Interactive GPU-based maximum intensity projection of large medical data sets using visibility culling based on the initial occluder and the visible block classification-Reference-Cited by-同舟云学术

Interactive GPU-based maximum intensity projection of large medical data sets using visibility culling based on the initial occluder and the visible block classification

Published:2012-07 Issue:5 Volume:36 Page:366-374
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Kye Heewon,Sohn Bong-Soo,Lee Jeongjin

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference31 articles.

1. Standardized analysis of intracranial aneurysms using digital video sequences;Iserhardt-Bauer;Proc Med Image Comput Comput Assist Interv,2002

2. Efficient ray tracing of volume data;Levoy;ACM Trans Graphics,1990

3. Fast volume rendering using a shear–warp factorization of the viewing transformation;Lacroute,1994

4. Acceleration techniques for GPU-based volume rendering;Kruger,2003

5. Empty space skipping and occlusion clipping for texture-based volume rendering;Li,2003

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey on Deep Learning for Precision Oncology;Diagnostics;2022-06-17

2. Acceleration techniques for cubic interpolation MIP volume rendering;Multimedia Tools and Applications;2021-03-12

3. Optimal weighted feature vector and deep belief network for medical data classification;International Journal of Wavelets, Multiresolution and Information Processing;2019-12-03

4. Parallel multiple instance learning for extremely large histopathology image analysis;BMC Bioinformatics;2017-08-03

5. Maximum intensity projection using bidirectional compositing with block skipping;Journal of X-Ray Science and Technology;2015