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Accuracy of surface registration in cranial electromagnetic navigation

Annette Runge

Department of Otolaryngology- Head and Neck Surgery, Medical University of Innsbruck, Austria

E-mail : bhuvaneswari.bibleraaj@uhsm.nhs.uk

Teresa Steinbichler

Department of Otolaryngology- Head and Neck Surgery, Medical University of Innsbruck, Austria

Aristeidis Giotakis

Department of Otolaryngology- Head and Neck Surgery, Medical University of Innsbruck, Austria

Volker Schartinger

Department of Otolaryngology- Head and Neck Surgery, Medical University of Innsbruck, Austria

Romed Hörmann

Department for Anatomy, Histology and Embryology, Medical University of Innsbruck, Austria

Herbert Riechelmann

Department of Otolaryngology- Head and Neck Surgery, Medical University of Innsbruck, Austria

Wolfgang Freysinger

Department of Otolaryngology- Head and Neck Surgery, Medical University of Innsbruck, Austria

DOI: 10.15761/OHNS.1000169

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Abstract

Purpose: We evaluated the accuracy of surface registration with and without additional landmark registration during cranial electromagnetic navigation. Results were referenced to point by point registration with bone anchored fiducials.

Methods: Using a commercially available electromagnetic navigation system, 4 rhinologic surgeons applied surface registration alone (SurfReg) and surface registration with additional anatomic landmarks (CombReg) in a macerated human skull. Point by point registration using bone anchored fiducials (RefReg) served as reference. Target registration error (TRE) served as a measure for accuracy. For TRE calculation, 16 landmarks on the viscerocranium, the frontal skull base and the middle cranial fossa were touched with a probe and the distance of the probe and the target was measured on a screenshot of the corresponding CT image in three planes. A mixed regression model with registration mode as fixed factor and examiner and target as random factors was used.

Results: Mean (95% CI) TRE for SurfReg was 1.12 (0.86 to 1.39) mm and 1.21 (0.94 to 1.47) mm for CombReg (p=0.13). TRE of the RefReg was significantly lower (0.91 mm; 0.64 to 1.18; p<0.001). TRE varied significantly depending on target screw position. TRE did not vary significantly among different examiners.

Conclusion: Surface registration is considered sufficiently accurate for clinical application during FESS and frontal skull base surgery. Additional landmarks did not improve accuracy when compared with surface registration alone. Additional time for landmark registration can therefore be spared.

Key words

computer assisted surgery, natural orifice endoscopic surgery, electromagnetic fields, data measurement accuracy

Introduction

Electromagnetic surgical navigation systems improve and facilitate orientation in difficult anatomic settings such as the paranasal sinuses and the anterior skull base. The surgeon can move the instruments freely without dependence on an uninterrupted line of sight [1-3]. Electromagnetic navigation may replace optical navigation, which according to some studies yields better tracking accuracy [2,4], because algorithms have been developed to reduce the interference of ferromagnetic objects within the magnetic transmitter field and to improve accuracy in electromagnetic navigation [5,6]. The key to accurate intraoperative navigation is registration, i.e. aligning preoperative radiologic images with the patient’s anatomy at the current position in the surgical theatre [7]. Depending on the kind of reference used, patient registration may be subdivided in three groups. Headframes are applied for neurosurgical and neuroradiological interventions and fixate the patient’s head as well as the instruments for accurate treatment without damage of surrounding tissue [8]. Point by point registration uses anatomical landmarks or fiducial markers attached to bone or skin. A targeting device, for instance a pointer, is used to measure positions of markers while its position is tracked by a computer system that also holds the image data. After registration the position of the device is displayed in image data on the computer screen [9]. In general, fiducials provide better accuracy than anatomical landmarks [10]. Skin adhesive fiducials are subject to skin shift intraoperatively. Application of bone anchored fiducials is invasive. Both bone anchored, and skin adhesive fiducials require additional CT scans preoperatively. The third mode of registration is surface registration where the patient’s face is digitized with a 3D tracker and registered to the preoperative state 3D surface [7,11]. Like point by point registration using anatomical landmarks, surface registration does not require additional radiologic imaging and is noninvasive.

