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Extension of the ICP Algorithm to Nonrigid Intensity-Based Registration of 3D Volumes

J. Feldmar, J. Declerck, G. Malandain, N. Ayache
1997 Computer Vision and Image Understanding  
We present in this paper a new registration and gain correction algorithm for 3D medical images. It is intensity based.  ...  It can be understood as an extension of the Iterative Closest Point algorithm 5, 56 or as an application of the formalism proposed in 13 .  ...  This algorithm is an extension of the original ICP algorithm to volume registration and deals explicitly with the occlusion problem.  ... 
doi:10.1006/cviu.1997.0606 fatcat:iolocm3cyzhlneyi5rcg2qacu4

Nonrigid point registration for 2D curves and 3D surfaces and its various applications

Hesheng Wang, Baowei Fei
2013 Physics in Medicine and Biology  
A nonrigid B-spline based point-matching method (BPM) is proposed to match dense surface points.  ...  A local B-spline motion model decreases the degrees of freedom for optimization and thus enables the registration of a larger number of feature points.  ...  Figure 1 .Figure 2 . 12 Pseudo-code of B-spline nonrigid robust point-matching algorithm Registration of 3D synthesized point sets.  ... 
doi:10.1088/0031-9155/58/12/4315 pmid:23732538 pmcid:PMC3819195 fatcat:2bt6how7erhe5g2szhrmv2eca4

Laser-beam Projection Mapping with Compensation for Soft-tissue Deformation

Yoshikazu Nakajima, Yoshio Sohma, Jue Jiang
2020 Sensors and materials  
The proposed system reduced error in brain deformation tracking to around one second and showed the feasibility of PM in brain surgeries.  ...  Therefore, we propose a method of PM surgical navigation that supports the compensation for brain-shift deformation.  ...  Acknowledgments This study was partly supported by a Grant-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan (JSPS 16H03191).  ... 
doi:10.18494/sam.2020.2630 fatcat:jguuj27divbdniwe44bomqcnqu

Robust deformation capture from temporal range data for surface rendering

Umberto Castellani, Vincent Gay-Bellile, Adrien Bartoli
2008 Computer Animation and Virtual Worlds  
The proposed method is based on a planar mesh that is deformed so as to fit each of the range images.  ...  The algorithm is reasonably fast and is shown to be robust to missing and erroneous data points.  ...  The registration of 3D point clouds is a challenging topic mainly tackled in the framework of ICP for rigid scenarios [21, 22] .  ... 
doi:10.1002/cav.269 fatcat:cgpwv5uxirdaxfozrlglhugpc4

Shape registration in implicit spaces using information theory and free form deformations

Xiaolei Huang, N. Paragios, D.N. Metaxas
2006 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We also compare the performance of our algorithm with that of several other well-known shape registration algorithms.  ...  ; then, a B-spline-based Incremental Free Form Deformations (IFFD) model is used to minimize a Sum-of-Squared-Differences (SSD) measure and further recover a dense local nonrigid registration field.  ...  Wang, Professor Huang, and Professor Samaras from the State University of New York-Stony Brook, for providing the 3D dynamic face range scan data and helping with the quantitative validation.  ... 
doi:10.1109/tpami.2006.171 pmid:16886865 fatcat:zvqzrvw4mfey7crdtnwh6y2rai

A Review of Point Feature Based Medical Image Registration

Shao-Ya Guan, Tian-Miao Wang, Cai Meng, Jun-Chen Wang
2018 Chinese Journal of Mechanical Engineering  
The aim of this paper is to provide a summary of pointfeature-based methods used in medical image registration and to guide doctors or researchers interested in this field to choose appropriate techniques  ...  In this paper, we provide a comprehensive review of the existing key techniques of the PMs applied to medical image registration according to the basic principles and clinical applications.  ...  Authors' Information Shao-Ya Guan, born in 1992, is currently a PhD candidate at School of Mechanical Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published  ... 
doi:10.1186/s10033-018-0275-9 fatcat:2u7ufzewwjdzljiy335towduwi

Iconic Feature Registration with Sparse Wavelet Coefficients [chapter]

Pascal Cathier
2006 Lecture Notes in Computer Science  
With the growing acceptance of nonrigid registration as a useful tool to perform clinical research, and in particular group studies, the storage space needed to hold the resulting transforms is deemed  ...  to become a concern for vector field based approaches, on top of the traditional computation time issue.  ...  Presentation of the Registration Algorithm Wavelet-Based Iconic Feature Registration In [10] , we introduced the concept of iconic feature registration.  ... 
doi:10.1007/11866763_85 fatcat:znayac2pfjaipoqbeyyotyn36m

Accelerating Image Registration With the Johnson–Lindenstrauss Lemma: Application to Imaging 3-D Neural Ultrastructure With Electron Microscopy

Ayelet Akselrod-Ballin, D. Bock, R. C. Reid, S. K. Warfield
2011 IEEE Transactions on Medical Imaging  
We present a novel algorithm to accelerate feature based registration, and demonstrate the utility of the algorithm for the alignment of large transmission electron microscopy (TEM) images to create 3D  ...  In contrast to the most similar algorithms, which achieve small computation times by truncated search, our algorithm uses a novel randomized projection to accelerate feature comparison and to enable global  ...  [6] addressed the section to section matching as part of a complete algorithm for assembling 3D volumes from EM data.  ... 
doi:10.1109/tmi.2011.2125797 pmid:21402511 pmcid:PMC3183508 fatcat:7ohg56ip4ncdpdwbrkhp2aayp4

