3D Registration of mpMRI for Assessment of Prostate Cancer Focal Therapy.
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H. Rusinek | A. Villers | A. Rosenkrantz | S. Taneja | C. Orczyk | A. Mikheev | M. Bernaudin | S. Valable
[1] Gábor,et al. A spline-based non-linear diffeomorphism for multimodal prostate registration , 2017 .
[2] Leonard Marks,et al. Final Results of a Phase I/II Multicenter Trial of WST11 Vascular Targeted Photodynamic Therapy for Hemi-Ablation of the Prostate in Men with Unilateral Low Risk Prostate Cancer Performed in the United States. , 2016, The Journal of urology.
[3] Guido Gerig,et al. Longitudinal modeling of appearance and shape and its potential for clinical use , 2016, Medical Image Anal..
[4] D. Margolis,et al. Focal Laser Ablation of Prostate Cancer: Phase I Clinical Trial. , 2016, The Journal of urology.
[5] A. Madabhushi,et al. Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings , 2016, PloS one.
[6] Dmitry S. Novikov,et al. Optimal target VOI size for accurate 4D coregistration of DCE-MRI , 2016, SPIE Medical Imaging.
[7] N. Singla,et al. New technologies in tumor ablation , 2016, Current opinion in urology.
[8] F. Schneider,et al. Impact of magnetic resonance imaging-guided prostate biopsy in the supine position on the detection of significant prostate cancer in an inhomogeneous patient cohort , 2016, Scandinavian journal of urology.
[9] R. Lencioni,et al. Image-Guided Ablation of Malignant Liver Tumors: Recommendations for Clinical Validation of Novel Thermal and Non-Thermal Technologies - A Western Perspective , 2015, Liver Cancer.
[10] Henry Rusinek,et al. Image Guided Focal Therapy for Magnetic Resonance Imaging Visible Prostate Cancer: Defining a 3-Dimensional Treatment Margin Based on Magnetic Resonance Imaging Histology Co-Registration Analysis. , 2015, The Journal of urology.
[11] M. Gross,et al. A novel technique using three‐dimensionally documented biopsy mapping allows precise re‐visiting of prostate cancer foci with serial surveillance of cell cycle progression gene panel , 2015, The Prostate.
[12] H. Ahmed,et al. Histological outcomes after focal high-intensity focused ultrasound and cryotherapy , 2015, World Journal of Urology.
[13] H. Ahmed,et al. What tumours should we treat with focal therapy based on risk category, grade, size and location? , 2015, Current opinion in urology.
[14] Shahin Sirouspour,et al. Elastic registration of prostate MR images based on estimation of deformation states , 2015, Medical Image Anal..
[15] S. Crouzet,et al. How accurate is multiparametric MR imaging in evaluation of prostate cancer volume? , 2015, Radiology.
[16] Ian A. Donaldson,et al. Focal Therapy: Patients, Interventions, and Outcomes—A Report from a Consensus Meeting , 2015, European urology.
[17] J. Fütterer,et al. Follow-up modalities in focal therapy for prostate cancer: results from a Delphi consensus project , 2015, World Journal of Urology.
[18] Henry Rusinek,et al. Prostate tumour volumes: evaluation of the agreement between magnetic resonance imaging and histology using novel co‐registration software , 2014, BJU international.
[19] M. Stifelman,et al. A prospective, blinded comparison of magnetic resonance (MR) imaging-ultrasound fusion and visual estimation in the performance of MR-targeted prostate biopsy: the PROFUS trial. , 2014, European urology.
[20] P. Scardino,et al. Focal therapy in prostate cancer: international multidisciplinary consensus on trial design. , 2014, European urology.
[21] E. Barret,et al. How to diagnose and treat focal therapy failure and recurrence? , 2014, Current opinion in urology.
[22] P. Pinto,et al. Imaging modalities in focal therapy: patient selection, treatment guidance, and follow-up , 2014, Current opinion in urology.
[23] J. Trachtenberg,et al. Prostate cancer: A consensus on trial design for focal therapy , 2014, Nature Reviews Urology.
[24] Hessel Wijkstra,et al. The role of magnetic resonance imaging (MRI) in focal therapy for prostate cancer: recommendations from a consensus panel , 2014, BJU international.
[25] Belur V. Dasarathy,et al. Medical Image Fusion: A survey of the state of the art , 2013, Inf. Fusion.
[26] H Rusinek,et al. Preliminary experience with a novel method of three-dimensional co-registration of prostate cancer digital histology and in vivo multiparametric MRI. , 2013, Clinical radiology.
