Surface matching for high-accuracy registration of the lateral skull base

Zhou, Chenfei; Anschuetz, Lukas; Weder, Stefan; Xie, Le; Caversaccio, Marco; Weber, Stefan; Williamson, Tom

doi:10.1007/s11548-016-1394-3

Cited by 22 publications

(14 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the immediate-term, this technology may be readily translated to open lateral skull base approaches. The accuracy of surface mapping in this context via manual tracer digitization has been described 28 . Optical topographical imaging would allow significantly faster automated surface registration for open lateral skull base procedures, while maintaining functionality using an operating microscope.…”

Section: Discussionmentioning

confidence: 99%

High Speed, High Density Intraoperative 3D Optical Topographical Imaging with Efficient Registration to MRI and CT for Craniospinal Surgical Navigation

Jakubovic

Guha

Gupta

et al. 2018

Sci Rep

View full text Add to dashboard Cite

Intraoperative image-guided surgical navigation for craniospinal procedures has significantly improved accuracy by providing an avenue for the surgeon to visualize underlying internal structures corresponding to the exposed surface anatomy. Despite the obvious benefits of surgical navigation, surgeon adoption remains relatively low due to long setup and registration times, steep learning curves, and workflow disruptions. We introduce an experimental navigation system utilizing optical topographical imaging (OTI) to acquire the 3D surface anatomy of the surgical cavity, enabling visualization of internal structures relative to exposed surface anatomy from registered preoperative images. Our OTI approach includes near instantaneous and accurate optical measurement of >250,000 surface points, computed at >52,000 points-per-second for considerably faster patient registration than commercially available benchmark systems without compromising spatial accuracy. Our experience of 171 human craniospinal surgical procedures, demonstrated significant workflow improvement (41 s vs. 258 s and 794 s, p < 0.05) relative to benchmark navigation systems without compromising surgical accuracy. Our advancements provide the cornerstone for widespread adoption of image guidance technologies for faster and safer surgeries without intraoperative CT or MRI scans. This work represents a major workflow improvement for navigated craniospinal procedures with possible extension to other image-guided applications.

show abstract

Section: Discussionmentioning

confidence: 99%

High Speed, High Density Intraoperative 3D Optical Topographical Imaging with Efficient Registration to MRI and CT for Craniospinal Surgical Navigation

Jakubovic

Guha

Gupta

et al. 2018

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Various methods for intraoperative acquisition of patient surface data for registration are limited by requirements for a direct line‐of‐sight, maintenance of a constant angle of incidence of the scanning beam, susceptibility to the illumination conditions, and anaesthetization status of the patient …”

Section: Introductionmentioning

confidence: 99%

“…Various modalities have been used to acquire intraoperative surface data with an optically tracked hand‐held probe, such as a mechanical pointer, or ultrasound . More advanced technologies, like positron imaging or conoscopic holography, achieve improved quality of the data and automatic removal of imaging artifacts.…”

Section: Introductionmentioning

confidence: 99%

Vector field analysis for surface registration in computer‐assisted ENT surgery

Diakov

Freysinger

2019

Robotics Computer Surgery

View full text Add to dashboard Cite

Background Manual paired‐point registration for navigated ENT‐surgery is prone to human errors; automatic surface registration is often caught in local minima. Methods Anatomical features of the human occiput are integrated into an algorithm for surface registration. A vector force field is defined between the patient and operating room datasets; registration is facilitated through gradient‐based vector field analysis optimization of an energy function. The method is validated exemplarily on patient surface data provided by a mechanically positioned A‐mode ultrasound sensor. Results Successful registrations were achieved within the entire parameter space, as well as from positions of local minima that were found by the Gaussian fields algorithm for surface registration. Sub‐millimetric registration error was measured in clinically relevant anatomical areas on the anterior skull and within the generally accepted margin of 1.5 mm for the entire head. Conclusion The satisfactory behavior of this approach potentially suggests a wider clinical integration.

show abstract

“…For lateral otorhinolaryngologic skull base surgery with retroauricular bone exposure, surface matching of the temporal bone and mastoid has been proposed by Zhou et al [37].…”

Section: Discussionmentioning

confidence: 99%

Challenging the osseous component of sphenoorbital meningiomas

et al. 2019

View full text Add to dashboard Cite

BackgroundIntraosseous growth is a unique feature of sphenoorbital meningiomas (SOM). Its close relation to neurovascular structures limits complete surgical resection and possibly contributes to the high recurrence rate.ObjectiveTo evaluate the growth behavior of intraosseous remnants and develop a protocol for precise intraoperative visualization of intraosseous SOM.MethodsWe included 31 patients operated for SOM from 2004 to 2017. The growth velocity of the intraosseous tumor component was volumetrically calculated in 20 cases. To improve accuracy of image guidance, we implemented a specialized bone surface-based registration algorithm. For intraoperative bone visualization, we included CT in multimodality continuous image guidance in 23 patients. The extent of resection (EOR) was compared with a standard MR-only navigation group (n = 8).ResultsIn 11/20 cases (55%), a progressive regrowth of the intraosseous SOM remnant was noted during a mean follow-up of 52 months (range 20–132 months). We observed a mean increase of 6.2 cm3 (range 0.2–23.7 cm3) per patient and side during the follow-up period. Bone surface-based registration was significantly more accurate than skin surface-based registration (mean 0.7 ± 0.4 mm and 1.9 ± 0.7 mm, p < 0.001). The EOR of the intraosseous component was significantly higher using CT + MRI navigation compared with controls (96% vs. 81%, p = 0.044).ConclusionQuantitative assessment of the biological behavior of intraosseous remnants revealed a continuous slow growth rate independent of the soft tumor component of more than half of SOM. According to our data, application of a multimodal image guidance provided high accuracy and significantly increased the resection rate of the intraosseous component of SOM.

show abstract

Surface matching for high-accuracy registration of the lateral skull base

Cited by 22 publications

References 17 publications

High Speed, High Density Intraoperative 3D Optical Topographical Imaging with Efficient Registration to MRI and CT for Craniospinal Surgical Navigation

High Speed, High Density Intraoperative 3D Optical Topographical Imaging with Efficient Registration to MRI and CT for Craniospinal Surgical Navigation

Vector field analysis for surface registration in computer‐assisted ENT surgery

Challenging the osseous component of sphenoorbital meningiomas

Contact Info

Product

Resources

About