Differences

This shows you the differences between two versions of the page.

Link to this comparison view

research.prior_knowledge [2012/12/10 17:36]
127.0.0.1 external edit
research.prior_knowledge [2019/08/07 12:01]
Line 1: Line 1:
-====== Fusion of Images with Prior Data ====== 
- 
-{{ :​research:​combining_prior_knowledge.png?​350|}} 
- 
-One common theme in research in our laboratory and elsewhere is combinining prior information ​ 
-about an individual patient or patient populations with new images to produce an improved model  
-of the patient. 
- 
-Examples may be found throughout our research writeups(e.g., ​ 
-[[Research#​Sparse X-Ray Reconstruction|Sparse X-Ray Reconstruction]],​ 
-[[research.acl_tunnel|3D ACL Tunnel Position Estimation]]). 
-Some more examples may be found below. 
- 
-\\ 
-\\ 
-\\ 
-\\ 
-\\ 
- 
-====== Deformable registration to statistical models ====== 
-{{ :​research:​deformable_registration_to_statistical_atlas.png?​350|Deformable 2D-3D registration of statistical model of pelvis from sparse set of x-rays}} 
- 
-Just as other groups, we have a long history of creating statistical models of patient anatomy 
-and using the results for such purposes as assisting the segmentation of 3D images by means of deformable 
-registration of these models to patient-specific images (e.g., [Yao 2003a], [Ellingsen 2009], 
-[Chintalapani 2007], [Chintalapani 2009], [Seshamani 2011]) ​ 
-and to create estimates of 3D models from sparse sets of 2D data (e.g., [Yao 2002a], [Yao 2003b], ​ 
-[Sadowsky 2006], [Sadowsky 2007], [Chintalapani 2009b], [Chintalapani 2010]). 
-\\ 
-\\ 
-\\ 
-\\ 
-======Model Completion, Given Partial CT + X-rays====== 
-{{ :​research:​gouthami_pelvis.png?​350|}} 
-Information may be fused from multiple sources to produce a model. ​ For example, Chintalapani //et al.// 
-have combined preoperative CT images of a limited portion of the pelvis with a statistical atlas and  
-a limited number of x-ray images to create a model that may be used for preoperative planning ​ 
-and intraoperative registration in periacetabular osteotomies [Chintalapani 2010].  ​ 
-A fuller description of the overall system may be found in [Arminger 2007] and [Lepisto 2008]. 
-\\ 
-\\ 
-\\ 
-\\ 
-\\ 
-\\ 
-======3D Biomechanics Calculations from a Sparse Set of DXA Images====== 
-{{ :​research:​dxa-vxa.png?​350|}} 
-Another project has involved the use of a statistical atlas constructed from Quantitative CT (QCT)  
-images of the proximal femur [Wilson 2007] to construct "​volumetric DXA (VXA)" models from a sparse set of  
-dual-energy (DXA) images [Ahmad 2010]. ​ These VXA models are then used to compute biomechanical 
-measures that may be used to predict fracture risk.  ​ 
-\\ 
-\\ 
-\\ 
-\\ 
-\\ 
-\\ 
-======Fusion of video with segmented preoperative models====== 
-{{ :​research:​kidney_overlay.png?​350|}} 
-Other projects have emphasized the fusion of segmented preoperative models 
-with intraoperative endoscopic video. ​ In one example [Su 2009],​video ​ 
-from a DaVinci stereo endoscope was used to create a 3D surface model 
-of a kidney undergoing laparoscopic partial nephrectomy. ​ This model 
-was then registered to a segmented preoperative CT model to create ​ 
-stereoscopic video overlay visualizations. ​ In other projects ​ 
