Solid shape
Medial axis transform to boundary representation conversion
Medial axis transform to boundary representation conversion
Wires: a geometric deformation technique
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
A new Voronoi-based surface reconstruction algorithm
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Skin: a constructive approach to modeling free-form shapes
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Teddy: a sketching interface for 3D freeform design
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
General Object Reconstruction Based on Simplex Meshes
International Journal of Computer Vision
The Use of Active Shape Models for Locating Structures in Medical Images
IPMI '93 Proceedings of the 13th International Conference on Information Processing in Medical Imaging
Segmentation of Medical Image Objects Using Deformable Shape Loci
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Scale-Space Boundary Evolution Initialized by Cores
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Usine Multiscale Medial Models to Guide Volume Visualization
Usine Multiscale Medial Models to Guide Volume Visualization
Height ridges of oriented medialness
Height ridges of oriented medialness
Multiscale Medial Loci and Their Properties
International Journal of Computer Vision - Special Issue on Research at the University of North Carolina Medical Image Display Analysis Group (MIDAG)
Deformable solid modeling via medial sampling and displacement subdivision
Deformable solid modeling via medial sampling and displacement subdivision
Multi-scale 3-D Deformable Model Segmentation Based on Medial Description
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Intuitive, Localized Analysis of Shape Variability
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Medical Image Synthesis via Monte Carlo Simulation
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Deformable Organisms for Automatic Medical Image Analysis
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Multiscale Medial Loci and Their Properties
International Journal of Computer Vision - Special Issue on Research at the University of North Carolina Medical Image Display Analysis Group (MIDAG)
Determining the Geometry of Boundaries of Objects from Medial Data
International Journal of Computer Vision
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
Tree Structure for Contractible Regions in R3
International Journal of Computer Vision
Statistical Multi-Object Shape Models
International Journal of Computer Vision
Diffeomorphic statistical shape models
Image and Vision Computing
A Worm Model Based on Artificial Life for Automatic Segmentation of Medical Images
Medical Imaging and Informatics
3D Brain Segmentation Using Active Appearance Models and Local Regressors
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Discriminative Learning for Deformable Shape Segmentation: A Comparative Study
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Cardiac Medial Modeling and Time-Course Heart Wall Thickness Analysis
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
International Journal of Computer Vision
Model Completion via Deformation Cloning Based on an Explicit Global Deformation Model
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
A Markov random field approach to multi-scale shape analysis
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Line-stepping for shell meshes
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Segmentation of sub-cortical structures by the graph-shifts algorithm
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Regional appearance in deformable model segmentation
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Geometrically proper models in statistical training
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Segmentation of the human trachea using deformable statistical models of tubular shapes
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Active-contour-based image segmentation using machine learning techniques
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Endowing canonical geometries to cardiac structures
STACOM'10/CESC'10 Proceedings of the First international conference on Statistical atlases and computational models of the heart, and international conference on Cardiac electrophysiological simulation challenge
Image estimation from marker locations for dose calculation in prostate radiation therapy
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Statistical modeling of shape and appearance using the continuous medial representation
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Computing medial axes of generic 3D regions bounded by B-spline surfaces
Computer-Aided Design
Anatomical modelling of the musculoskeletal system from MRI
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Registering liver pathological images with prior in vivo CT/MRI data
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Multi-figure anatomical objects for shape statistics
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Hippocampus-Specific fMRI group activation analysis with continuous m-reps
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Statistics of pose and shape in multi-object complexes using principal geodesic analysis
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
A learning based approach for 3d segmentation and colon detagging
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Estimating the statistics of multi-object anatomic geometry using inter-object relationships
DSSCV'05 Proceedings of the First international conference on Deep Structure, Singularities, and Computer Vision
Histogram statistics of local model-relative image regions
DSSCV'05 Proceedings of the First international conference on Deep Structure, Singularities, and Computer Vision
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Automatic analysis of trabecular bone structure from knee MRI
Computers in Biology and Medicine
Computer Graphics Forum
Research on 3D medial axis transform via the saddle point programming method
Computer-Aided Design
Similarity-Based appearance-prior for fitting a subdivision mesh in gene expression images
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Optimal medial surface generation for anatomical volume representations
MICCAI'12 Proceedings of the 4th international conference on Abdominal Imaging: computational and clinical applications
IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
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M-reps (formerly called DSLs) are a multiscale medial means for modeling and rendering 3D solid geometry. They are particularly well suited to model anatomic objects and in particular to capture prior geometric information effectively in deformable models segmentation approaches. The representation is based on figural models, which define objects at coarse scale by a hierarchy of figures—each figure generally a slab representing a solid region and its boundary simultaneously. This paper focuses on the use of single figure models to segment objects of relatively simple structure.A single figure is a sheet of medial atoms, which is interpolated from the model formed by a net, i.e., a mesh or chain, of medial atoms (hence the name m-reps), each atom modeling a solid region via not only a position and a width but also a local figural frame giving figural directions and an object angle between opposing, corresponding positions on the boundary implied by the m-rep. The special capability of an m-rep is to provide spatial and orientational correspondence between an object in two different states of deformation. This ability is central to effective measurement of both geometric typicality and geometry to image match, the two terms of the objective function optimized in segmentation by deformable models. The other ability of m-reps central to effective segmentation is their ability to support segmentation at multiple levels of scale, with successively finer precision. Objects modeled by single figures are segmented first by a similarity transform augmented by object elongation, then by adjustment of each medial atom, and finally by displacing a dense sampling of the m-rep implied boundary. While these models and approaches also exist in 2D, we focus on 3D objects.The segmentation of the kidney from CT and the hippocampus from MRI serve as the major examples in this paper. The accuracy of segmentation as compared to manual, slice-by-slice segmentation is reported.