Target Registration Error (TRE) is the pertinent measure for tracking accuracy [12]. It defines the distance between the landmark on the CT dataset and the coordinates indicated by the tracking system when pointing to the corresponding landmark which was not used for registration [13,14]. Current data comparing different registration modes in electromagnetic tracking suggest that point by point registration using bone anchored fiducials results in lowest TRE, i.e. best accuracy [15,16]. Some surgical navigation systems offer the possibility to use both, surface registration and in addition point by point landmark registration in the same run [16]. In this study we investigated if combined surface and point by point landmark registration (CombReg) provides better accuracy than surface registration alone (SurfReg) at the paranasal sinuses and the frontal skull base. Point by point registration with bone anchored fiducial markers (RefReg) served as a reference.

Material and methods

For this experimental study, a macerated human skull was provided by the Department of Anatomy, Medical University of Innsbruck. To obtain access to the frontal skull base, the calvarium was partly removed. Altogether, 16 prominent fiducial sites of the viscerocranium and the anterior skull base were marked with titanium screws measuring 1 mm in diameter (Leibinger, Freiburg, Germany; Table 1). A CT scan with a slice thickness of 1 mm (Somatom Definition Flash, Siemens, Erlangen, Germany) was performed and image data were transferred to the navigation system’s internal storage (Stealth System S7, AxiEM System, Medtronic, Louisville, CO, USA).

Set up

All experiments were performed in the surgical theatre to account for possible electromagnetic disturbances. The skull was placed on an operating table. The electromagnetic navigation system was set up as done during endoscopic skull base surgery. The magnetic field emitter was fixed to the operating table within close proximity to the skull. A self-adhesive dynamic reference frame was attached to the forehead and a non- ferromagnetic pointer was supplied with an electromagnetic sensor. Both appliances were connected to the electromagnetic control unit. All program applications and CT data could be viewed on a monitor opposing the surgeon.

Study design

Four ENT surgeons applied 3 registration methods in a random order: surface registration alone (SurfReg), registration of both anatomical landmarks and surface (CombReg) and registration of bone anchored fiducials as the reference method (RefReg). For SurfReg, the surgeon traced the outlines of the orbital rims and the nose using the tracked pointer. During CombReg, the nasion, the anterior nasal spine and the left supraorbital foramen served as landmarks in addition to surface registration. For registration with bone anchored fiducial markers (RefReg), six fiducials were manually marked on the CT image and then identified on the skull with the registration probe. Fiducials included screws in at the nasofrontal suture, the anterior nasal spine as well as the screw pairs on the frontal processes of the maxilla and zygomaticofrontal sutures. RefReg was complete when the predicted fiducial registration error was estimated less than 1.2 mm by the navigation system [17].

To assess operator related variability of registration, each of the 4 ENT-surgeons replicated the whole process of registration with each registration and measured each of the 16 targets mode 10 times. For TRE measurements, the deviation of the tip of the pointer from actual fiducial sites was measured. This was accomplished by touching the center of the titanium screws with the registration probe and taking a screen shot of the corresponding CT images. Distance between the actual screw center and navigated position of the pointer was measured in axial, coronal and sagittal planes. Thus, for each landmark, measurements in 3 dimensions (anterior/posterior; left/right and superior/inferior) were taken to calculate the Target Registration Error (TRE) (Figure 1).

Figure 1. A screenshot was taken by switching off the electromagnetic emitter after touching a screw. The distance between the actual center of the screw head and the navigated position of the pointer, visible as the center of the red coordinate system, were measured manually by the examiner.

