Inter-subject MR-PET image registration and integration

K. P. Lin, T. S. Chen, Wei-Jen Yao, L. C. Wu, R. S. Liu, S. C. Huang

研究成果: Paper

1 引文 (Scopus)

摘要

A MR-PET inter-subject image integration technique is developed to provide more precise anatomical location based on a template MR image, and to examine the anatomical variation in sensor-motor stimulation or to obtain cross-subject signal averaging to enhance the delectability of focal brain activity detected by different subject PET images. In this study, a multimodality intra-subject image registration procedure is firstly applied to align MR and PET images of the same subject. The second procedure is to estate an estimate an elastic image transformation that can nonlinearly deform each 3D brain MR image and map them to the template MR image. The estimation procedure of the elastic image transformation is based on a strategy that searches the best local image match to achieve an optimal global image match, iteratively. the final elastic image transformation estimated for each subject will then be used to deform the MR-PET registered PET image. After the nonlinear PET image deformation, MR-PET intersubject mapping, averaging, and fusing are simultaneously accomplished. The developed technique has been implemented to an UNIX based workstation with Motif window system. The software named Elastic-IRIS has few requirements of user interaction. The registered anatomical location of 10 different subjects has standard deviation of approximately 2 mm in the x, y and z directions. The processing time for one MR-PET inter-subject registration ranged from 20 to 30 minutes on a SUN SPARC-20.

原文English
頁面1908-1912
頁數5
出版狀態Published - 1996 十二月 1
事件Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3) - Anaheim, CA, USA
持續時間: 1996 十一月 21996 十一月 9

Other

OtherProceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3)
城市Anaheim, CA, USA
期間96-11-0296-11-09

指紋

Image registration
Brain
UNIX
Computer workstations
Computer systems
Sensors
Processing

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

引用此文

Lin, K. P., Chen, T. S., Yao, W-J., Wu, L. C., Liu, R. S., & Huang, S. C. (1996). Inter-subject MR-PET image registration and integration. 1908-1912. 論文發表於 Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3), Anaheim, CA, USA, .
Lin, K. P. ; Chen, T. S. ; Yao, Wei-Jen ; Wu, L. C. ; Liu, R. S. ; Huang, S. C. / Inter-subject MR-PET image registration and integration. 論文發表於 Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3), Anaheim, CA, USA, .5 p.
@conference{6b06d75e832d4c738e8575ebbccf0334,
title = "Inter-subject MR-PET image registration and integration",
abstract = "A MR-PET inter-subject image integration technique is developed to provide more precise anatomical location based on a template MR image, and to examine the anatomical variation in sensor-motor stimulation or to obtain cross-subject signal averaging to enhance the delectability of focal brain activity detected by different subject PET images. In this study, a multimodality intra-subject image registration procedure is firstly applied to align MR and PET images of the same subject. The second procedure is to estate an estimate an elastic image transformation that can nonlinearly deform each 3D brain MR image and map them to the template MR image. The estimation procedure of the elastic image transformation is based on a strategy that searches the best local image match to achieve an optimal global image match, iteratively. the final elastic image transformation estimated for each subject will then be used to deform the MR-PET registered PET image. After the nonlinear PET image deformation, MR-PET intersubject mapping, averaging, and fusing are simultaneously accomplished. The developed technique has been implemented to an UNIX based workstation with Motif window system. The software named Elastic-IRIS has few requirements of user interaction. The registered anatomical location of 10 different subjects has standard deviation of approximately 2 mm in the x, y and z directions. The processing time for one MR-PET inter-subject registration ranged from 20 to 30 minutes on a SUN SPARC-20.",
author = "Lin, {K. P.} and Chen, {T. S.} and Wei-Jen Yao and Wu, {L. C.} and Liu, {R. S.} and Huang, {S. C.}",
year = "1996",
month = "12",
day = "1",
language = "English",
pages = "1908--1912",
note = "Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3) ; Conference date: 02-11-1996 Through 09-11-1996",

}

Lin, KP, Chen, TS, Yao, W-J, Wu, LC, Liu, RS & Huang, SC 1996, 'Inter-subject MR-PET image registration and integration' 論文發表於 Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3), Anaheim, CA, USA, 96-11-02 - 96-11-09, 頁 1908-1912.

Inter-subject MR-PET image registration and integration. / Lin, K. P.; Chen, T. S.; Yao, Wei-Jen; Wu, L. C.; Liu, R. S.; Huang, S. C.

1996. 1908-1912 論文發表於 Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3), Anaheim, CA, USA, .

研究成果: Paper

TY - CONF

T1 - Inter-subject MR-PET image registration and integration

AU - Lin, K. P.

AU - Chen, T. S.

AU - Yao, Wei-Jen

AU - Wu, L. C.

AU - Liu, R. S.

AU - Huang, S. C.

PY - 1996/12/1

Y1 - 1996/12/1

N2 - A MR-PET inter-subject image integration technique is developed to provide more precise anatomical location based on a template MR image, and to examine the anatomical variation in sensor-motor stimulation or to obtain cross-subject signal averaging to enhance the delectability of focal brain activity detected by different subject PET images. In this study, a multimodality intra-subject image registration procedure is firstly applied to align MR and PET images of the same subject. The second procedure is to estate an estimate an elastic image transformation that can nonlinearly deform each 3D brain MR image and map them to the template MR image. The estimation procedure of the elastic image transformation is based on a strategy that searches the best local image match to achieve an optimal global image match, iteratively. the final elastic image transformation estimated for each subject will then be used to deform the MR-PET registered PET image. After the nonlinear PET image deformation, MR-PET intersubject mapping, averaging, and fusing are simultaneously accomplished. The developed technique has been implemented to an UNIX based workstation with Motif window system. The software named Elastic-IRIS has few requirements of user interaction. The registered anatomical location of 10 different subjects has standard deviation of approximately 2 mm in the x, y and z directions. The processing time for one MR-PET inter-subject registration ranged from 20 to 30 minutes on a SUN SPARC-20.

AB - A MR-PET inter-subject image integration technique is developed to provide more precise anatomical location based on a template MR image, and to examine the anatomical variation in sensor-motor stimulation or to obtain cross-subject signal averaging to enhance the delectability of focal brain activity detected by different subject PET images. In this study, a multimodality intra-subject image registration procedure is firstly applied to align MR and PET images of the same subject. The second procedure is to estate an estimate an elastic image transformation that can nonlinearly deform each 3D brain MR image and map them to the template MR image. The estimation procedure of the elastic image transformation is based on a strategy that searches the best local image match to achieve an optimal global image match, iteratively. the final elastic image transformation estimated for each subject will then be used to deform the MR-PET registered PET image. After the nonlinear PET image deformation, MR-PET intersubject mapping, averaging, and fusing are simultaneously accomplished. The developed technique has been implemented to an UNIX based workstation with Motif window system. The software named Elastic-IRIS has few requirements of user interaction. The registered anatomical location of 10 different subjects has standard deviation of approximately 2 mm in the x, y and z directions. The processing time for one MR-PET inter-subject registration ranged from 20 to 30 minutes on a SUN SPARC-20.

UR - http://www.scopus.com/inward/record.url?scp=0030349468&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030349468&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0030349468

SP - 1908

EP - 1912

ER -

Lin KP, Chen TS, Yao W-J, Wu LC, Liu RS, Huang SC. Inter-subject MR-PET image registration and integration. 1996. 論文發表於 Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3), Anaheim, CA, USA, .