Registration of head volume images using implantable fiducial markers

Maurer, Calvin R.; Fitzpatrick, J. Michael; Wang, M.Y.; Galloway, Robert L.; Maciunas, Robert J.; Allen, George S.

doi:10.1109/42.611354

Cited by 513 publications

(363 citation statements)

References 44 publications

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“…Three definitions of errors are usually used in point-matching: the fiducial localization error (FLE), the fiducial registration error (FRE), and the Target Registration Error (TRE). [12] In the rigid spatial registration of two spaces, for each point in one space, there is only one true corresponding point in the other space. The FLE is defined on fiducial points, and when the position of a fiducial point is determined in one space, the FLE of the point is the distance between its true corresponding point and the corresponding point that is selected by the surgeon in the other space.…”

Section: Three Definitions Of Errors In Point-matching Spatial Registmentioning

confidence: 99%

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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Section: Three Definitions Of Errors In Point-matching Spatial Registmentioning

confidence: 99%

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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“…Fiducial markers have been defined as external points used in 3D images and subsequently used for registration (Maurer et al, 1997).…”

Section: Registering 3d Imagesmentioning

confidence: 99%

The Validity of 3dMD Vultus in Predicting Soft Tissue Morphology Following Orthognathic Surgery

Ullah

Turner

Khambay

2014

British Journal of Oral and Maxillofacial Surgery

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Objectives:To determine the validity of 3dMD Vultus in predicting soft tissue morphology following orthognathic surgery. Methods:Thirteen patients with a skeletal discrepancy that required surgical correction limited to a Le Fort I surgical advancement osteotomy were included within the study. These patients had previously undergone a CBCT scan immediately before surgery (T1) and 6 months after surgery (T2).To permit validation, hard and soft tissues were linked for each time point and the hard tissues superimposed on the cranial vault and base. Using 3dMD Vultus virtual surgery was carried out to position the mandible and maxilla at T1 to the post-surgical position at T2. The resulting 3D soft tissue prediction mesh was then compared to the actual soft tissue mesh at T2 by segmenting both meshes at distinct anatomically areas of the face. The absolute distance between meshes for each region was then calculated using a custom developed computer program.

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“…For registration, the application accuracy for skin markers or anatomical landmarks is typically about 3 mm or worse [8], whereas bone-implanted markers inserted prior to preoperative imaging give a clinical accuracy of ∼0.7mm [4]. We have produced markers based on this system.…”

Section: Image-to-physical Registration and Patient Trackingmentioning

confidence: 99%

“…For registration we use fiducials that are based on the bone-implanted marker designs of Maurer et al [4]. A post is screwed into the skull.…”

Section: Equipmentmentioning

confidence: 99%

Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI)

Edwards

King

Maurer

et al. 1999

Medical Image Computing and Computer-Assisted Intervention – MICCAI’99

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Abstract. The problem of providing surgical navigation using image overlays on the operative scene can be split into four main tasks -calibration of the optical system; registration of preoperative images to the patient; tracking of the display system and patient and display using a suitable visualisation scheme. To achieve a convincing result in the magnified view through the operating microscope high alignment accuracy is required. We have simulated our entire system to establish the major sources of error. We have improved each of the stages involved. The microscope calibration process has been automated. We have introduced bone-implanted markers for registration and incorporated a locking acrylic dental stent (LADS) for patient tracking and/or registration. These improvements have significantly increased the alignment accuracy of our overlays. LADS repositioning on volunteers showed a mean target registration error of 0.7mm. Phantom accuracy is 0.3-0.5mm and clinical overlay errors were 0.5-1.0mm on the bone fiducials and 0.5-4mm on target structures. We have improved the graphical representation of the stereo overlays. The resulting system provides 3D surgical navigation for microscope-assisted guided interventions (MAGI).

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Registration of head volume images using implantable fiducial markers

Cited by 513 publications

References 44 publications

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

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

The Validity of 3dMD Vultus in Predicting Soft Tissue Morphology Following Orthognathic Surgery

Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI)

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