Application Accuracy of Automatic Registration in Frameless Stereotaxy

dc.contributor.authorRachinger, Jens
dc.contributor.authorKeller, Boris von
dc.contributor.authorGanslandt, Oliver
dc.contributor.authorFahlbusch, Rudolf
dc.contributor.authorNimsky, Christopher
dc.date.accessioned2013-03-14
dc.date.available2023-10-06T14:41:30Z
dc.date.created2006
dc.date.issued2013-03-14
dc.description.abstractObjective: We compared the application accuracy of an infrared- based neuronavigation system when used with a novel automatic registration with its application accuracy when standard fiducial-based registration is performed. Methods: The automatic referencing tool is based on markers that are integrated in the headrest holder we routinely use in our intraoperative magnetic resonance imaging (MRI) setting and can be detected by the navigation software automatically. For navigation targeting we used a Plexiglas phantom with 32 notched rods of different heights. The phantom was fixed in the head holder and multiple optimized gradient echo slices containing the clamp-integrated markers were acquired. After that we measured a T 1 MPRAGE sequence with a slice thickness of 1.0 mm for navigation. The deepest points of the surface of the rods were defined as target points in image space. In three measurement series we referenced the phantom once with 4, once with 7 fiducials and twice automatically. In one series we performed only one automatic registration. The localization error was measured 3 times per rod and registration. Results: The median localization errors for standard registration with 7 fiducials were between 1.2 and 3.05 mm. With 4 fiducials, me- dians were in the range from 1.87 to 2.21 mm. For the automatic registration we obtained median localization errors between 0.88 and 2.13 mm. In 6 of the 8 samples that were compared the automatic registration showed an application accuracy that was highly significantly better (p ! 0.001 in most cases) than that of fiducial-based standard registration. Conclusion: The application accuracy found for automatic referencing is at least not worse than that for standard registration no matter whether 4 or 7 fiducial markers were used. Therefore, its use in the operating room is feasible. In combination with intraoperative MRI it may become a favorable alternative to standard fiducial-based registration especially when an intraoperative update of navigation data is necessary.en
dc.identifier.citationStereotactic and Functional Neurosurgery 2006; 84: 109-117. <http://content.karger.com/ProdukteDB/produkte.asp?typ=pdf&doi=94462> © 2006 S. Karger AG, Basel
dc.identifier.opus-id3105
dc.identifier.urihttps://open.fau.de/handle/openfau/3105
dc.identifier.urnurn:nbn:de:bvb:29-opus-43578
dc.language.isoen
dc.subjectApplication accuracy
dc.subjectIntraoperative magnetic resonance imaging
dc.subjectRegistration
dc.subjectStereotaxy
dc.subject.ddcDDC Classification::6 Technik, Medizin, angewandte Wissenschaften :: 61 Medizin und Gesundheit :: 610 Medizin und Gesundheit
dc.titleApplication Accuracy of Automatic Registration in Frameless Stereotaxyen
dc.typearticle
dcterms.publisherFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
local.journal.titleStereotactic and Functional Neurosurgery 2006; 84: 109-117. <http://content.karger.com/ProdukteDB/produkte.asp?typ=pdf&doi=94462> © 2006 S. Karger AG, Basel
local.sendToDnbfree*
local.subject.fakultaetMedizinische Fakultät / Medizinische Fakultät -ohne weitere Spezifikation-
local.subject.gnd-
local.subject.sammlungUniversität Erlangen-Nürnberg / Nationallizenzen: Alle Beiträge sind mit Zustimmung der Rechteinhaber aufgrund einer DFG-geförderten Nationallizenz frei zugänglich. / Nationallizenzen 2006
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