-(e.g., [Burschka 2005], [Mirota 2009], [Mirota 2011], [Uneri 2012]), video  
-has been fused with segmented volumetric models for skull base and head and neck surgery. 
-\\ 
-\\ 
-\\ 
-======References====== 
-  * [Ahmad 2010] O. Ahmad, K. Ramamurthi, K. Wilson, K. Engelke, R. Prince, and R. Taylor, "​Volumetric DXA (VXA) – A New Method to Extract 3D Information from Multiple In Vivo DXA Images",​ Journal of Bone and Mineral Research (JBMR), vol. 25- 12, pp. 2468-2475, ​ 2010. http://​onlinelibrary.wiley.com/​doi/​10.1002/​jbmr.140/​full ​  DOI 10.1002/​jbmr.140,​ PMC20533301. 
-  * [Arminger 2007] R. Armiger, M. Armand, J. Lepisto, D. Minhas, K. Tallroth, S. Mears, M. Waites, and R. H. Taylor, "​Evaluation of a Computerized Measurement Technique for Joint Alignment Before and During Periacetabular Osteotomy",​ Computer Aided Surgery,, vol. 12- 4, pp. 215-224, ​ 2007.    ​ 
-  * [Burschka 2005] D. Burschka, M. Li, R. Taylor, G. D. Hager, and M. Ishii, "​Scale-Invariant Registration of Monocular Endoscopic Images to CT-Scans for Sinus Surgery",​ Medical Image Analysis, vol. 9- 5, pp. 413-439, October, ​ 2005.    ​ 
-  * [Chintalapani 2007a] G. Chintalapani,​ L. M. Ellingsen, O. Sadowsky, J. L. Prince, and R. H. Taylor, "​Statistical Atlases of Bone Anatomy: Construction,​ Iterative Improvement and Validation",​ in Proc. 10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Brisbane, Australia, October, 2007.  pp. 499-506. 
-  * [Chintalapani 2007b] G. Chintalapani,​ O. Sadowsky, L. M. Ellingsen, J. L. Prince, and R. H. Taylor, "​Integrating Statistical Models of Bone Density into Shape Based 2D-3D Registration Framework.",​ in PMMIA: A workshop in Conjunction with MICCAI '09, London, 2009.  pp. 151-161.  ​ 
-  * [Chintalapani 2009] G. Chintalapani and R. H. Taylor., "​Construction of Multi-Component Statistical Shape Models of Bone Anatomy (Abstract in Proceedings)",​ in Computer Assisted Orthopaedic Surgery (CAOS), 2009.    
-  * [Chintalapani 2010] G. Chintalapani,​ R. Murphy, R. Armiger, J. Lepistos, Y. Otake, N. Sugano, R. H. Taylor, and M. Armand, "​Statistical Atlas Based Extrapolation of CT Data for Planning Periacetabular Osteotomy",​ in Medical Imaging 2010: Visualization,​ Image-Guided Procedures, and Modeling, 2010.  pp. 539-548. DOI:​10.1117/​12.845570 ​ 
-  * [[http://​dx.doi.org/​10.1016/​j.compmedimag.2009.05.003|[Ellingsen 2009]]] L. M. Ellingsen, G. Chintalapani,​ R. H. Taylor, and J. L. Prince, "​Robust deformable image registration using prior shape information for atlas to patient registration",​ Computer Medical Imaging and Graphics, vol. 34- 1, pp. 79-90, ​ 2009.      ​ 
-  * [Lepisto 2008] J. Lepisto, M. Armand, and R. Armiger, "​Periacetabular osteotomy in adult hip dysplasia – developing a computer aided real-time biomechanical guiding system (BGS)",​ Suomen Ortopedia ja Traumatologia,​ vol. 31-, pp. 186-190, February, ​ 2008.    ​ 
-  * [Mirota 2009] D. Mirota, H. Wang, R. Taylor, M. Ishii, and H. Wang, "​Toward Video-Based Navigation for Endoscopic Endonasal Skull Base Surgery",​ in Medical Image Computing and Computer-Assisted Intervention (MICCAI), London, Sept 20-24, 2009.  pp. 91-99. PMID: Pending ​ 
