Tesis sobre el tema "Image registration"
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Prasai, Persis. "Multimodality image registration". Birmingham, Ala. : University of Alabama at Birmingham, 2006. http://www.mhsl.uab.edu/dt/2007m/prasai.pdf.
Texto completoSuri, Sahil. "Automatic image to image registration for multimodal remote sensing images". kostenfrei, 2010. https://mediatum2.ub.tum.de/node?id=967187.
Texto completoWei, YaNing. "Image registration and matching". Thesis, University of Nottingham, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430757.
Texto completoHabboush, Isam H. (Isam Hussein). "Image registration and fusion". Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/37009.
Texto completoYanovsky, Igor. "Unbiased nonlinear image registration". Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1619485511&sid=16&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Texto completoRohrer, Jonathan. "Accelerated nonrigid image registration". Berlin dissertation.de, 2009. http://d-nb.info/999883968/04.
Texto completoBird, Joshua Campbell Cater. "Evaluation of Deformable Image Registration". Thesis, University of Canterbury. Physics, 2015. http://hdl.handle.net/10092/10577.
Texto completoHenson, Benjamin. "Image registration for sonar applications". Thesis, University of York, 2017. http://etheses.whiterose.ac.uk/19536/.
Texto completoFitch, Alistair John. "Fast statistically robust image registration". Thesis, University of Surrey, 2003. http://epubs.surrey.ac.uk/844612/.
Texto completoFEI, Baowei. "Image Registration for the Prostate". Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1224274091.
Texto completoPaquin, Dana. "Multiscale methods for image registration /". May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.
Texto completoPourmoshir, Shirin. "An Aerial Image Registration Tool". Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-372091.
Texto completoSong, Joo Hyun. "Methods for evaluating image registration". Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5637.
Texto completoCabrera, Gil Blanca. "Deep Learning Based Deformable Image Registration of Pelvic Images". Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279155.
Texto completoZhao, Bowen. "Tissue preserving deformable image registration for 4DCT pulmonary images". Thesis, University of Iowa, 2016. https://ir.uiowa.edu/etd/2172.
Texto completoHamdan, Iyas. "Multimodal Image Registration in Image-Guided Prostate Brachytherapy". Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0002/document.
Texto completoProstate cancer is the most common cancer in men in France and western countries. It is the third leading cause of death from cancer, being responsible for around 10% of deaths. Brachytherapy, a radiotherapy technique, is associated with a better health-related quality of life after the treatment, compared to other treatment techniques. Prostate brachytherapy involves the implantation of radioactive sources inside the prostate to deliver a localized radiation dose to the tumor while sparing the surrounding healthy tissues. Multi-modal imaging is used in order to improve the overall accuracy of the treatment. The pre-operative Computed Tomography (CT) images can be used to calculate a personalized and accurate dose distribution. During the intervention, the surgeon utilizes a real-time guiding system, Trasnrectal Ultrasound (TRUS), to accurately place the radioactive sources in their desired pre-planned positions. Therefore, if the positions of the sources were determined on CT, they need to be transferred to US. However, a robust and direct US/CT registration is hardly possible since they both provide low soft tissue contrast. Magnetic Resonance Imaging (MRI), on the other hand, has a superior contrast and can potentially improve the treatment planning and delivery by providing a better visualization. Thus, these three modalities (MRI, US and CT) need to be accurately registered. To compensate for prostate deformations, caused by changes in size and form between the different acquisitions, non-rigid registration is essential. Fully automatic registration methodology is necessary in order to facilitate its integration in a clinical workflow. At first, we propose a registration between pre-operative MR and CT images based on the maximization of the mutual information in combination with a deformation field parameterized by cubic B-Splines. We propose to constrain the registration to volumes of interest (VOIs) in order to improve the robustness and the computational efficiency. The proposed approach was validated on clinical patient datasets. Quantitative evaluation indicated that the overall registration error was of 1.15±0.20 mm; which satisfies the desired clinical accuracy. Then, we propose a second intra-operative US/MRI registration, where a multi-resolution approach is implemented to reduce the probability of local minima and improve the computational efficiency. A similarity measure, which correlates intensities of the US image with intensities and gradient magnitude of the MRI, is used to determine the transformation that aligns the two images. The proposed methodology was validated on a prostate phantom at first to assess its feasibility. Subsequently, the method was validated on clinical patient datasets and evaluated using qualitative and quantitative criteria, resulting in a registration error of 1.44±0.06 mm. The approach proposed in this work allows going towards a multimodal protocol for image-guided brachytherapy which can improve the overall accuracy of this procedure. Despite such encouraging results, future work will involve further evaluation on a larger number of datasets in order to assess the reliability and the efficiency of this methodology before integrating it in a clinical workflow
Purwani, Sri. "Ensemble registration : combining groupwise registration and segmentation". Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/ensemble-registration-combining-groupwise-registration-and-segmentation(5f3c06b4-4909-492b-bbc9-a0fecb77d216).html.
