A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive histogram equalization and its variations
Computer Vision, Graphics, and Image Processing
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Shape Constrained Deformable Models for 3D Medical Image Segmentation
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Use of Shape Models to Search Digitized Spine X-rays
CBMS '00 Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
Cg: a system for programming graphics hardware in a C-like language
ACM SIGGRAPH 2003 Papers
OpenVIDIA: parallel GPU computer vision
Proceedings of the 13th annual ACM international conference on Multimedia
Localized Priors for the Precise Segmentation of Individual Vertebras from CT Volume Data
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Parallel Image Processing Based on CUDA
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 03
An Extension of the StarSs Programming Model for Platforms with Multiple GPUs
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Segmentation of Lumbar Vertebrae Using Part-Based Graphs and Active Appearance Models
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
A Novel 3D Segmentation of Vertebral Bones from Volumetric CT Images Using Graph Cuts
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Vertebral shape: automatic measurement with dynamically sequenced active appearance models
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Automated vertebra identification from x-ray images
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
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The context of this work is related to the vertebra segmentation. The method we propose is based on the active shape model (ASM). An original approach taking advantage of the edge polygonal approximation was developed to locate the vertebra positions in a Xray image. Despite the fact that segmentation results show good efficiency, the time is a key variable that has always to be optimized in a medical context. Therefore, we present how vertebra extraction can efficiently be performed in exploiting the full computing power of parallel (GPU) and heterogeneous (multi-CPU/multi-GPU) architectures. We propose a parallel hybrid implementation of the most intensive steps enabling to boost performance. Experimentations have been conducted using a set of high-resolution X-ray medical images, showing a global speedup ranging from 3 to 22, by comparison with the CPU implementation. Data transfer times between CPU and GPU memories were included in the execution times of our proposed implementation.