Data analysis

Raw data were the deviations of the tracer position from the target screw in the 3 orthogonal planes in millimeters. Deviations to the right, to posterior and to superior were coded positively, deviations to the left, to anterior and to inferior were coded negatively. The Euclidean distances in the 3 planes were calculated and taken as the TRE. In a next step, the measurement repeats of each registration were averaged to obtain 1 TRE value per user, target screw and registration mode. Coefficients of variation in percent were calculated to estimate operator related variability. Finally, TRE was used as the outcome variable in a linear mixed model with registration mode as a fixed effect. Target screw and operator were included as random effects. Variance components was used as covariance structure. Restricted maximum likelihood was used for calculations [18].

Results

TRE and registration mode

Mean TRE (95% CI) was 1.12 (0.86 to 1.39 mm) with SurfReg and 1.21 mm (0.94 to 1.47 mm) using CombReg (p=0.13; Table 1). TRE of the reference method (RefReg using fiducials) was significantly smaller (0.91 mm; 95% CI 0.64 to 1.18 mm) than TRE of the 2 non-fiducial registration modes (p<0.001). In the applied mixed model, random effects caused a residual TRE variance of 0.17 mm. The variance differed significantly from zero for the 16 target screws (28% of total variance; p=0.02), whereas TRE variance for the 4 operators was not significantly different from zero (18% of total variance; p=0.25).

Table 1. Average TRE depending on registration method. displays the average Target Registration Error (TRE) for each registration method calculated from all individual measurements performed after each course of registration. 

Registration

Mean

Standard error

95% Confidence interval

Lower Bound

95% Confidence interval

Upper bound

SurfReg

1.12

0.11

0.86

1.39

CombReg

1.21

0.11

0.94

1.47

RefReg

0.91

0.11

0.64

1.18

TRE and target position

Using target screw position as a fixed factor and operator and registration mode as random factors, TRE differed significantly depending on target screw position (p<0.001). The smallest TRE was observed at the nasofrontal suture (0.61 mm), the highest at the left zygomatic arch (2.11 mm) (Table 2; Figure 2). TRE variance of target screw position did not significantly differ from zero for operator (p=0.25) and for registration mode (p=0.35).

Table 2. Mean TRE at the 16 target screws, displays the Target Registration Error (TRE) measured at 16 fiducial sites using surface registration (SurfReg) and surface registration in combination of anatomical landmarks (CombReg). In addition. the reference method. registration of bone anchored fiducials (RefReg) was performed. All fiducial sites mentioned in the first column were marked by titanium screws.

Measuring point

TRE SurfReg

TRE CombReg

TRE RefReg1)

right zygomaticofrontal suture

0.78

0.91

0.94

left zygomaticofrontal suture

0.78

0.97

0.71

nasofrontal suture

0.61

0.78

0.76

anterior nasal spine

1.31

1.15

1.04

right frontal process of maxilla

1.03

0.93

0.6

left frontal process of maxilla

1.18

1.24

0.75

right lesser wing of sphenoid

1.07

0.92

0.98

left lesser wing of sphenoid

1.1

0.86

0.94

right zygomatic arch

1.46

1.43

1.35

left zygomatic arch

1.47

2.11

1.3

floor of sphenoid sinus

1.05

1.38

1.13

right posterior wall of frontal sinus

1.31

1.69

0.84

left posterior wall of frontal sinus

1.1

1.29

0.8

right cribriform plate

1.29

1.26

0.75

left cribriform plate

1.08

1.03

0.9

fossa of pituitary gland

1.51

1.46

0.77

1)Reference method

Figure 2.  The x- axis lists the landmarks by ascending screw numbers, the y- axis contains the Target Registration Error of each measuring point in mm. Each line depicts one registration mode (see labeling legend).

To analyze, if posterior or lateral targets have lower TRE than anterior and medial targets, the distances from the facial plane (anterior/posterior) and from the mid-plane (left/right) were ranked. TRE of corresponding lateral targets of the right and left side were averaged resulting in 10 distance ranks. No correlation of ranked distances from the facial-plane or the mid-plane and TRE was observed.

