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» Sparse topological data recovery in medical images
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CGF
2010
126views more  CGF 2010»
13 years 7 months ago
Contour-based Interface for Refining Volume Segmentation
Medical volume images contain ambiguous and low-contrast boundaries around which existing fully- or semiautomatic segmentation algorithms often cause errors. In this paper, we pro...
Takashi Ijiri, Hideo Yokota
ICCV
1995
IEEE
13 years 11 months ago
Algorithms for Implicit Deformable Models
This paper presents a framework for implicit deformable models and a pair of new algorithms for solving the nonlinear partial di erential equations that result from this framework...
Ross T. Whitaker
MICCAI
1999
Springer
13 years 12 months ago
Rendering the Unfolded Cerebral Cortex
Classical volume rendering is computed by casting a bundle of parallel rays from a flat viewing plane onto the volume data set, and produces as such a spatially limited view of the...
Junfeng Guo, Ioan Alexandru Salomie, Rudi Deklerck...
EMMCVPR
2011
Springer
12 years 7 months ago
High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery
The challenge of recovering the topology of massive neuronal circuits can potentially be met by high throughput Electron Microscopy (EM) imagery. Segmenting a 3-dimensional stack o...
Daniel Glasner, Tao Hu, Juan Nunez-Iglesias, Lou S...
TMI
2011
127views more  TMI 2011»
13 years 2 months ago
Reconstruction of Large, Irregularly Sampled Multidimensional Images. A Tensor-Based Approach
Abstract—Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this prob...
Oleksii Vyacheslav Morozov, Michael Unser, Patrick...