Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast volume rendering using a shear-warp factorization of the viewing transformation
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Interactive segmentation with Intelligent Scissors
Graphical Models and Image Processing
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Soft Tissue Deformation and Cutting Simulation for the Multimodal Surgery Training
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
Interactive Volume Exploration for Feature Detection and Quantification in Industrial CT Data
IEEE Transactions on Visualization and Computer Graphics
Region growing: a new approach
IEEE Transactions on Image Processing
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
| Hi-index | 12.05 |
In surgery simulation, the extracted tissue data can be operated repeatedly in a Virtual-reality (VR) system which provides a good alternative to classical training method. Fully automated segmentation techniques cannot guarantee the efficiency and precision in general case. This paper describes a user interactive segmentation method: given a labeled 2D image plane in Multi-Planar Reformation (MPR), the rest tissues are segmented automatically by a cellular automaton in multi-scale domain. Labels image generated in higher level Gaussian pyramid can be extended to lower level ones according to selected resolution. An edge indicator function is also set to avoid over-segmentation in Laplacian pyramid. The evolution can be observed and guided with volume rendering results. The proposed method shows the merits of higher precision, real time response in GPU framework and few interactions are required.