Texto completoXu, Min. "Image registration and image fusion Algorithms and performance bounds /". Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2009. http://wwwlib.umi.com/cr/syr/main.
Texto completoChou, Yi-Yu. "Transitive and Symmetric Nonrigid Image Registration". Thesis, Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4966.
Texto completoYe, Getian Information Technology & Electrical Engineering Australian Defence Force Academy UNSW. "Image registration and super-resolution mosaicing". Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2005. http://handle.unsw.edu.au/1959.4/38653.
Texto completoSotiras, Aristeidis. "Discrete Image Registration : a Hybrid Paradigm". Phd thesis, Ecole Centrale Paris, 2011. http://tel.archives-ouvertes.fr/tel-00677442.
Texto completoReinertsen, Ingerid R. "Robust registration of volumetric image data". Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=29570.
Texto completoThe registration algorithm was validated using simulated anatomical MRI volumes and real fMRI datasets. The registration technique is robust in the presence of large amounts of noise; and the experiments show that the method gives accurate estimations of motion up to 5 mm translation in all three directions and 5 degrees rotation around the three axes. The correction procedure also yields increased statistical power in activated regions, and thereby facilitates the precise localization of true activated areas.
Gu, Wei Q. "Automated tracer-independent MRIPET image registration". Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27223.
Texto completoThis thesis describes an automated tracer-independent MRI/PET registration method, in which the registration of MR images to tracer-independent PET transmission images is performed to register the corresponding MRI and PET emission images. Two voxel-based registration methods--mutual information method (MI) and voxel intensity ratio (VR) method, were implemented for the registration of MRI/PET transmission images.
The validation of the two registration methods was first performed on simulated PET transmission images with real MR images. The quantitative evaluation of these registration results reveals that the MI method gives more accurate registration results (mean 3-D registration error less than 2 mm) than the VR method (mean 3-D registration error more than 2.5 mm); and the MI method is more robust against noise and data truncation than the VR method. Both methods are more sensitive to low spatial resolution than to the noise of the PET transmission images. The validation of the MI method on real MRI/PET images was also carried out, and the results show no obvious misregistration by visual inspection. Tracer-independent MRI/PET registration using the MI algorithm is shown to be a feasible and robust method to register the MRI to PET images, regardless of the tracer used in the PET studies.
Xu, Dongjiang. "HYBRID AND HIERARCHICAL IMAGE REGISTRATION TECHNIQUES". Doctoral diss., University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3232.
Texto completoPh.D.
Department of Electrical and Computer Engineering
Engineering and Computer Science
Electrical Engineering
Bejo, Siti. "Elastic image registration for landslides monitoring". Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/804429/.
Texto completoEttinger, Gil J. "Hierarchical three-dimensional medical image registration". Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10448.
Texto completoIncludes bibliographical references (leaves 168-172).
by Gil J. Ettinger.
Ph.D.
Zeledon, Lostalo Emilia Maria. "FMRI IMAGE REGISTRATION USING DEEP LEARNING". OpenSIUC, 2019. https://opensiuc.lib.siu.edu/theses/2641.
