Imperial College London

ProfessorDanielRueckert

Faculty of EngineeringDepartment of Computing

Head of Department of Computing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

692 results found

Rueckert D, Clarkson MJ, Hill DLG, Hawkes DJet al., 2000, Non-rigid registration using higher-order mutual information, Medical Imaging 2000 Conference, Publisher: SPIE-INT SOC OPTICAL ENGINEERING, Pages: 438-447, ISSN: 0277-786X

Conference paper

Clarkson MJ, Rueckert D, Hill DLG, Hawkes DJet al., 2000, Multiple 2D video - 3D medical image registration algorithm, ISSN: 0277-786X

In this paper we propose a novel method to register at least two video images to a 3D surface model. The potential applications of such a registration method could be in image guided surgery, high precision radiotherapy, robotics or computer vision. Registration is performed by optimizing a similarity measure with respect to the pose parameters. The similarity measure is based on `photo-consistency' and computes for each surface point, how consistent the corresponding video image information in each view is with a lighting model. We took four video views of a volunteer's face, and used an independent method to reconstruct a surface that was intrinsically registered to the four views. In addition, we extracted a skin surface from the volunteer's MR scan. The surfaces were misregistered from a gold standard pose and our algorithm was used to register both types of surfaces to the video images. For the reconstructed surface, the mean 3D error was 1.53 mm. For the MR surface, the standard deviation of the pose parameters after registration ranged from 0.12 to 0.70 mm and degrees. The performance of the algorithm is accurate, precise and robust.

Conference paper

Blackall JM, Rueckert D, Maurer CR, Penney GP, Hill DLG, Hawkes DJet al., 2000, An image registration approach to automated calibration for freehand 3D ultrasound, Third Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI '00)

Conference paper

Hartkens T, Hill DLG, Maurer CR, Martin AJ, Hall WA, Hawkes DJ, Rueckert D, Liu H, Truwit CLet al., 2000, Quantifying the intraoperative brain deformation using interventional MR imaging

Poster

Tanner C, Schnabel JA, Chung D, Clarkson MJ, Rueckert D, Hill DLG, Hawkes DJet al., 2000, Volume and shape preservation of enhancing lesions when applying non-rigid registration to a time series of contrast enhancing MR breast images, Third Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI '00)

Conference paper

Clarkson MJ, Rueckert D, Hill DLG, Hawkes DJet al., 1999, Registration of multiple video images to pre-operative CT for image guided surgery, Medical Imaging 1999 Conference - Image Processing, Publisher: SPIE-INT SOC OPTICAL ENGINEERING, Pages: 14-23, ISSN: 0277-786X

Conference paper

Clarkson MJ, Rueckert D, King AP, Edwards PJ, Hill DLG, Hawkes DJet al., 1999, Registration of video images to tomographic images by optimising mutual information using texture mapping, Pages: 579-589, ISSN: 0302-9743

© Springer-Verlag Berlin Heidelberg 1999. In this paper we propose a novel tracking method to update the pose of stereo video cameras with respect to a surface model derived from a 3D tomographic image. This has a number of applications in image guided interventions and therapy. Registration of 2D video images to the pre-operative 3D image provides a mapping between image and physical space and enables a perspective projection of the pre-operative data to be overlaid onto the video image. Assuming an initial registration can be achieved, we propose a method for updating the registration, which is based on image intensity and texture mapping. We performed five experiments on simulated, phantom and volunteer data and validated the algorithm against an accurate gold standard in all three cases. We measured the mean 3D error of our tracking algorithm to be 1.05 mm for the simulation and 1.89 mm for the volunteer data. Visually this corresponds to a good registration.

Conference paper

Hill DLG, Martin AJ, Truwit CL, Maurer CR, Sabanathan S, Hall WA, Rueckert D, Hawkes DJet al., 1999, Assessment of intraoperative brain deformation using interventional MR imaging, Second Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI '99), Publisher: Springer, Pages: 910-919

Conference paper

Rueckert D, Hawkes DJ, Denton E, Hayes C, Rankin S, Hill DLG, Leach Met al., 1999, Comparison of rigid and non-rigid registration of breast MR images, Proc. of the International Society for Magnetic Resonance in Medicine, Philadelphia, PN

Poster

Sanchez-Ortiz GI, Burger P, Rueckert D, 1999, Knowledge-based tensor anisotropic diffusion of cardiac cine MR images, Medical Image Analysis, Vol: 3, Pages: 77-101

Journal article

Clarkson MJ, Hawkes DJ, Rueckert D, King AP, Edwards PJ, Hill DLGet al., 1999, Registration of video images to tomographic images by optimising mutual information, Second Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI '99) Cambridge, UK, Publisher: Springer, Pages: 579-588

Conference paper

Rueckert D, Hawkes DJ, Sonoda LI, Denton E, Rankin S, Hayes C, Hill DLG, Leach Met al., 1999, Evaluation of non-rigid registration using free-form deformations for breast MR images, Proc. of Medical Image Understanding and Analysis '99, Oxford, UK

Poster

Rueckert D, Hawkes DJ, Sonoda LI, Hayes C, Hill DLG, Leach Met al., 1999, Non-rigid registration using free-form deformations: Application to breast MR images, IEEE Transactions on Medical Imaging, Vol: 18, Pages: 712-721

Journal article

Denton E, Hawkes DJ, Sonoda LI, Rueckert D, Rankin S, Hayes C, Leach M, Hill DLGet al., 1999, Comparison and evaluation of rigid and non-rigid registration of breast MR images, Journal of Computer Assisted Tomography, Vol: 23, Pages: 800-805

