High-Performance and Real-Time Volume Rendering in CUDA

In order to improve the image quality and rendering speed, how to deal with a large scale of voxel computation is a challenge for programmers who work at medical image visualization. CUDA is a parallel programming model and software environment designed to overcome this challenge while maintaining a...

Full description

Saved in:
Bibliographic Details
Published in2009 2nd International Conference on Biomedical Engineering and Informatics pp. 1 - 4
Main Authors Yue Zhao, Xiaoyu Cui, Ying Cheng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Biomedical imaging
Image quality
Large-scale systems
Parallel programming
Programming profession
Rendering (computer graphics)
Software design
Software maintenance
Software performance
Visualization
Online AccessGet full text
ISBN9781424441327
1424441323
ISSN1948-2914
DOI10.1109/BMEI.2009.5304981

Cover

Abstract In order to improve the image quality and rendering speed, how to deal with a large scale of voxel computation is a challenge for programmers who work at medical image visualization. CUDA is a parallel programming model and software environment designed to overcome this challenge while maintaining a low learning curve for programmers familiar with standard programming languages such as C. In this paper, we propose an optimization algorithm of volume ray casting using CUDA; compare the performance to previous implementation in old version of GPU. The experiments show that our method can achieve a high image quality and rendering speed.
AbstractList In order to improve the image quality and rendering speed, how to deal with a large scale of voxel computation is a challenge for programmers who work at medical image visualization. CUDA is a parallel programming model and software environment designed to overcome this challenge while maintaining a low learning curve for programmers familiar with standard programming languages such as C. In this paper, we propose an optimization algorithm of volume ray casting using CUDA; compare the performance to previous implementation in old version of GPU. The experiments show that our method can achieve a high image quality and rendering speed.
Author Xiaoyu Cui
Yue Zhao
Ying Cheng
Author_xml – sequence: 1
  surname: Yue Zhao
  fullname: Yue Zhao
  organization: Sino-Dutch Biomed. & Inf. Eng. Sch., Northeastern Univ., Shenyang, China
– sequence: 2
  surname: Xiaoyu Cui
  fullname: Xiaoyu Cui
  organization: Sino-Dutch Biomed. & Inf. Eng. Sch., Northeastern Univ., Shenyang, China
– sequence: 3
  surname: Ying Cheng
  fullname: Ying Cheng
  organization: Sino-Dutch Biomed. & Inf. Eng. Sch., Northeastern Univ., Shenyang, China
BookMark eNo1kEFLw0AUhFdswabmB4iX_IHE9zYv2d1jjdUWKkqJ4q2s3d26kmwk0YP_3oj1NAzDDB8TsUnogmXsAiFDBHV1fb9cZxxAZUUOpCSesAiJExHm9HLKYiXkv-diwmaoSKZcIU1Z9NtTMAbqjMXD8A4AqErFRT5jYuUPb-mj7V3XtzrsbaKDSbZWN2ntW5s8d83XKFsbjO19OCQ-JNXTzeKcTZ1uBhsfdc7q22VdrdLNw926WmxSr-AztZrIaOOERpKABI7cSALCCCFJoHl1I7EszF6A02WRoyh5aZyTBKU2Kp-zy79Zb63dffS-1f337vhB_gP_RErP
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/BMEI.2009.5304981
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISBN 142444134X
9781424441341
EndPage 4
ExternalDocumentID 5304981
