3-D image enhancement technique for volumetric cardiac images

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

2 Citations (Scopus)

Abstract

In our efforts to devise a semi-automated technique for extracting the left ventricular (LV) chamber from a stack of cardiac X-ray CT images, we found that individual regions within the imagery contained blurred surfaces and were corrupted by noise and other small artifacts. To reduce these degradations, we explored image enhancement techniques. While many nonlinear edge-preserving smoothing filters have been proposed for such situations in two dimensions, we have found that the most suitable technique for our three-dimensional application is the maximum-homogeneity filter. Unfortunately, previous implementations of the maximum-homogeneity filter used fixed ad hoc implementations, thereby limiting their utility. We have developed a three-dimensional generalization of the maximum-homogeneity filter. This filter preserves and sharpens region surfaces. It also reduces random noise and small artifacts within uniform regions. We compare this method to 3-D versions of other popular edge-preserving smoothing filters.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsAlan C. Bovik, E.Williams Higgins
PublisherPubl by Int Soc for Optical Engineering
Pages159-170
Number of pages12
ISBN (Print)0819402923
StatePublished - Dec 1 1990
EventBiomedical Image Processing - Santa Clara, CA, USA
Duration: Feb 12 1990Feb 13 1990

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1245
ISSN (Print)0277-786X

Other

OtherBiomedical Image Processing
CitySanta Clara, CA, USA
Period2/12/902/13/90

Fingerprint

image enhancement
Image enhancement
filters
homogeneity
smoothing
Degradation
X rays
preserving
artifacts
random noise
imagery
chambers
degradation
x rays

All Science Journal Classification (ASJC) codes

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

Cite this

Higgins, W. E. (1990). 3-D image enhancement technique for volumetric cardiac images. In A. C. Bovik, & E. W. Higgins (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (pp. 159-170). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1245). Publ by Int Soc for Optical Engineering.
Higgins, William E. / 3-D image enhancement technique for volumetric cardiac images. Proceedings of SPIE - The International Society for Optical Engineering. editor / Alan C. Bovik ; E.Williams Higgins. Publ by Int Soc for Optical Engineering, 1990. pp. 159-170 (Proceedings of SPIE - The International Society for Optical Engineering).
@inproceedings{d038f52e2b1242d68a7dcce4a05db337,
title = "3-D image enhancement technique for volumetric cardiac images",
abstract = "In our efforts to devise a semi-automated technique for extracting the left ventricular (LV) chamber from a stack of cardiac X-ray CT images, we found that individual regions within the imagery contained blurred surfaces and were corrupted by noise and other small artifacts. To reduce these degradations, we explored image enhancement techniques. While many nonlinear edge-preserving smoothing filters have been proposed for such situations in two dimensions, we have found that the most suitable technique for our three-dimensional application is the maximum-homogeneity filter. Unfortunately, previous implementations of the maximum-homogeneity filter used fixed ad hoc implementations, thereby limiting their utility. We have developed a three-dimensional generalization of the maximum-homogeneity filter. This filter preserves and sharpens region surfaces. It also reduces random noise and small artifacts within uniform regions. We compare this method to 3-D versions of other popular edge-preserving smoothing filters.",
author = "Higgins, {William E.}",
year = "1990",
month = "12",
day = "1",
language = "English (US)",
isbn = "0819402923",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "Publ by Int Soc for Optical Engineering",
pages = "159--170",
editor = "Bovik, {Alan C.} and E.Williams Higgins",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

}

Higgins, WE 1990, 3-D image enhancement technique for volumetric cardiac images. in AC Bovik & EW Higgins (eds), Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 1245, Publ by Int Soc for Optical Engineering, pp. 159-170, Biomedical Image Processing, Santa Clara, CA, USA, 2/12/90.

3-D image enhancement technique for volumetric cardiac images. / Higgins, William E.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / Alan C. Bovik; E.Williams Higgins. Publ by Int Soc for Optical Engineering, 1990. p. 159-170 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1245).

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

TY - GEN

T1 - 3-D image enhancement technique for volumetric cardiac images

AU - Higgins, William E.

PY - 1990/12/1

Y1 - 1990/12/1

N2 - In our efforts to devise a semi-automated technique for extracting the left ventricular (LV) chamber from a stack of cardiac X-ray CT images, we found that individual regions within the imagery contained blurred surfaces and were corrupted by noise and other small artifacts. To reduce these degradations, we explored image enhancement techniques. While many nonlinear edge-preserving smoothing filters have been proposed for such situations in two dimensions, we have found that the most suitable technique for our three-dimensional application is the maximum-homogeneity filter. Unfortunately, previous implementations of the maximum-homogeneity filter used fixed ad hoc implementations, thereby limiting their utility. We have developed a three-dimensional generalization of the maximum-homogeneity filter. This filter preserves and sharpens region surfaces. It also reduces random noise and small artifacts within uniform regions. We compare this method to 3-D versions of other popular edge-preserving smoothing filters.

AB - In our efforts to devise a semi-automated technique for extracting the left ventricular (LV) chamber from a stack of cardiac X-ray CT images, we found that individual regions within the imagery contained blurred surfaces and were corrupted by noise and other small artifacts. To reduce these degradations, we explored image enhancement techniques. While many nonlinear edge-preserving smoothing filters have been proposed for such situations in two dimensions, we have found that the most suitable technique for our three-dimensional application is the maximum-homogeneity filter. Unfortunately, previous implementations of the maximum-homogeneity filter used fixed ad hoc implementations, thereby limiting their utility. We have developed a three-dimensional generalization of the maximum-homogeneity filter. This filter preserves and sharpens region surfaces. It also reduces random noise and small artifacts within uniform regions. We compare this method to 3-D versions of other popular edge-preserving smoothing filters.

UR - http://www.scopus.com/inward/record.url?scp=0025593154&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0025593154&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0025593154

SN - 0819402923

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 159

EP - 170

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

A2 - Bovik, Alan C.

A2 - Higgins, E.Williams

PB - Publ by Int Soc for Optical Engineering

ER -

Higgins WE. 3-D image enhancement technique for volumetric cardiac images. In Bovik AC, Higgins EW, editors, Proceedings of SPIE - The International Society for Optical Engineering. Publ by Int Soc for Optical Engineering. 1990. p. 159-170. (Proceedings of SPIE - The International Society for Optical Engineering).