Publications
166 results found
Shi W, Caballero J, Ledig C, et al., 2013, Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch, 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Publisher: SPRINGER-VERLAG BERLIN, Pages: 9-16, ISSN: 0302-9743
- Author Web Link
- Cite
- Citations: 148
Malcolme-Lawes L, Juli C, Karim R, et al., 2012, AUTOMATED ANALYSIS OF ATRIAL DELAYED ENHANCEMENT CARDIAC MRI CORRELATES WITH VOLTAGE, AF RECURRENCE POST-ABLATION, AND HIGH STROKE RISK, Annual Conference of the British-Cardiovascular-Society (BCS)
Shi W, Zhuang X, Pizarro L, et al., 2012, Registration using sparse free-form deformations, Pages: 659-666, ISSN: 0302-9743
Non-rigid image registration using free-form deformations (FFD) is a widely used technique in medical image registration. The balance between robustness and accuracy is controlled by the control point grid spacing and the amount of regularization. In this paper, we revisit the classic FFD registration approach and propose a sparse representation for FFDs using the principles of compressed sensing. The sparse free-form deformation model (SFFD) can capture fine local details such as motion discontinuities without sacrificing robustness. We demonstrate the capabilities of the proposed framework to accurately estimate smooth as well as discontinuous deformations in 2D and 3D image sequences. Compared to the classic FFD approach, a significant increase in registration accuracy can be observed in natural images (61%) as well as in cardiac MR images (53%) with discontinuous motions.
Shi W, Zhuang X, Pizarro L, et al., 2012, Registration Using Sparse Free-Form Deformations, 15th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Publisher: SPRINGER-VERLAG BERLIN, Pages: 659-666, ISSN: 0302-9743
- Author Web Link
- Cite
- Citations: 23
Bai W, Brady M, 2010, Motion correction and attenuation correction for respiratory gated PET images, IEEE Transactions on Medical Imaging, Vol: 30, Pages: 351-365
Bai W, Brady SM, 2010, Motion Correction and Attenuation Correction in Thoracic PET Imaging, IEEE Nuclear Science Symposium (NSS)/Medical Imaging Conference (MIC)/17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, Publisher: IEEE, Pages: 3593-3598, ISSN: 1095-7863
- Author Web Link
- Cite
- Citations: 1
Wang P, Fu J, Ma W, et al., 2009, A quantification model for apoptosis in mouse embryos in the early stage of fetation, SCIENCE IN CHINA SERIES C-LIFE SCIENCES, Vol: 52, Pages: 922-927, ISSN: 1006-9305
- Author Web Link
- Cite
- Citations: 1
Bai W, Brady M, 2009, Regularized B-spline deformable registration for respiratory motion correction in PET images, PHYSICS IN MEDICINE AND BIOLOGY, Vol: 54, Pages: 2719-2736, ISSN: 0031-9155
- Author Web Link
- Cite
- Citations: 70
Bai W, Brady M, 2009, Regularized B-spline Deformable Registration for Respiratory Motion Correction in PET Images, IEEE Nuclear Science Symposium/Medical Imaging Conference, Publisher: IEEE, Pages: 2977-2983, ISSN: 1095-7863
Bai W, Brady M, 2009, SPATIO-TEMPORAL IMAGE REGISTRATION FOR RESPIRATORY MOTION CORRECTION IN PET IMAGING, IEEE International Symposium on Biomedical Imaging - From Nano to Macro, Publisher: IEEE, Pages: 426-429, ISSN: 1945-7928
- Author Web Link
- Cite
- Citations: 4
Bai W, Brady M, 2008, Regularized B-spline deformable registration for respiratory motion correction in PET images, Pages: 3702-3708, ISSN: 1095-7863
A major challenge in respiratory motion correction of gated PET images is their low signal to noise ratios (SNR). This particularly affects the accuracy of image registration. This paper presents an approach to overcoming this problem using a deformable registration algorithm which is regularized using a Markov random field (MRF). The deformation field is represented using B-splines and is assumed to form a MRF. A regularizer is then derived and introduced to the registration, which penalizes noisy deformation fields. Gated PET images are aligned using this registration algorithm and summed. Experiments with simulated data show that the regularizer effectively suppresses the noise in PET images, yielding satisfactory deformation fields. After motion correction, the PET images have significantly better image quality. ©2008 IEEE.
Wang P, Fu J, Ma W, et al., 2008, Imaging of calcium oscillation in mouse oocyte/zygote by two photon laser scanning microscopy, 1st International Conference on Biomedical Engineering and Informatics, Publisher: IEEE COMPUTER SOC, Pages: 81-+, ISSN: 1948-2914
Bai W, Zhou X, Ji L, et al., 2007, Automatic dendritic spine analysis in two-photon laser scanning microscopy images, CYTOMETRY PART A, Vol: 71A, Pages: 818-826, ISSN: 1552-4922
- Author Web Link
- Cite
- Citations: 22
Gao L, Bai W, Jin L, et al., 2007, Two-photon excited fluorescence imaging of cell spindles for developmental biology - art. no. 65341R, 5th International Conference on Photonics and Imaging in Biology and Medicine, Publisher: SPIE-INT SOC OPTICAL ENGINEERING, Pages: R5341-R5341, ISSN: 0277-786X
Wang R, Xue P, Bai W, et al., 2007, Full-field OCT for developmental biology - art. no. 65341U, 5th International Conference on Photonics and Imaging in Biology and Medicine, Publisher: SPIE-INT SOC OPTICAL ENGINEERING, Pages: U5341-U5341, ISSN: 0277-786X
- Author Web Link
- Cite
- Citations: 1
Bai W, Zhou X, Zhu J, et al., 2007, Tracing of migrating glioma cells in feature space, 4th IEEE International Symposium on Biomedical Imaging, Publisher: IEEE, Pages: 272-+, ISSN: 1945-7928
- Author Web Link
- Cite
- Citations: 3
This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.