A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A Real-Time Algorithm for Medical Shape Recovery
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Multimodal 3D Shape Recovery from Texture, Silhouette and Shadow Information
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Sparse representation of deformable 3D organs
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
In vivo tracking of 3D organs using spherical harmonics and subspace clustering
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Sparse representation of deformable 3D organs with spherical harmonics and structured dictionary
Journal of Biomedical Imaging - Special issue on Machine Learning in Medical Imaging
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This paper presents the first demonstration of real time 3D tracking of organ deformation based on one-sided, limited view needlescopic optical imaging and a single preoperative MRIICT scan. The reconstruction is based on the empirical observation that the spherical harmonic coefficients corresponding to distorted surfaces of any given organ lie in lower dimensional spaces that can be learned during training. The paper discusses the details of the selection of the limited optical views and the registration of the real time partial optical images with the single pre-operative MRIlCT scan. Finally, it demonstrates the first experimental 3D reconstruction of exvivo kidneys based on a single MRI scan with 1 mm resolution and real time single side optical imagery achieving spatial resolution of better than 2 mm, even on the hidden organ surface, or less than 1.85% relative error.