Fast registration technique of MR and SPECT brain images

Yung-Nien Sun, Shu Chien Huang, Ti Chiun Chang, Fwn Jeng Chen, Nan-Tsing Chiu

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

In this paper, we focus on the 3D registration between the MR and SPECT brain images. It is undoubted that the human brain does not change its shape during imaging processes, registration of these two image sets can be modeled as a rigid body motion problem. Since the size of each voxel in MR and SPECT images is given, our goal is to find out three translation parameters and three rotation parameters of the motion and then match the object to a fixed position. In this paper, a hybrid method composed of homologous feature registration and surface fitting is developed. The centers of the two eyeballs are used as the feature sets for registration. Therefore, we can solve the three translation parameters and two rotation parameters. We then reslice the volume data. The remaining rotation parameter is determined by minimizing the surface distance, in the resliced 2D images. After obtaining all these parameters, the transformation matrix is determined, and the registration is well done.

Original languageEnglish
Pages (from-to)1442-1449
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3338
DOIs
Publication statusPublished - 1998 Dec 1
EventMedical Imaging 1998: Image Processing - San Diego, CA, United States
Duration: 1998 Feb 231998 Feb 23

Fingerprint

SPECT
Registration
brain
Brain
Imaging techniques
Surface Fitting
Rigid Body Motion
Transformation Matrix
Voxel
rigid structures
Hybrid Method
Imaging
Motion

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

@article{1fdb9dd071e9447e840fd2da6046d9f3,
title = "Fast registration technique of MR and SPECT brain images",
abstract = "In this paper, we focus on the 3D registration between the MR and SPECT brain images. It is undoubted that the human brain does not change its shape during imaging processes, registration of these two image sets can be modeled as a rigid body motion problem. Since the size of each voxel in MR and SPECT images is given, our goal is to find out three translation parameters and three rotation parameters of the motion and then match the object to a fixed position. In this paper, a hybrid method composed of homologous feature registration and surface fitting is developed. The centers of the two eyeballs are used as the feature sets for registration. Therefore, we can solve the three translation parameters and two rotation parameters. We then reslice the volume data. The remaining rotation parameter is determined by minimizing the surface distance, in the resliced 2D images. After obtaining all these parameters, the transformation matrix is determined, and the registration is well done.",
author = "Yung-Nien Sun and Huang, {Shu Chien} and Chang, {Ti Chiun} and Chen, {Fwn Jeng} and Nan-Tsing Chiu",
year = "1998",
month = "12",
day = "1",
doi = "10.1117/12.310876",
language = "English",
volume = "3338",
pages = "1442--1449",
journal = "Proceedings of SPIE - The International Society for Optical Engineering",
issn = "0277-786X",
publisher = "SPIE",

}

Fast registration technique of MR and SPECT brain images. / Sun, Yung-Nien; Huang, Shu Chien; Chang, Ti Chiun; Chen, Fwn Jeng; Chiu, Nan-Tsing.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 3338, 01.12.1998, p. 1442-1449.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Fast registration technique of MR and SPECT brain images

AU - Sun, Yung-Nien

AU - Huang, Shu Chien

AU - Chang, Ti Chiun

AU - Chen, Fwn Jeng

AU - Chiu, Nan-Tsing

PY - 1998/12/1

Y1 - 1998/12/1

N2 - In this paper, we focus on the 3D registration between the MR and SPECT brain images. It is undoubted that the human brain does not change its shape during imaging processes, registration of these two image sets can be modeled as a rigid body motion problem. Since the size of each voxel in MR and SPECT images is given, our goal is to find out three translation parameters and three rotation parameters of the motion and then match the object to a fixed position. In this paper, a hybrid method composed of homologous feature registration and surface fitting is developed. The centers of the two eyeballs are used as the feature sets for registration. Therefore, we can solve the three translation parameters and two rotation parameters. We then reslice the volume data. The remaining rotation parameter is determined by minimizing the surface distance, in the resliced 2D images. After obtaining all these parameters, the transformation matrix is determined, and the registration is well done.

AB - In this paper, we focus on the 3D registration between the MR and SPECT brain images. It is undoubted that the human brain does not change its shape during imaging processes, registration of these two image sets can be modeled as a rigid body motion problem. Since the size of each voxel in MR and SPECT images is given, our goal is to find out three translation parameters and three rotation parameters of the motion and then match the object to a fixed position. In this paper, a hybrid method composed of homologous feature registration and surface fitting is developed. The centers of the two eyeballs are used as the feature sets for registration. Therefore, we can solve the three translation parameters and two rotation parameters. We then reslice the volume data. The remaining rotation parameter is determined by minimizing the surface distance, in the resliced 2D images. After obtaining all these parameters, the transformation matrix is determined, and the registration is well done.

UR - http://www.scopus.com/inward/record.url?scp=0010304163&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0010304163&partnerID=8YFLogxK

U2 - 10.1117/12.310876

DO - 10.1117/12.310876

M3 - Conference article

AN - SCOPUS:0010304163

VL - 3338

SP - 1442

EP - 1449

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

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

SN - 0277-786X

ER -