-  * [Mirota 2011] D. J. Mirota, A. Uneri, S. Schafer, S. Nithiananthan,​ D. D. Reh, G. L. Gallia, R. H. Taylor, G. D. Hager, and J. H. Siewerdsen, "​High-accuracy 3D image-based registration of endoscopic video to C-arm cone-beam CT for image-guided skull base surgery",​ in Medical Imaging 2011: Visualization,​ Image-Guided Procedures, and Modeling, Orlando, 79640J-1 to 79640J-10, 2011.    
-  * [Sadowsky 2006a] O. Sadowsky, J. Cohen, and R. H. Taylor "​Projected Tetrahedra Revisited: A Barycentric Formulation Applied to Digital Radiograph Reconstruction Using Higher-Order Attenuation Functions",​ IEEE Transactions On Visualization and Computer Graphics, vol. 12- 4, pp. 461-473, July/​August, ​ 2006.    ​ 
-  * [Sadowsky 2006b] O. Sadowsky, K. Ramamurthi, L. M. Ellingsen, G. Chintalapani,​ J. L. Prince, and R. H. Taylor "​Atlas-Assisted Tomography: Registration of a Deformable Atlas to Compensate for Limited-Angle Cone-Beam Trajectory",​ in ISBI, Arlington, Va., April, 2006.    
-  * [Sadowsky 2007] O. Sadowsky, G. Chintalapani,​ and R. H. Taylor, "​Deformable 2D-3D Registration of the Pelvis with a Limited Field of View, Using Shape Statistics",​ in MICCAI, Brisbane, Australia, 2007.  pp. 519–526. PMID: 18044608 ​ 
-  * [Sadowsky 2010] O. Sadowsky, J. Lee, E. G. Sutter, S. J. Wall, J. L. Prince, and R. H. Taylor, " Hybrid Cone-Beam Tomographic Reconstruction:​ Incorporation of Prior Anatomical Models to Compensate for Missing Data", IEEE Trans. on Medical Imaging, vol. In press-Epub date July 26-,  2010. Pubmed ID 20667807. 
-  * [Seshamani 2011] S. Seshamani, G. Chintalapani,​ and R. Taylor, "​Iterative Refinement of Point Correspondences for 3D Statistical Shape Models",​ in Medical Image Computing and Computer-Assisted Intervention (MICCAI), Toronto, September 18-22, 2011.  pp. 417-425.  ​ 
-  * [Su 2009] L.-M. Su, B. P. Vagvolgyi, R. Agarwal, C. E. Reiley, R. H. Taylor, and G. D. Hager, "​Augmented Reality During Robot-assisted Laparoscopic Partial Nephrectomy:​ Toward Real-Time 3D-CT to Stereoscopic Video Registration",​ Urology, vol. 73- 4, pp. 896-900, Apr,  2009.    PMID: 1919340 
-  * [Uneri 2012] A. Uneri, S. Schafer, D. Mirota, S. Nithiananthan,​ Y. Otake, R. H. Taylor, G. Gallia, A. Khanna, S. Lee, D. Reg, and J. H. Siewerdsen, "TREK: An Integrated System Architecture for Intraoperative Cone-Beam CT Guided Surgery",​ Int J Comput Assist Radiol Surg vol. 7- 1, pp. 159-73, Jul. 9 (epub), ​ 2012.    0.1007/​s11548-011-0636-7 
-  * [Wilson 2007] K. Wilson, O. Ahmad, K. Ramamurthy, K. Engelke, and R. Taylor, "A statistical atlas of the proximal femur",​ Journal of Clinical Densitometry,​ vol. 10- 2, p. S223, 6 May,  2007.    ​ 
-  * [Yao 2002] J. Yao and R. H. Taylor, "​Deformable registration between a statistical bone density atlas and X-ray images",​ in Second International Conference on Computer Assisted Orthopaedic Surgery (CAOS 2002), Santa Fe, June 18-23, 2002.    
-  * [Yao 2003a] J. Yao and R. H. Taylor, "​Non-Rigid Registration and Correspondence in Medical Image Analysis Using Multiple-Layer Flexible Mesh Template Matching",​ International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), vol. 17- 7, pp. 1145-1165, ​ 2003. 
-  * [Yao 2003b] J. Yao and R. H. Taylor, "​Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model",​ in Ninth Int. Conference on Computer Vision, Nice, October 12-16, 2003.  pp. 1329-1334.  ​ 
- 
  
research.prior_knowledge.txt · Last modified: 2019/08/07 12:01 (external edit)




ERC CISST    LCSR    WSE    JHU