Image-to-patient registration by natural anatomical surfaces of the head

Marmulla, Rüdiger; Mühling, Joachim; Eggers, Georg

doi:10.2478/s11536-006-0042-7

Cited by 3 publications

(6 citation statements)

References 33 publications

(38 reference statements)

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“…Until now, three studies used the mandibular bone surface for registration during optical navigation of the mandible, either as standalone method or as part of a hybrid technique. However, in a study by Marmulla et al (2007) the registration failed due to an incongruence of the mandibular surface [28]. Sun et al (2020) achieved a successful registration in three patients with a TRE of 1.0 mm and Lubbers et al (2010) achieved a deviation of less than 1 mm in a phantom study [19,29].…”

Section: Discussionmentioning

confidence: 99%

A hybrid registration method using the mandibular bone surface for electromagnetic navigation in mandibular surgery

et al. 2022

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Purpose To utilize navigated mandibular (reconstructive) surgery, accurate registration of the preoperative CT scan with the actual patient in the operating room (OR) is required. In this phantom study, the feasibility of a noninvasive hybrid registration method is assessed. This method consists of a point registration with anatomic landmarks for initialization and a surface registration using the bare mandibular bone surface for optimization. Methods Three mandible phantoms with reference notches on two osteotomy planes were 3D printed. An electromagnetic tracking system in combination with 3D Slicer software was used for navigation. Different configurations, i.e., different surface point areas and number and configuration of surface points, were tested with a dentate phantom (A) in a metalfree environment. To simulate the intraoperative environment and different anatomies, the registration procedure was also performed with an OR bed using the dentate phantom and two (partially) edentulous phantoms with atypical anatomy (B and C). The accuracy of the registration was calculated using the notches on the osteotomy planes and was expressed as the target registration error (TRE). TRE values of less than 2.0 mm were considered as clinically acceptable. Results In all experiments, the mean TRE was less than 2.0 mm. No differences were found using different surface point areas or number or configurations of surface points. Registration accuracy in the simulated intraoperative setting was-mean (SD)-0.96 (0.22), 0.93 (0.26), and 1.50 (0.28) mm for phantom A, phantom B, and phantom C. Conclusion Hybrid registration is a noninvasive method that requires only a small area of the bare mandibular bone surface to obtain high accuracy in phantom setting. Future studies should test this method in clinical setting during actual surgery.

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Section: Discussionmentioning

confidence: 99%

A hybrid registration method using the mandibular bone surface for electromagnetic navigation in mandibular surgery

et al. 2022

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“…This lengthens the OR time and leads to extra ionizing radiation for the patient. Surface registration using points on the facial skin is easier when compared to using the mandibular bone surface, because with the latter method, soft tissue attached to the bone needs to be removed first 42 . However, facial scanning results in a less accurate registration than bone matching.…”

Section: Discussionmentioning

confidence: 99%

“…3E). In cases with facial swelling, trauma, or incomplete imaging of the soft tissues, this can be an alternative to facial surface scanning 42 . Only two studies described the use of this method to perform registration.…”

Section: Surface Registrationmentioning

confidence: 99%

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Registration methods for surgical navigation of the mandible: a systematic review

Geer¹,

Koning²,

Alphen³

et al. 2022

International Journal of Oral and Maxillofacial Surgery

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“…One type was a line scanning device, such as the z-touch (BrainLAB, Feldkirchen, Germany) [9,14] or Fazer (Medtronic, Inc.) [10], which was usually included as part of a commercial neuronavigation system. The other type was a surface scanning device that scanned a 3D surface as a whole instead of several lines, such as the VI 900 (Minolta, Osaka, Japan) [16] or faceSCAN II (Breuckmann, Meersburg, Germany) [15]. Surface scanning devices are very expensive and are not an integral part of commercial neuronavigation systems; if neurosurgeons wish to use a surface scanning device, they have to purchase it separately and integrate it into the neuronavigation system themselves.…”

Section: Methodsmentioning

confidence: 99%

Properties of the target registration error for surface matching in neuronavigation

Wang

Song

2011

Computer Aided Surgery

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Objective: Surface matching is a relatively new method of spatial registration in neuronavigation. Compared to the traditional point matching method, surface matching does not use fiducial markers that must be fixed to the surface of the head before image scanning, and therefore does not require an image acquisition specifically dedicated for navigation purposes. However, surface matching is not widely used clinically, mainly because there is still insufficient knowledge about its application accuracy. This study aimed to explore the properties of the Target Registration Error (TRE) of surface matching in neuronavigation. Materials and Methods: The surface matching process was simulated in the image space of a neuronavigation system so that the TRE could be calculated at any point in that space. For each registration, two point clouds were generated to represent the surface extracted from preoperative images (PC image ) and the surface obtained intraoperatively by laser scanning (PC laser ). The properties of the TRE were studied by performing multiple registrations with PC laser point clouds at different positions and generated by adding different types of error. Results: For each registration, the TRE had a minimal value at a point in the image space, and the iso-valued surface of the TRE was approximately ellipsoid with smaller TRE on the inner surfaces. The position of the point with minimal TRE and the shape of the iso-valued surface were highly random across different registrations, and the surface registration error between the two point clouds was irrelevant to the TRE at a specific point. The overall TRE tended to increase with the increase in errors in PC laser , and a larger PC laser made it less sensitive to these errors. With the introduction of errors in PC laser , the points with minimal TRE tended to be concentrated in the anterior and inferior part of the head. Conclusion:The results indicate that the alignment between the two surfaces could not provide reliable information about the registration accuracy at an arbitrary target point. However, according to the spatial distribution of the target registration error of a single registration, enough application accuracy could be guaranteed by proper visual verification after registration. In addition, surface matching tends to achieve high accuracy in the inferior and anterior part of the head, and a relatively large scanning area is preferable.

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Image-to-patient registration by natural anatomical surfaces of the head

Cited by 3 publications

References 33 publications

A hybrid registration method using the mandibular bone surface for electromagnetic navigation in mandibular surgery

A hybrid registration method using the mandibular bone surface for electromagnetic navigation in mandibular surgery

Registration methods for surgical navigation of the mandible: a systematic review

Properties of the target registration error for surface matching in neuronavigation

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