Texto completoKhare, Vinod. "Precise Image Registration and Occlusion Detection". The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1308246730.
Texto completoGong, Lixin. "Prostate ultrasound image segmentation and registration /". Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/5937.
Texto completoCastro, Pareja Carlos Raul. "Real-time 3D elastic image registration". Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1086185793.
Texto completoTitle from first page of PDF file. Document formatted into pages; contains xv, 105 p. : ill. (some col.). Advisor: Jogikal Jagadeesh, Department of Electrical and Computer Engineering. Includes bibliographical references (p. 101-105).
Zheng, Chaojie. "Deformable Image Registration with Uncertainty-Awareness". Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/20948.
Texto completoKochan, Martin. "Enhancing registration for image-guided neurosurgery". Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10045247/.
Texto completoBjörck, Olof. "Analyzing gyro data based image registration". Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-397459.
Texto completoJia, Zhen. "Image Registration and Image Completion: Similarity and Estimation Error Optimization". University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406821875.
Texto completoMitra, Jhimli. "Multimodal Image Registration applied to Magnetic Resonance and Ultrasound Prostatic Images". Phd thesis, Université de Bourgogne, 2012. http://tel.archives-ouvertes.fr/tel-00786032.
Texto completoYu, Hongliang. "Automatic Rigid and Deformable Medical Image Registration". Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-050905-100341/.
Texto completoChen, Hua-Mei. "Mutual information-based image registration with applications". Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2002. http://wwwlib.umi.com/cr/syr/main.
Texto completoYi, Zhao. "Nonrigid Image Registration Using Physically Based Models". Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2952.
Texto completoIn this thesis, a novel registration technique is presented based on the physical behavior of particles. Regarding the image as a particle system without mutual interaction, we simulate the registration process by a set of free particles moving toward the target positions under applied forces. The resulting partial differential equations are a nonlinear hyperbolic system whose solution describes the spatial transformation between the images to be registered. They can be numerically solved using finite difference methods.
This technique extends existing physically based models by completely excluding mutual interaction and highly localizing image deformations. We demonstrate its performance on a variety of images including two-dimensional and three-dimensional, synthetic and clinical data. Deformable images are achieved with sharper edges and clearer texture at less computational cost.
Sivaramakrishna, Radhika. "Breast image registration using a textural transformation". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq23666.pdf.
Texto completoGu, Wei Q. "Automated tracer-independent MRI/PET image registration". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29596.pdf.
Texto completoLorenzen, Peter Jonathan Joshi Sarang C. "Multi-modal image registration and atlas formation". Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,336.
Texto completoTitle from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science." Discipline: Computer Science; Department/School: Computer Science.
Curran, Kathleen Mary. "Orientation matching for diffusion tensor image registration". Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1444595/.
Texto completoCahill, Nathan D. "Constructing and solving variational image registration problems". Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:ed43a6f4-216f-45b5-88c5-2baaba1e684a.
Texto completoWhite, Brandyn A. "Using FPGAs to perform embedded image registration". Honors in the Major Thesis, University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1337.
Texto completoBachelors
Engineering and Computer Science
Computer Engineering
Martin, Stefan. "On information measures for medical image registration". Thesis, University of Strathclyde, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436843.
Texto completoWilliams, Tamara S. (Tamara Shanese) 1976. "Multi-modal registration for image-guided therapy". Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86626.
Texto completoCuesta, Contreras Angel. "Geometric and photometric affine invariant image registration". Thesis, Heriot-Watt University, 2009. http://hdl.handle.net/10399/2228.
Texto completoDorgham, Osama. "High speed 2D/3D medical image registration". Thesis, University of East Anglia, 2010. https://ueaeprints.uea.ac.uk/32227/.
Texto completoIvarsson, Magnus. "Evaluation of 3D MRI Image Registration Methods". Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139075.
Texto completoGeng, Xiujuan. "Transitive inverse-consistent image registration and evaluation". Diss., University of Iowa, 2007. http://ir.uiowa.edu/etd/131.
Texto completo