Reconstruction of digital radiographs by texture mapping, ray casting and splatting

Alakuijala, Jyrki; Jaske, U.M.; Sallinen, S.; Hehminen, H.; Laitinen, Juha

doi:10.1109/iembs.1996.651907

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…According to b c the positioning of the virtual C-arm in relation to the patient model and the positioning of the patient the virtual radiograph generator module produces a DRR. This DRR generation process uses sum-intensity volume rendering techniques on computer tomography datasets (CT-datasets) [4] which are registered with the body parts of the virtual patient. With virtX the author of an exercise can register different CTdatasets to defined volumes of the patient model.…”

Section: The Virtx Systemmentioning

confidence: 99%

Improving education on C-arm operation and radiation protection with a computer-based training and simulation system

Bott¹,

Wagner

Duwenkamp

et al. 2009

Int J CARS

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Section: The Virtx Systemmentioning

confidence: 99%

Improving education on C-arm operation and radiation protection with a computer-based training and simulation system

Bott¹,

Wagner

Duwenkamp

et al. 2009

Int J CARS

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“…A number of techniques to compute DRRs have been proposed in the literature (see [28]. In this study, DRRs are computed from CT data using a ray-casting algorithm [29,30].…”

Section: Reconstruction Of Digital Radiographsmentioning

confidence: 99%

2D-3D Registration of CT Vertebra Volume to Fluoroscopy Projection: A Calibration Model Assessment

Bifulco

Cesarelli

Allen

et al. 2009

EURASIP J. Adv. Signal Process.

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This study extends a previous research concerning intervertebral motion registration by means of 2D dynamic fluoroscopy to obtain a more comprehensive 3D description of vertebral kinematics. The problem of estimating the 3D rigid pose of a CT volume of a vertebra from its 2D X-ray fluoroscopy projection is addressed. 2D-3D registration is obtained maximising a measure of similarity between Digitally Reconstructed Radiographs (obtained from the CT volume) and real fluoroscopic projection. X-ray energy correction was performed. To assess the method a calibration model was realised a sheep dry vertebra was rigidly fixed to a frame of reference including metallic markers. Accurate measurement of 3D orientation was obtained via single-camera calibration of the markers and held as true 3D vertebra position; then, vertebra 3D pose was estimated and results compared. Error analysis revealed accuracy of the order of 0.1 degree for the rotation angles of about 1 mm for displacements parallel to the fluoroscopic plane, and of order of 10 mm for the orthogonal displacement.

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Reconstruction of digital radiographs by texture mapping, ray casting and splatting

Cited by 2 publications

References 2 publications

Improving education on C-arm operation and radiation protection with a computer-based training and simulation system

Improving education on C-arm operation and radiation protection with a computer-based training and simulation system

2D-3D Registration of CT Vertebra Volume to Fluoroscopy Projection: A Calibration Model Assessment

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