Cortical surface registration for image-guided neurosurgery using laser-range scanning

M.I. Miga, T.K. Sinha, D.M. Cash, R.L. Galloway, R.J. Weil
2003 IEEE Transactions on Medical Imaging  
With regard to in vivo registration, the mean TRE of vessel contour points for each framework was 1 9 1 0 0 9 0 6 and 1 3 0 5 for PBR, ICP, and SurfaceMI, respectively.  ...  In addition, an in vivo registration is performed to demonstrate feasibility of the data acquisition system in the operating room.  ...  ACKNOWLEDGMENT The authors would like to thank D.  ... 
doi:10.1109/tmi.2003.815868 pmid:12906252 pmcid:PMC3819811 fatcat:fyvq646nonhtziv3ydhfnkqzza

Integrated Approach for Matching Statistical Shape Models with Intra-operative 2D and 3D Data [chapter]

M. Fleute, S. Lavallée, L. Desbat
2002 Lecture Notes in Computer Science  
The method for shape extraction/analysis is based on a generic model of the object and is used to segment training shapes and to establish point to point correspondence simultaneously in a set of CT images  ...  This paper presents an approach to the problem of intraoperative reconstruction of 3D anatomical surfaces.  ...  Financial support from the Region Rhone-Alpes and the european projects IGOSII, CRIGOS, MI3 is also gratefully acknowledged.  ... 
doi:10.1007/3-540-45787-9_46 fatcat:ckhpn6yf7vatfeqc6xayi4cmay

Efficient, General Point Cloud Registration with Kernel Feature Maps

Hanchen Xiong, Sandor Szedmark, Justus Piater
2013 2013 International Conference on Computer and Robot Vision  
Because of the generality of KPCA and SE(N ) on-manifold method, the proposed algorithm can be easily extended to registration in any number of dimensions (although we only focus on 3D case).  ...  This paper proposes a novel and efficient point cloud registration algorithm based on the kernel-induced feature map.  ...  ACKNOWLEDGMENT The research leading to these results has received funding from the European Communitys Seventh Framework Pro-  ... 
doi:10.1109/crv.2013.26 dblp:conf/crv/XiongSP13 fatcat:o7v67xzrinagxasrspi3vov7gu

Automatic alignment of pre- and post-interventional liver CT images for assessment of radiofrequency ablation

Christian Rieder, Stefan Wirtz, Jan Strehlow, Stephan Zidowitz, Philipp Bruners, Peter Isfort, Andreas H. Mahnken, Heinz-Otto Peitgen, David R. Holmes III, Kenneth H. Wong
2012 Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling  
A registration mask excluding lesions and neighboring organs is calculated to prevent the registration algorithm from matching both lesion shapes instead of the surrounding liver anatomy.  ...  To minimize the effect of global liver deformations, the registration is computed in a local region of interest around the pre-interventional lesion and post-interventional coagulation necrosis.  ...  We would like to thank the people at Fraunhofer MEVIS for their contribution to our work.  ... 
doi:10.1117/12.911188 dblp:conf/miigp/RiederWSZBIMP12 fatcat:3zwhlmqv55fajfqph57y264b2m

Real-time multimodal image registration with partial intraoperative point-set data

Zachary M C Baum, Yipeng Hu, Dean C Barratt
2021 Medical Image Analysis  
of previous learning-based point-set registration methods.  ...  The results indicate superior accuracy to the alternative rigid and non-rigid registration algorithms tested and substantially lower computation time.  ...  Using segmented MR and TRUS images, the contours and volumes of each prostate gland were extracted to generate two 3D point-sets -P T from the TRUS images and P S from the MR images -using a grid-based  ... 
doi:10.1016/j.media.2021.102231 pmid:34583240 pmcid:PMC8566274 fatcat:iwl5ebwmjnfyfj64rpzsz7hv7e

Focus plus context visualization based on volume clipping for markerless on-patient medical data visualization

Márcio C.F. Macedo, Antônio L. Apolinário
2015 Computers & graphics  
However, some of the existing methods for focus plus context visualization based on volume clipping do not run in full real time or are prone to artifacts.  ...  A 3D reference model is tracked by the application, and volumetric medical data are shown to the user at the position of the patient's anatomy.  ...  ROI 947 is not visible in the view of the RGB-D sensor and the algo-948 rithm does not support relocalization nor nonrigid registration 949 of the 3D reference model.  ... 
doi:10.1016/j.cag.2015.09.007 fatcat:obrrcy6w7fd4dhdguuh6srrwna

Registration for Orthopaedic Interventions [chapter]

Ziv Yaniv
2015 Lecture Notes in Computational Vision and Biomechanics  
The reconstructed volume is then rigidly registered to the preoperative volume using 3D/3D intensity based registration algorithms.  ...  Intensity based algorithms directly use the intensity values of the images and do not require accurate segmentation, overcoming the main deficiency of feature based algorithms.  ... 
doi:10.1007/978-3-319-23482-3_3 fatcat:vwjzwymyqvflhdme7vgqvxng7m
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