Journal article

Rueckert D, Hawkes DJ, 1999, 3D analysis: Registration of biomedical images, Image, Processing and Analysis - A Practical Approach, Editors: Baldock, Graham, Publisher: Oxford University Press

Book chapter

Clarkson MJ, Hawkes DJ, Hill DLG, Rueckert Det al., 1999, Registration of multiple video images to pre-operative CT for image guided surgery, Proc. SPIE Medical Imaging : Image Processing, San Diego, CA, Pages: 14-23

Conference paper

Rueckert D, Hawkes DJ, Leach M, Sonoda LI, Denton E, Rankin S, Hayes C, Hill DLGet al., 1999, Comparison and evaluation of rigid and non-rigid registration of breast MR images, Proc. SPIE Medical Imaging : Image Processing, San Diego, CA, Pages: 78-88

Conference paper

Clarkson MJ, Hawkes DJ, Rueckert D, King AP, Edwards PJ, Hill DLGet al., 1999, Using texture mapping to register video images to tomographic images by optimising mutual information, Proc. of Medical Image Understanding and Analysis '99, Oxford, UK, Pages: 29-32

Conference paper

Maurer CR, Hill DLG, Martin AJ, Liu HY, McCue M, Rueckert D, Lloret D, Hall WA, Maxwell RE, Hawkes DJ, Truwit CLet al., 1998, Investigation of intraoperative brain deformation using a 1.5-t interventional MR system: Preliminary results, IEEE TRANSACTIONS ON MEDICAL IMAGING, Vol: 17, Pages: 817-825, ISSN: 0278-0062

Journal article

Yang GZ, Burger P, Panting J, Gatehouse PD, Rueckert D, Pennell DJ, Firmin DNet al., 1998, Motion and deformation tracking for short-axis echo-planar myocardial perfusion imaging., Med Image Anal, Vol: 2, Pages: 285-302, ISSN: 1361-8415

The assessment of regional myocardial perfusion during the first-pass of a contrast agent bolus requires tracking of the signal time course for each myocardial segment so that a detailed perfusion map can be derived. To obtain such a map in practice, however, is not trivial because deformation of the shape of the myocardium and respiratory-induced motion render a major difficulty in this process. This study describes an automated approach for motion and deformation tracking of functional myocardial perfusion images. The effectiveness of the described method has been evaluated using a numerical phantom and results are compared with those from existing techniques which use deformable models. Preliminary results from applying our approach to 20 patients are discussed and compared with those from SPECT studies.

Journal article

Rueckert D, Hayes C, Studholme C, Summers P, Leach M, Hawkes DJet al., 1998, Non-rigid registration of breast MR images using mutual information, 1st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 98), Publisher: SPRINGER-VERLAG BERLIN, Pages: 1144-1152, ISSN: 0302-9743

Conference paper

Rueckert D, Burger P, Forbat S, Mohiaddin R, Yang Get al., 1997, Automatic tracking of the aorta in cardiovascular MR images using deformable models, IEEE Transactions on Medical Imaging, Vol: 16, Pages: 581-590

Journal article

Rueckert D, Burger P, 1997, Shape-based segmentation and tracking in 4D cardiac MR images, 1st Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine / Medical Robotics and Computer-Assisted Surgery (CVRMed-MRCAS 97), Publisher: SPRINGER-VERLAG BERLIN, Pages: 43-52, ISSN: 0302-9743

Conference paper

Rueckert D, Burger P, 1997, Geometrically deformable templates for shape-based segmentation and tracking in cardiac MR images, International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, Publisher: SPRINGER-VERLAG BERLIN, Pages: 83-98, ISSN: 0302-9743

Conference paper

Rueckert D, Burger P, 1996, A multiscale approach to contour fitting for MR images, Conference on Image Processing - Medical Imaging 1996, Publisher: SPIE - INT SOC OPTICAL ENGINEERING, Pages: 289-300

Conference paper

Rueckert D, Bruger P, 1996, Shape-based tracking and analysis of the aorta in cardiac MR images using geometrically deformable templates, International Symposium on Computer and Communication Systems for Image Guided Diagnosis and Therapy (CAR 96), Publisher: ELSEVIER SCIENCE PUBL B V, Pages: 274-279, ISSN: 0531-5131

Conference paper

Rueckert D, SanchezOrtiz GI, Burger P, 1996, Motion and deformation analysis of the myocardium using density and velocity encoded MR images, International Symposium on Computer and Communication Systems for Image Guided Diagnosis and Therapy (CAR 96), Publisher: ELSEVIER SCIENCE PUBL B V, Pages: 125-130, ISSN: 0531-5131

Conference paper

Sanchez-Ortiz GI, Rueckert D, Burger P, 1996, Motion and Deformation Analysis of the Heart using Thin-Plate Splines and Density and Velocity Encoded MR Images, 16th Leeds Annual Statistical Research Workshop on Image Fusion and Shape Variability Techniques, LASR'96

Poster

Sanchez-Ortiz GI, Rueckert D, Burger P, 1996, Knowledge-Based Anisotropic Diffusion of Vector-Valued 4-Dimensional Cardiac MR Images, British Machine Vision Conference, BMVC'96

Conference paper

Rueckert D, Burger P, 1995, Contour fitting using an adaptive spline model, 6th British Machine Vision Conference (BMVC 95)

Conference paper

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