Image-to-patient registration techniques in head surgery

Eggers, Georg; Mühling, Joachim; Marmulla, Rüdiger

doi:10.1016/j.ijom.2006.09.015

Cited by 204 publications

(145 citation statements)

References 172 publications

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“…Correct registration is the key element to accurate surgical navigation (Eggers et al, 2006) because has direct repercussions on the precision of all subsequent navigation tasks (Luebbers et al, 2008). Insecurity, however, still surrounds registration strategy.…”

Section: Introductionmentioning

confidence: 99%

Registration for computer-navigated surgery in edentulous patients: A problem-based decision concept

Lübbers

Matthews

Zemann

et al. 2011

Journal of Cranio-Maxillofacial Surgery

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BACKGROUND: Surgical navigation is a commonly used tool in cranio-maxillofacial surgery. Registration is the key element for precision, and a number of studies have shown different techniques to be accurate. Nonetheless, uncertainty surrounds the special situation in edentulous patients and a practical approach to what can be a challenging problem. MATERIALS AND METHODS: Four registration strategies for the Brainlab VectorVision(2) system are presented for surgical navigation of edentulous patients: three landmark-based, point-to-point techniques and one surface-based matching strategy are evaluated. RESULTS: The methods described differ in overall accuracy as well as in the region covered. In general, the more time-consuming and invasive the technique, the more precise it is. The non-invasive techniques are less precise, and they cover only small regions with sufficient accuracy. CONCLUSIONS: Taking into account which type of accuracy is clinically relevant and that the whole skull does not always need to be covered with the greatest possible accuracy, all the described techniques have their indications. The simpler and less invasive techniques can spare time, decrease costs, and harm patient. A decision tree is presented to the reader.

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Section: Introductionmentioning

confidence: 99%

Registration for computer-navigated surgery in edentulous patients: A problem-based decision concept

Lübbers

Matthews

Zemann

et al. 2011

Journal of Cranio-Maxillofacial Surgery

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“…We studied three types of C sm : [3,3,0], [3,3,1] and [3,3,2]. For each type of C sm , we added three different combinations of facial ALs: one AL (nose tip), two ALs (nose tip and nasion) or three ALs (nose tip, nasion and bilateral lateral canthus).…”

Section: Simulation Of Adding Facial Alsmentioning

confidence: 99%

“…We studied four types of C sm : [0, 3,2], [1,3,2], [2,3,2] and [3,3,2]. For each type of C sm , we added two combinations of …”

Section: Simulation Of Adding Lateral Alsmentioning

confidence: 99%

“…The distributions of the TRE csm of SM configuration types [3,3,0], [3,3,1] and [3,3,2] and the TRE cal of the corresponding fiducial configurations obtained by adding different combinations of facial ALs are illustrated in Figure 2. Regardless of the presence of SMs in the Anterior Region, the TRE cal of the configurations with additional facial ALs always falls into a lower and narrower range than the TRE csm of the corresponding configuration using only SMs.…”

Section: Simulation Of Adding Facial Alsmentioning

confidence: 99%

“…[1,2] Point-matching and surface-matching are two types of methods that are used for registration of neuronavigation, and the first kind, point-matching, is more widely used clinically. [3] In point-matching, the surgeons first select a set of fiducial points on the images and then select a set of spatially corresponding points on the patient's head. After the points have been selected, closed form methods can be used to calculate a rigid spatial transformation to align the corresponding points so that when they are transformed into the same coordinate system, the root mean square distance between the corresponding points is minimized.…”

Section: Introductionmentioning

confidence: 99%

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How does adding anatomical landmarks as fiducial points in the point-matching registration of neuronavigation influence registration accuracy?

Wang

Song

2016

Computer Assisted Surgery

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Skin markers (SMs) are usually used as fiducial points in registration of neuronavigation, but the areas in which they can be adhered to are restricted, which usually results in poor distribution of the SMs and a large registration error. In this research, we studied whether the registration accuracy can be improved by adding anatomical landmarks (ALs), which are thought to have a larger localization error than SMs. A series of random SM configurations were generated, and for each SM configuration, we generated a corresponding SM-AL configuration by adding several ALs. We then compared the accuracy of the point-matching registration of the SM configurations with that of the corresponding SM-AL configurations. Experiment results indicated that adding ALs always made the mean target registration error of the whole head fall into a lower and narrower range, which meant that the registration became more accurate and more stable. In addition, adding more ALs resulted in a better performance. ARTICLE HISTORY

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