point cloud of the image space was obtained through the reconstruction, segmentation and interactive operation of the CT image, while the corresponding feature point cloud in the actual patient space was collected by the optical locator in real time. Secondly, the eigenvectors of the two sets of point clouds were obtained through the PCA for rough registration, and the optimal solution of the registration matrix was found by the ICP. Finally, the effect of the proposed registration method was verified against point cloud data (the surgical navigation accuracy was evaluated through an experiment on the vertebra model), and the impacts of the number of point clouds and Gaussian noise on the registration error were investigated in details. The results show that the proposed method is simple and capable of realizing high registration accuracy, and completed registration with a less-than-2mm error in our experiment; in addition, the registration accuracy was greatly affected by the number of point clouds and the noise of the photoelectric locator. This research provides a general solution for registration in surgical navigation and lays the theoretical basis for improving intraoperative registration accuracy. RÉSUMÉ. Pour l'enregistrement entre l'image tomodensitométrique préopératoire et l'espace patient peropé ratoire dans la technologie de navigation chirurgicale,cet article propose une technique d'enregistrement basé e sur l'analyse en composantes principales (PCA) et l'algorithme de 'iterative closest point' (ICP), utilisant deux nuages de points caractéristiques de l'espace image mé dical et de l'espace patient ré el.Tout d'abord, le nuage de point caracté ristique de l'espace image a é té obtenu par la reconstruction, la segmentation et le

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Markerlose Registrierung der Patientenlage

Abstract: Laser-scan registration of the auricle reduces logistics in image-guided lateral skull base surgery. The problem of temporary deformation of the auricle during CT imaging might be solved by an appropriate opening in the head support at the level of the auricles.

Cited by 13 publications

References 22 publications

Image-to-patient registration techniques in head surgery

Image-to-patient registration techniques in head surgery

Comparison of different registration methods for surgical navigation in cranio-maxillofacial surgery

Registration method for three-dimensional point cloud in rough and fine registrations based on principal component analysis and iterative closest point algorithm

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