Innovative visualization and segmentation approaches for telemedicine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In health care applications, we obtain, manage, store and communicate using high quality, large volume of image data through integrated devices. In this paper we propose several promising methods that can assist physicians in image data process and communication. We design a new semi-automated segmentation approach for radiological images, such as CT and MRI to clearly identify the areas of interest. This approach combines the advantages from both the region-based method and boundary-based methods. It has three key steps compose: coarse segmentation by using fuzzy affinity and homogeneity operator, image division and reclassification using the Voronoi Diagram, and refining boundary lines using the level set model.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Volume9214
ISBN (Print)9781628412413
DOIs
StatePublished - 2014
EventMedical Applications of Radiation Detectors IV - San Diego, United States
Duration: Aug 18 2014Aug 21 2014

Other

OtherMedical Applications of Radiation Detectors IV
CountryUnited States
CitySan Diego
Period8/18/148/21/14

Fingerprint

telemedicine
Telemedicine
Health care
Magnetic resonance imaging
Refining
Visualization
Segmentation
Communication
Voronoi diagrams
physicians
Voronoi Diagram
refining
Level Set
Homogeneity
Healthcare
division
health
Affine transformation
homogeneity
affinity

Keywords

  • Fuzzy affinity
  • Large volume of image data
  • Segmentation
  • The Level Set model
  • The Voronoi Diagram

ASJC Scopus subject areas

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

Cite this

Nguyen, D., Roehrig, H., Borders, M. H., Fitzpatrick, K. A., & Wang, M. (2014). Innovative visualization and segmentation approaches for telemedicine. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 9214). [92140F] SPIE. https://doi.org/10.1117/12.2066183

Innovative visualization and segmentation approaches for telemedicine. / Nguyen, D.; Roehrig, Hans; Borders, Marisa H; Fitzpatrick, Kimberly A; Wang, Meiling.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9214 SPIE, 2014. 92140F.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nguyen, D, Roehrig, H, Borders, MH, Fitzpatrick, KA & Wang, M 2014, Innovative visualization and segmentation approaches for telemedicine. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 9214, 92140F, SPIE, Medical Applications of Radiation Detectors IV, San Diego, United States, 8/18/14. https://doi.org/10.1117/12.2066183
Nguyen D, Roehrig H, Borders MH, Fitzpatrick KA, Wang M. Innovative visualization and segmentation approaches for telemedicine. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9214. SPIE. 2014. 92140F https://doi.org/10.1117/12.2066183
Nguyen, D. ; Roehrig, Hans ; Borders, Marisa H ; Fitzpatrick, Kimberly A ; Wang, Meiling. / Innovative visualization and segmentation approaches for telemedicine. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9214 SPIE, 2014.
@inproceedings{e7c798b3516842649ba1dd3628cb9ae1,
title = "Innovative visualization and segmentation approaches for telemedicine",
abstract = "In health care applications, we obtain, manage, store and communicate using high quality, large volume of image data through integrated devices. In this paper we propose several promising methods that can assist physicians in image data process and communication. We design a new semi-automated segmentation approach for radiological images, such as CT and MRI to clearly identify the areas of interest. This approach combines the advantages from both the region-based method and boundary-based methods. It has three key steps compose: coarse segmentation by using fuzzy affinity and homogeneity operator, image division and reclassification using the Voronoi Diagram, and refining boundary lines using the level set model.",
keywords = "Fuzzy affinity, Large volume of image data, Segmentation, The Level Set model, The Voronoi Diagram",
author = "D. Nguyen and Hans Roehrig and Borders, {Marisa H} and Fitzpatrick, {Kimberly A} and Meiling Wang",
year = "2014",
doi = "10.1117/12.2066183",
language = "English (US)",
isbn = "9781628412413",
volume = "9214",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",

}

TY - GEN

T1 - Innovative visualization and segmentation approaches for telemedicine

AU - Nguyen, D.

AU - Roehrig, Hans

AU - Borders, Marisa H

AU - Fitzpatrick, Kimberly A

AU - Wang, Meiling

PY - 2014

Y1 - 2014

N2 - In health care applications, we obtain, manage, store and communicate using high quality, large volume of image data through integrated devices. In this paper we propose several promising methods that can assist physicians in image data process and communication. We design a new semi-automated segmentation approach for radiological images, such as CT and MRI to clearly identify the areas of interest. This approach combines the advantages from both the region-based method and boundary-based methods. It has three key steps compose: coarse segmentation by using fuzzy affinity and homogeneity operator, image division and reclassification using the Voronoi Diagram, and refining boundary lines using the level set model.

AB - In health care applications, we obtain, manage, store and communicate using high quality, large volume of image data through integrated devices. In this paper we propose several promising methods that can assist physicians in image data process and communication. We design a new semi-automated segmentation approach for radiological images, such as CT and MRI to clearly identify the areas of interest. This approach combines the advantages from both the region-based method and boundary-based methods. It has three key steps compose: coarse segmentation by using fuzzy affinity and homogeneity operator, image division and reclassification using the Voronoi Diagram, and refining boundary lines using the level set model.

KW - Fuzzy affinity

KW - Large volume of image data

KW - Segmentation

KW - The Level Set model

KW - The Voronoi Diagram

UR - http://www.scopus.com/inward/record.url?scp=84922620372&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84922620372&partnerID=8YFLogxK

U2 - 10.1117/12.2066183

DO - 10.1117/12.2066183

M3 - Conference contribution

AN - SCOPUS:84922620372

SN - 9781628412413

VL - 9214

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

PB - SPIE

ER -