Variability of repeated registrations

All measurements were performed in 10 replicates. For each replicate, the whole process of registration and subsequent TRE determination was performed by each of the 4 operators. Coefficient of variation in percent (CV) was used to express variability of replicated measurements. For CV analysis, a mixed model was used just as described for TRE analysis. Overall, mean CV was 38% (95% CI 27% to 50%). Registration mode (p>0.2) and target position (p=0.13) had no influence on CV. 

Discussion

We studied surface-based registration modes with and without additional registration of anatomical landmarks in electromagnetic tracking at the paranasal sinuses and frontal skull base. Surface based registration modes reflect common clinical practice, mainly because it does not require fiducial positioning before preoperative image acquisition. Consequently, routine computer tomography performed for preoperative diagnosis suffices as image data for intraoperative navigation. Surface registration can be supplemented by point by point registration using anatomical landmarks aiming to improve navigation accuracy. Anatomical landmarks are also defined without pre-CT fiducial positioning. Target registration error (TRE) served as outcome parameter for accuracy [19,20]. Position of 16 targets and performance of 4 operators were included as random factors.

Addition of landmark registration to surface registration did not improve accuracy

We observed a mean TRE of 1.12 mm for SurfReg and 1.21 mm for CombReg (p=0.13). This means that addition of landmarks to surface registration did not improve accuracy of surgical navigation. Overall, the TRE values observed in this study were within the range reported in other studies of electromagnetic registration [13,15,21-24]. We were also interested, how accuracy of surface registration compares to the reference registration mode using bone anchored fiducials applied before the preoperative CT scan. Surface registration without fiducials yielded significantly worse TRE values than the reference method (0.91 mm; p<0.001). However, the advantages of surface registration justify, in our opinion, this low loss of accuracy. The observed difference in navigation accuracy of 0.2-0.3 mm was considerably lower than previously reported. Soteriou et al. [22] compared several registration modes, including bone anchored fiducial markers, surface registration and anatomic landmarks. Point by point registration using bone anchored fiducials resulted in highest accuracy (TRE=0.94 ± 0.06 mm), whereas surface registration gained an approx. 70% higher TRE (1.59 ± 0.14 mm), and registration of anatomic landmarks resulted in an up to 346% higher mean TRE (4.2 ± 0.73). Ledderose et al. [25] observed a mean TRE of 0.33 mm for registration with bone anchored fiducials, whereas surface registration resulted in a higher mean TRE of 1.9 mm. (approx. 475% worse). A difference of 1.7 vs. 4.0 mm (135%) between bone anchored fiducials and surface registration was found during intracranial navigation by Mascott et al. [26].

Sources of error

There are certain potential sources of error during registration regardless of registration mode. One potential source of error is reproducibility of patient registration. A coefficient of variation of TRE of almost 40% in 10 repeats of the registration process of each individual user is considered a substantial variability. In contrast, variance of TRE among users was not significant, meaning that no individual user outperformed the others.

2021 Copyright OAT. All rights reserv

Another potential source of error is the target distance from the facial plane and mid-plane. An anterior/posterior and left/right ranking did not bring forth any correlation with TRE. This is in contrast with some other studies, where an increase in TRE was observed when targeting more posteriorly located fiducial sites [13], whereas Komune et al. [15] found no difference in TRE depending on the location in lateral skull base surgery. Possible reasons for these diverging results may be the use of different navigation systems as well as varying distances between the fiducial target sites and the reference frame among the various study groups.  However, the least mean TRE was generated at the nasofrontal suture (0.61 mm), followed by anatomic structures of the orbital conus, structures, which are close to the area of registration, as supported by the findings of Ahmadian et al. [24] and Li et al. [27]. The largest TRE was measured on both zygomatic arches (1.41 and 2.11 mm). Those landmarks were at the most lateral positions in the electromagnetic field, where accuracy in electromagnetic tracking has been shown to be weak [28,29].