Genre orig-research
GroupedDBID 6IE
6IF
6IH
6IK
6IL
6IN
AAJGR
AAWTH
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
IPLJI
OCL
RIE
RIL
ID FETCH-LOGICAL-i90t-ea44dadf7a1480140f4f90107d778471dbf44185dc70fa65317626dff8406ad93
IEDL.DBID RIE
ISBN 9781424441327
1424441323
ISSN 1948-2914
IngestDate Wed Aug 27 02:26:44 EDT 2025
IsPeerReviewed false
IsScholarly false
LCCN 2009901329
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i90t-ea44dadf7a1480140f4f90107d778471dbf44185dc70fa65317626dff8406ad93
PageCount 4
ParticipantIDs ieee_primary_5304981
PublicationCentury 2000
PublicationDate 2009-Oct.
PublicationDateYYYYMMDD 2009-10-01
PublicationDate_xml – month: 10
  year: 2009
  text: 2009-Oct.
PublicationDecade 2000
PublicationTitle 2009 2nd International Conference on Biomedical Engineering and Informatics
PublicationTitleAbbrev BMEI
PublicationYear 2009
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0001969273
ssj0000452971
Score 1.4754076
Snippet In order to improve the image quality and rendering speed, how to deal with a large scale of voxel computation is a challenge for programmers who work at...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms Biomedical imaging
Image quality
Large-scale systems
Parallel programming
Programming profession
Rendering (computer graphics)
Software design
Software maintenance
Software performance
Visualization
Title High-Performance and Real-Time Volume Rendering in CUDA
URI https://ieeexplore.ieee.org/document/5304981
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT8JAEN4gJ734AOM7e_DoQmm3u-xREYImGGLAcCP7TNCkGFMu_npntwuo8eCt3aRpp01nvp2Z7xuErrVQeZZTRTjAcUKFUUQpzQlLLeOKCZpJnxoYPbHhlD7O8lkN3Wy4MNba0HxmW_4w1PLNUq98qqyd-5qQ51nv8C6ruFqbfIqXBhcR2rxG2Zc0FJhhm-6JBmHCU-B1gd9Os7XcUzznseLZSUT7btR_qJQs4w1_TF4JgWewj0brR676Td5aq1K19OcvNcf_2nSAmluKHx5vgtchqtniCO19UydsIO57QMh4yyzAsjD4GZAl8cQR_BIcGyx4fgxcgRcF7k3vb5toMuhPekMS5yyQhUhKYiWlRhrHZSdoySSOOt-0wQ3nPnYZ5aiXuDGaJ04y-GnBgTLjHOwNmTQiO0b1YlnYE4StzlQKQDilFqzSna6E_RfA91wlWjMjT1HDv4H5e6WkMY_Gn_29fI52Q-0mtM5doHr5sbKXAAFKdRW-_RclIKYN
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT8JAEJ4QPKgXH2B8uwePLpR2H_aoCAGlhBgw3Mi-mqBJMaZc_PXubguo8eCt3aRpp2lnvp2Z7xuAaxVLGlEiMbdwHJNYSyyl4piFhnHJYhIJlxpIhqw3IY9TOq3AzZoLY4zxzWem4Q59LV8v1NKlyprU1YQcz3qLEkJowdZaZ1ScOHhcgpvXUvgl9CVmu1F3VAM_48kzu6znDqOV4FN5zsuaZyuIm_dJp19oWZa3_DF7xYee7h4kq4cuOk7eGstcNtTnLz3H_1q1D_UNyQ-N1uHrAComO4Tdb_qENeCuCwSPNtwCJDKNni22xI46gl68a7MLjiFjr0DzDLUnD3d1GHc743YPl5MW8DwOcmwEIVrolIuWV5MJUpK6tg2uOXfRS8uUOJEbrXiQCmZ_W-tCmU5TuztkQsfREVSzRWaOARkVydBC4ZAYa5Vq3Qq7A7MAnspAKabFCdTcG5i9F1oas9L407-Xr2C7N04Gs0F_-HQGO76S4xvpzqGafyzNhQUEubz038EXFCCpWg
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2009+2nd+International+Conference+on+Biomedical+Engineering+and+Informatics&rft.atitle=High-Performance+and+Real-Time+Volume+Rendering+in+CUDA&rft.au=Yue+Zhao&rft.au=Xiaoyu+Cui&rft.au=Ying+Cheng&rft.date=2009-10-01&rft.pub=IEEE&rft.isbn=9781424441327&rft.issn=1948-2914&rft.spage=1&rft.epage=4&rft_id=info:doi/10.1109%2FBMEI.2009.5304981&rft.externalDocID=5304981
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1948-2914&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1948-2914&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1948-2914&client=summon