Registration of MR and CT images for skull base surgery using point-like anatomical features

Hill, Derek L. G.; Hawkes, David J.; Crossman, John; Gleeson, Michael; Cox, Timothy C.; Bracey, E. E. C. M. L; Strong, Anthony J.; Graves, P.

doi:10.1259/0007-1285-64-767-1030

Cited by 191 publications

(96 citation statements)

References 11 publications

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“…These early registration methods primarily used rigid registration algorithms, which assume that between image acquisitions, the anatomical structures of interest have not distorted due to image acquisition or biological change (Pelizzari et al, 1989). Rigid registration methods by their nature are linear transformations based on algorithms which do not alter the target image to achieve a complete registration (Hill et al, 1991).…”

Section: Rigid and Non-rigid Registrationmentioning

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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Section: Rigid and Non-rigid Registrationmentioning

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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“…In this paper we will concentrate on the structure found in MR-PET and MR-MR combinations. All data was initially registered using our interactive point landmark system [2]. The MR-PET image pair consisted of a Tl weighted (voxel size 0.859mm x 0.859mm x 2.5mm) MR acquisition and an FDG (voxel size 2.0mm x 2.0mm x 3.75mm) PET scan.…”

Section: Feature Spaces Of Clinically Acquired Imagesmentioning

confidence: 99%

“…One approach to registering visually similar images is to manually or automatically locate a small number of equivalent features such as points or surfaces present in both modalities [1,2,3,4,5,6]. This requires either a considerable amount of user interaction or a solution to the difficult problem of reliably and automatically segmenting the same feature from different modalities.…”

Section: Introductionmentioning

confidence: 99%

Using Voxel Similarity as a Measure of Medical Image Registration

Studholme¹,

Hill²,

Hawkes³

1994

Procedings of the British Machine Vision Conference 1994

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In this paper we present our work on using intensity feature spaces to study the relationship between voxel values in registered and unregistered medical images. By taking a simple image model we predict structures that we might expect to find in an intensity feature space produced from different modality images of the same scene. We show how this structure will be modified by image noise, misregistration and differing point spread functions of the two modalities. We show examples of such structure in feature spaces created from clinically acquired Magnetic Resonance (MR) and Positron Emission Tomography (PET) image data. We show how two simple measures of voxel similarity based on these feature space observations, a modified variance of intensity ratio and the 3rd order moment of the feature space histogram, can be used to quantify image misregistration. The 3rd order moment measure is then used with a genetic optimisation algorithm to automatically register pre and post Gadolinium injection MR images.

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“…Criteria for choosing anatomical points have been suggested by Hill et al 9 They propose any point -like structures, (e.g., the apical turn of the cochlea; the intersection of two linear structures, such as blood vessel bifurcations, the intersection of a surface with a linear structure, as where a nerve passes through a foramen or the intersection of three surfaces). In our experience, the anterior clinoid process (as indicated in Figure 3), the apex of the internal auditory canal and the promontory of the inner ear have proved most useful.…”

Section: Le Journal Canadien Des Sciences Neurologiquesmentioning

confidence: 99%

Frameless Stereotaxy for Pre-treatment Planning and Post-treatment Evaluation of Radiosurgery

Schwartz

Ramaseshan

O’Brien

et al. 1994

Can. j. neurol. sci.

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In our centre, 111 patients have been treated with linear accelerator stereotactic radiosurgery. Angiographic, CT and MRI images are generated and the target coordinates calculated in 3 dimensions. For CT scanning, cross sections of perpendicular and oblique fiducial markers are seen. For follow-up CT scans done without the frame, a virtual frame is generated by means of a computer program that places fiducial markers on each CT scan cut, as if the patient had been wearing the OBT frame and the scan produced with the gantry parallel to the base of the frame. The position of the oblique marker may be calculated by knowing the thickness and position of each CT cut. Various natural fiducial markers (bony landmarks) are identified by coordinates in the scan with the patient wearing the real frame and in the scan with the virtual frame applied. A transformation matrix is utilized to establish the equivalence between the original CT scan with the real frame applied and subsequent scans without the real frame but with the virtual frame applied. In effect, the virtual frame is re-applied in exactly the same position as the real frame. Lesion measurements may then be duplicated and growth or regression accurately established. The uncertainty in this system of re-application resides in possible patient movement, CT scan slice thickness and inter-observer error in the identification of natural fiducial markers.Resume: Stereotaxic sans cadrage dans la planification avant traitement et revaluation apres traitement de la radiochirurgie. Cent onze patients ont ete traites dans notre centre par radiochirurgie stereotaxique au moyen d'un accelerateur lineaire. Les images angiographiques, tomodensitometriques et centre par resonance magnetique nucleaire sont generees et les coordonnes de la cible sont calcules en trois dimensions. Pour la tomodensitometrie, des coupes des marqueurs fiduciels en perpendiculaire et en oblique sont visualisees. Pour la tomodensitometrie faite sans cadrage au cours du suivi, un cadrage virtuel est genere au moyen d'un programme informatique qui place les marqueurs fiduciels sur chaque coupe, comme si le patient avait prote le cadrage OBT et le scan est produit avec le pont roulant en position parallele a la base du cadrage. La position du marqueur oblique peut etre calculee en connaissant I'epaisseur et la position de chaque coupe. Differents marqueurs fiduciels naturels (points de repere osseux) sont identifies par des coordonnes sur le scan alors que le patient porte le vrai cadrage et sur le scan alors que le cadrage virtuel est applique. Une transformation matricielle est utilisee pour etablir l'equivalence entre le scan original fait avec le cadrage reel et les scans subsequents faits avec le cadrage virtuel, sans le cadrage reel. En fait, le cadrage virtuel est rapplique exactement dans la meme position que le cadrage reel. Les measures des lesions peuvent alors etre reproduites et on peut evaluer exactement la progression ou la regression. L'incertitude de ce systeme est liee a la po...

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Registration of MR and CT images for skull base surgery using point-like anatomical features

Cited by 191 publications

References 11 publications

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

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

Using Voxel Similarity as a Measure of Medical Image Registration

Frameless Stereotaxy for Pre-treatment Planning and Post-treatment Evaluation of Radiosurgery

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