[27] Aytekin Oto,et al. MR imaging-guided focal laser ablation for prostate cancer: phase I trial. , 2013, Radiology.
[28] R. Setola,et al. Dynamic contrast-enhanced MR evaluation of prostate cancer before and after endorectal high-intensity focused ultrasound , 2013, La radiologia medica.
[29] Thomas Hambrock,et al. Simulated required accuracy of image registration tools for targeting high-grade cancer components with prostate biopsies , 2013, European Radiology.
[30] A. Fenster,et al. Registration of prostate histology images to ex vivo MR images via strand‐shaped fiducials , 2012, Journal of magnetic resonance imaging : JMRI.
[31] S. Crouzet,et al. Prostate focused ultrasound focal therapy—imaging for the future , 2012, Nature Reviews Clinical Oncology.
[32] A. Rosenkrantz,et al. Targeted prostate biopsy: opportunities and challenges in the era of multiparametric prostate magnetic resonance imaging. , 2012, The Journal of urology.
[33] Anant Madabhushi,et al. Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[34] David J. Hawkes,et al. Modelling Prostate Motion for Data Fusion During Image-Guided Interventions , 2011, IEEE Transactions on Medical Imaging.
[35] J. Chapelon,et al. Prostate cancer ablation with transrectal high-intensity focused ultrasound: assessment of tissue destruction with contrast-enhanced US. , 2011, Radiology.
[36] B. Carey,et al. Magnetic resonance imaging for the detection, localisation, and characterisation of prostate cancer: recommendations from a European consensus meeting. , 2011, European urology.
[37] P. Radío. Prostate cancer ablation with transrectal high-intensity focused ultrasound:assessment of tissue destruction with contrast-enhanced US , 2011 .
[38] J. Fütterer,et al. Role of MRI in follow-up after focal therapy for prostate carcinoma. , 2010, AJR. American journal of roentgenology.
[39] T. H. van der Kwast,et al. Focal laser ablation for prostate cancer followed by radical prostatectomy: validation of focal therapy and imaging accuracy. , 2010, European urology.
[40] Anant Madabhushi,et al. Multi-attribute combined mutual information (MACMI): An image registration framework for leveraging multiple data channels , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[41] Jocelyne Troccaz,et al. Mapping of Transrectal Ultrasonographic Prostate Biopsies , 2009, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.
[42] David J. Hawkes,et al. A Statistical Motion Model Based on Biomechanical Simulations for Data Fusion during Image-Guided Prostate Interventions , 2008, MICCAI.
[43] B. Wilson,et al. Magnetic resonance imaging correlated with the histopathological effect of Pd‐bacteriopheophorbide (Tookad) photodynamic therapy on the normal canine prostate gland , 2006, Lasers in surgery and medicine.
[44] Kawal S. Rhode,et al. Tissue deformation and shape models in image-guided interventions: a discussion paper , 2005, Medical Image Anal..
[45] Cedric X. Yu,et al. Deformable image registration for the use of magnetic resonance spectroscopy in prostate treatment planning. , 2004, International journal of radiation oncology, biology, physics.
[46] Jonathan S. Lewin,et al. Image Registration and Fusion for Interventional MRI Guided Thermal Ablation of the Prostate Cancer , 2003, MICCAI.
[47] David L. Wilson,et al. Automatic MR volume registration and its evaluation for the pelvis and prostate. , 2002, Physics in medicine and biology.
[48] Louis Lemieux,et al. The detection and significance of subtle changes in mixed-signal brain lesions by serial MRI scan matching and spatial normalization , 1998, Medical Image Anal..
[49] Jeffrey C. Lagarias,et al. Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions , 1998, SIAM J. Optim..
[50] J C Mazziotta,et al. Automated image registration: II. Intersubject validation of linear and nonlinear models. , 1998, Journal of computer assisted tomography.
[51] Scott T. Grafton,et al. Automated image registration: I. General methods and intrasubject, intramodality validation. , 1998, Journal of computer assisted tomography.
[52] Guy Marchal,et al. Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.
[53] G. Marchal,et al. Multi-modal volume registration by maximization of mutual information , 1997 .
[54] J. Hajnal,et al. Detection of Subtle Brain Changes Using Subvoxel Registration and Subtraction of Serial MR Images , 1995, Journal of computer assisted tomography.
[55] Paul A. Viola,et al. Alignment by Maximization of Mutual Information , 1995, Proceedings of IEEE International Conference on Computer Vision.
[56] Guy Marchal,et al. Automated multi-modality image registration based on information theory , 1995 .
[57] Guy Marchal,et al. Automated multi-moda lity image registration based on information theory , 1995 .