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Registration of 3D Photographs with Spiral CT Images for Soft …
- https://rd.springer.com/chapter/10.1007/3-540-45468-3_118
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Registration of 3D Photographs with Spiral CT Images for Soft …
- https://www.semanticscholar.org/paper/Registration-of-3D-Photographs-with-Spiral-CT-for-Groeve-Schutyser/8ae87c5d3c108c13ef545e9620d8e56167c02b4c
- This paper presents a method for registration of 3D photographs with 3D CT images, to provide the patient with a realistic view of the natural complexion of the simulated postoperative outcome of his/her face. Prediction of the facial outcome after maxillofacial surgery is not only of major interest for surgeons but also for patients. A mirrorlike image of the expected surgical …
Registration of 3D Photographs with Spiral CT Images for Soft …
- https://www.researchgate.net/publication/221401381_Registration_of_3D_Photographs_with_Spiral_CT_Images_for_Soft_Tissue_Simulation_in_Maxillofacial_Surgery
- Download Citation | Registration of 3D Photographs with Spiral CT Images for Soft Tissue Simulation in Maxillofacial Surgery | Prediction of the facial outcome after maxillofacial surgery is …
Registration of 3D Photographs with Spiral CT Images for Soft …
- https://dl.acm.org/doi/abs/10.5555/646924.709346
- Home Browse by Title Proceedings MICCAI '01 Registration of 3D Photographs with Spiral CT Images for Soft Tissue Simulation in Maxillofacial Surgery. ... Registration of 3D Photographs with Spiral CT Images for Soft Tissue Simulation in Maxillofacial Surgery. Share on. Authors: Pieter De Groeve. View Profile, Filip Schutyser. View Profile, ...
Registration of 3D Photographs with Spiral CT Images for Soft …
- https://core.ac.uk/download/pdf/191288299.pdf
- The skin surfaces from 3D photography and CT imaging are shown on the top image.After rigid registration the middle row images are obtained.Non- rigid registration matches the two surfaces more closely (third row).Based on this result, the texture of the 3D photograph is added to the CT derived data resulting in the bottom row images. Created Date
Registration of 3D Photographs with Spiral CT Images for Soft …
- https://dl.acm.org/doi/10.5555/646924.709346
- Home Browse by Title Proceedings MICCAI '01 Registration of 3D Photographs with Spiral CT Images for Soft Tissue Simulation in Maxillofacial Surgery. Article . Free Access. Registration of 3D Photographs with Spiral CT Images for Soft Tissue …
Three-dimensional image registration for spiral CT angiography
- https://www.academia.edu/75225065/Three_dimensional_image_registration_for_spiral_CT_angiography
- Three-dimensional image registration for spiral CT angiography. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94, 1994. Shih-Ping Liou. Download Download PDF. Full PDF Package Download Full PDF Package. This Paper. A short summary of this paper.
US5839440A - Three-dimensional image registration method for …
- https://patents.google.com/patent/US5839440A/en
- A three-dimensional image registration method also uses an algorithm and applies it to the solution of such problems in 3D CT DSA. The method can deal with incomplete or partial volumetric data in registration and correct patient global motion prior to subtraction even when it is coupled with local unconscious/nonrigid movements.
(PDF) A pilot study in the 3D registration of structured-light facial ...
- https://www.researchgate.net/publication/254220797_A_pilot_study_in_the_3D_registration_of_structured-light_facial_data_with_spiral_CT_images_of_the_facial_defect
- A pilot study in the 3D registration of structured-light facial data with spiral CT images of the facial defect September 2011 Virtual and Physical Prototyping 6(3):1-8
Three-dimensional image registration for spiral CT angiography
- https://ieeexplore.ieee.org/document/323861/
- Abstract: This paper presents a 3D image registration approach to 3D CT angiography (CTA). We extend the interest operator from 2D to 3D in order to extract 3D feature points and develop a 3D image flow algorithm to find matches of feature points between the mask and the contrast data sets.
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