User localization and fiducial localization error

User Localization Error is the pure user error of physically placing the probe into fiducials or anatomic landmarks [17]. Anatomical structures or fiducial sites may have been confused with bony structures during measurements when the target was not clearly visible in all planes as described by Chang and coworkers [30]. Human factors influence accuracy during pointing for registration, such as muscular fatigue resulting in increased positioning tremor [31,32]. With or without fiducial markers, misidentification can occur using surgical navigation systems. Shift or even dislocation of the reference frame may occur, with resulting loss of accuracy correlation with an increasing time span between registration and application of navigation. [33]. The fiducial localization error (FLE) describes the error made when localizing loci for registration in image space and on the patient. The pointer was not always aimed at the center of the screw head at an exact 90º angle. A wider surface contact and an eccentric location of the actual instrument’s tip may result in loss of pointing accuracy [20].

Conclusion

The absolute values of mean TRE of both, SurfReg and CombReg suggest clinically practicable registration accuracy when compared to the much more invasive reference method. As there is no accuracy improvement adding anatomical landmark registration to surface registration, this additional effort may be spared. If optimal accuracy is mandatory, the surgeon should consider implanted fiducial markers and optical navigation.

References

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Editorial Information

Editor-in-Chief

Chin-Lung Kuo

Article Type

Research Article

Publication history

Received date: April 05, 2018
Accepted date: April 20, 2018
Published date: April 23, 2018

Copyright

© 2018 Runge A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

Runge A, Steinbichler T, Giotakis A, Schartinger V, Hörmann R, et al. (2018) Accuracy of surface registration in cranial electromagnetic navigation. Otorhinolaryngol Head Neck Surg 3: DOI: 10.15761/OHNS.1000169

Corresponding author

Annette Runge

Department of Otolaryngology-Head and Neck Surgery, Medical University of Innsbruck, Anichstr, 356020 Innsbruck, Austria

E-mail : bhuvaneswari.bibleraaj@uhsm.nhs.uk

Figure 1. A screenshot was taken by switching off the electromagnetic emitter after touching a screw. The distance between the actual center of the screw head and the navigated position of the pointer, visible as the center of the red coordinate system, were measured manually by the examiner.

Figure 2.  The x- axis lists the landmarks by ascending screw numbers, the y- axis contains the Target Registration Error of each measuring point in mm. Each line depicts one registration mode (see labeling legend).

Table 1. Average TRE depending on registration method. displays the average Target Registration Error (TRE) for each registration method calculated from all individual measurements performed after each course of registration. 

Registration

Mean

Standard error

95% Confidence interval

Lower Bound

95% Confidence interval

Upper bound

SurfReg

1.12

0.11

0.86

1.39

CombReg

1.21

0.11

0.94

1.47

RefReg

0.91

0.11

0.64

1.18

Table 2. Mean TRE at the 16 target screws, displays the Target Registration Error (TRE) measured at 16 fiducial sites using surface registration (SurfReg) and surface registration in combination of anatomical landmarks (CombReg). In addition. the reference method. registration of bone anchored fiducials (RefReg) was performed. All fiducial sites mentioned in the first column were marked by titanium screws.

Measuring point

TRE SurfReg

TRE CombReg

TRE RefReg1)

right zygomaticofrontal suture

0.78

0.91

0.94

left zygomaticofrontal suture

0.78

0.97

0.71

nasofrontal suture

0.61

0.78

0.76

anterior nasal spine

1.31

1.15

1.04

right frontal process of maxilla

1.03

0.93

0.6

left frontal process of maxilla

1.18

1.24

0.75

right lesser wing of sphenoid

1.07

0.92

0.98

left lesser wing of sphenoid

1.1

0.86

0.94

right zygomatic arch

1.46

1.43

1.35

left zygomatic arch

1.47

2.11

1.3

floor of sphenoid sinus

1.05

1.38

1.13

right posterior wall of frontal sinus

1.31

1.69

0.84

left posterior wall of frontal sinus

1.1

1.29

0.8

right cribriform plate

1.29

1.26

0.75

left cribriform plate

1.08

1.03

0.9

fossa of pituitary gland

1.51

1.46

0.77

1)Reference method