Image guided interactive volume visualization for confocal microscopy data exploration

Tom Biddlecome, Shiaofen Fang, Ken Dunn, Mihran Tuceryan

Research output: Contribution to journalConference article

Abstract

3D microscopy visualization has the potential of playing a significant role in the study of 3D cellular structures in biomedical research. Such potential, however, has not been fully realized due to the difficulties of current visualization methods in coping with the unique nature of microscopy image volumes, such as low image contrast, noise and unknown transfer functions. In this paper, we present a new 3D microscopy imaging approach that integrates volume visualization and 3D image processing techniques for interactive 3D data exploration and analysis. By embedding 3D image enhancement procedures into the volume visualization pipeline, we are able to automatically generate image-dependent transfer functions to reveal subtle features that are otherwise difficult to visualize. It allows the users to interactively manipulate a small number of parameters to achieve desired visualization effects. Other 3D image processing techniques, such as quantification and segmentation, may also be integrated within the data exploration process for interactive image analysis.

Original languageEnglish (US)
Pages (from-to)130-140
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3335
DOIs
StatePublished - Dec 1 1998
EventMedical Imaging 1998: Image Display - San Diego, CA, United States
Duration: Feb 22 1998Feb 24 1998

Keywords

  • 3D microscopy imaging
  • Image enhancement
  • Image processing
  • Volume visualization

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Image guided interactive volume visualization for confocal microscopy data exploration. / Biddlecome, Tom; Fang, Shiaofen; Dunn, Ken; Tuceryan, Mihran.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 3335, 01.12.1998, p. 130-140.

Research output: Contribution to journalConference article

@article{9de103e0df514fcb9ab9d4940e329824,
title = "Image guided interactive volume visualization for confocal microscopy data exploration",
abstract = "3D microscopy visualization has the potential of playing a significant role in the study of 3D cellular structures in biomedical research. Such potential, however, has not been fully realized due to the difficulties of current visualization methods in coping with the unique nature of microscopy image volumes, such as low image contrast, noise and unknown transfer functions. In this paper, we present a new 3D microscopy imaging approach that integrates volume visualization and 3D image processing techniques for interactive 3D data exploration and analysis. By embedding 3D image enhancement procedures into the volume visualization pipeline, we are able to automatically generate image-dependent transfer functions to reveal subtle features that are otherwise difficult to visualize. It allows the users to interactively manipulate a small number of parameters to achieve desired visualization effects. Other 3D image processing techniques, such as quantification and segmentation, may also be integrated within the data exploration process for interactive image analysis.",
keywords = "3D microscopy imaging, Image enhancement, Image processing, Volume visualization",
author = "Tom Biddlecome and Shiaofen Fang and Ken Dunn and Mihran Tuceryan",
year = "1998",
month = "12",
day = "1",
doi = "10.1117/12.312486",
language = "English (US)",
volume = "3335",
pages = "130--140",
journal = "Proceedings of SPIE - The International Society for Optical Engineering",
issn = "0277-786X",
publisher = "SPIE",

}

TY - JOUR

T1 - Image guided interactive volume visualization for confocal microscopy data exploration

AU - Biddlecome, Tom

AU - Fang, Shiaofen

AU - Dunn, Ken

AU - Tuceryan, Mihran

PY - 1998/12/1

Y1 - 1998/12/1

N2 - 3D microscopy visualization has the potential of playing a significant role in the study of 3D cellular structures in biomedical research. Such potential, however, has not been fully realized due to the difficulties of current visualization methods in coping with the unique nature of microscopy image volumes, such as low image contrast, noise and unknown transfer functions. In this paper, we present a new 3D microscopy imaging approach that integrates volume visualization and 3D image processing techniques for interactive 3D data exploration and analysis. By embedding 3D image enhancement procedures into the volume visualization pipeline, we are able to automatically generate image-dependent transfer functions to reveal subtle features that are otherwise difficult to visualize. It allows the users to interactively manipulate a small number of parameters to achieve desired visualization effects. Other 3D image processing techniques, such as quantification and segmentation, may also be integrated within the data exploration process for interactive image analysis.

AB - 3D microscopy visualization has the potential of playing a significant role in the study of 3D cellular structures in biomedical research. Such potential, however, has not been fully realized due to the difficulties of current visualization methods in coping with the unique nature of microscopy image volumes, such as low image contrast, noise and unknown transfer functions. In this paper, we present a new 3D microscopy imaging approach that integrates volume visualization and 3D image processing techniques for interactive 3D data exploration and analysis. By embedding 3D image enhancement procedures into the volume visualization pipeline, we are able to automatically generate image-dependent transfer functions to reveal subtle features that are otherwise difficult to visualize. It allows the users to interactively manipulate a small number of parameters to achieve desired visualization effects. Other 3D image processing techniques, such as quantification and segmentation, may also be integrated within the data exploration process for interactive image analysis.

KW - 3D microscopy imaging

KW - Image enhancement

KW - Image processing

KW - Volume visualization

UR - http://www.scopus.com/inward/record.url?scp=0032401608&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032401608&partnerID=8YFLogxK

U2 - 10.1117/12.312486

DO - 10.1117/12.312486

M3 - Conference article

AN - SCOPUS:0032401608

VL - 3335

SP - 130

EP - 140

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

SN - 0277-786X

ER -