A novel iterative optimizing quantization technique and its application to X-ray tomographic microscopy for three-dimensional reconstruction from a limited number of views

Heung Rae Lee, Luiz DaSilva, Gary Ford, Waleed Haddad, Ian McNulty, James Trebes, Yin Yeh

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The iterative optimizing quantization technique (IOQT) is a novel method in reconstructing three-dimensional (3D) images from a limited number of 2D projections. IOQT can reduce the artifacts and image distortion due to a limited number of projections and limited range of viewing angles. Equivalently, by reducing the number of projections required for reconstruction, the use of IOQT can reduce the dose delivered to the specimen, simplify the complexity of an experimental setup, and consequently support the development of techniques to nondestructively image microstructures of materials. In this article, we will demonstrate the capability of IOQT to reconstruct an accurate 30 image of an object from a limited number of views, using a computer simulation and an actual 3D test pattern experiment with submicrometer features. In addition, we will introduce a promising application of IOQT to X-ray tomographic microscopy to study microbiological specimens by presenting the 3D reconstructions of the two different-conditioned human sperm cells from six projections.

Original languageEnglish (US)
Pages (from-to)204-213
Number of pages10
JournalInternational Journal of Imaging Systems and Technology
Volume8
Issue number2
StatePublished - 1997
Externally publishedYes

Fingerprint

Microscopic examination
microscopy
X rays
Microstructure
projection
Computer simulation
x rays
Experiments
artifacts
computerized simulation
dosage
microstructure
cells

Keywords

  • Iterative optimization technique
  • Limited number of views
  • Tomography
  • X-ray tomographic microscopy

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

Cite this

A novel iterative optimizing quantization technique and its application to X-ray tomographic microscopy for three-dimensional reconstruction from a limited number of views. / Lee, Heung Rae; DaSilva, Luiz; Ford, Gary; Haddad, Waleed; McNulty, Ian; Trebes, James; Yeh, Yin.

In: International Journal of Imaging Systems and Technology, Vol. 8, No. 2, 1997, p. 204-213.

Research output: Contribution to journalArticle

@article{75dfd58e2bca44f58bb24bbf3035ee2f,
title = "A novel iterative optimizing quantization technique and its application to X-ray tomographic microscopy for three-dimensional reconstruction from a limited number of views",
abstract = "The iterative optimizing quantization technique (IOQT) is a novel method in reconstructing three-dimensional (3D) images from a limited number of 2D projections. IOQT can reduce the artifacts and image distortion due to a limited number of projections and limited range of viewing angles. Equivalently, by reducing the number of projections required for reconstruction, the use of IOQT can reduce the dose delivered to the specimen, simplify the complexity of an experimental setup, and consequently support the development of techniques to nondestructively image microstructures of materials. In this article, we will demonstrate the capability of IOQT to reconstruct an accurate 30 image of an object from a limited number of views, using a computer simulation and an actual 3D test pattern experiment with submicrometer features. In addition, we will introduce a promising application of IOQT to X-ray tomographic microscopy to study microbiological specimens by presenting the 3D reconstructions of the two different-conditioned human sperm cells from six projections.",
keywords = "Iterative optimization technique, Limited number of views, Tomography, X-ray tomographic microscopy",
author = "Lee, {Heung Rae} and Luiz DaSilva and Gary Ford and Waleed Haddad and Ian McNulty and James Trebes and Yin Yeh",
year = "1997",
language = "English (US)",
volume = "8",
pages = "204--213",
journal = "International Journal of Imaging Systems and Technology",
issn = "0899-9457",
publisher = "John Wiley and Sons Inc.",
number = "2",

}

TY - JOUR

T1 - A novel iterative optimizing quantization technique and its application to X-ray tomographic microscopy for three-dimensional reconstruction from a limited number of views

AU - Lee, Heung Rae

AU - DaSilva, Luiz

AU - Ford, Gary

AU - Haddad, Waleed

AU - McNulty, Ian

AU - Trebes, James

AU - Yeh, Yin

PY - 1997

Y1 - 1997

N2 - The iterative optimizing quantization technique (IOQT) is a novel method in reconstructing three-dimensional (3D) images from a limited number of 2D projections. IOQT can reduce the artifacts and image distortion due to a limited number of projections and limited range of viewing angles. Equivalently, by reducing the number of projections required for reconstruction, the use of IOQT can reduce the dose delivered to the specimen, simplify the complexity of an experimental setup, and consequently support the development of techniques to nondestructively image microstructures of materials. In this article, we will demonstrate the capability of IOQT to reconstruct an accurate 30 image of an object from a limited number of views, using a computer simulation and an actual 3D test pattern experiment with submicrometer features. In addition, we will introduce a promising application of IOQT to X-ray tomographic microscopy to study microbiological specimens by presenting the 3D reconstructions of the two different-conditioned human sperm cells from six projections.

AB - The iterative optimizing quantization technique (IOQT) is a novel method in reconstructing three-dimensional (3D) images from a limited number of 2D projections. IOQT can reduce the artifacts and image distortion due to a limited number of projections and limited range of viewing angles. Equivalently, by reducing the number of projections required for reconstruction, the use of IOQT can reduce the dose delivered to the specimen, simplify the complexity of an experimental setup, and consequently support the development of techniques to nondestructively image microstructures of materials. In this article, we will demonstrate the capability of IOQT to reconstruct an accurate 30 image of an object from a limited number of views, using a computer simulation and an actual 3D test pattern experiment with submicrometer features. In addition, we will introduce a promising application of IOQT to X-ray tomographic microscopy to study microbiological specimens by presenting the 3D reconstructions of the two different-conditioned human sperm cells from six projections.

KW - Iterative optimization technique

KW - Limited number of views

KW - Tomography

KW - X-ray tomographic microscopy

UR - http://www.scopus.com/inward/record.url?scp=0030651837&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030651837&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0030651837

VL - 8

SP - 204

EP - 213

JO - International Journal of Imaging Systems and Technology

JF - International Journal of Imaging Systems and Technology

SN - 0899-9457

IS - 2

ER -