Super-resolved multi-channel fuzzy segmentation of MR brain images

Ying Bai, Xiao Han, Dzung L. Pham, Jerry Ladd Prince

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

Abstract

We propose a new fuzzy segmentation framework that incorporates the idea of super-resolution image reconstruction. The new framework is designed to segment data sets comprised of orthogonally acquired magnetic resonance (MR) images by taking into account their different system point spread functions. Formulating the reconstruction within the segmentation framework improves its robustness and stability, and makes it possible to incorporate multispectral scans that possess different contrast properties into the super-resolution reconstruction process. Our method has been tested on both simulated and real 3D MR brain data.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
EditorsJ.M. Fitzpatrick, J.M. Reinhardt
Pages580-589
Number of pages10
Volume5747
EditionI
DOIs
StatePublished - 2005
EventMedical Imaging 2005 - Image Processing - San Diego, CA, United States
Duration: Feb 13 2005Feb 17 2005

Other

OtherMedical Imaging 2005 - Image Processing
CountryUnited States
CitySan Diego, CA
Period2/13/052/17/05

Fingerprint

Magnetic resonance
Brain
Optical transfer function
Image reconstruction

Keywords

  • Brain cortex segmentation
  • Fuzzy segmentation
  • MRI
  • Super-resolution image reconstruction

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Bai, Y., Han, X., Pham, D. L., & Prince, J. L. (2005). Super-resolved multi-channel fuzzy segmentation of MR brain images. In J. M. Fitzpatrick, & J. M. Reinhardt (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE (I ed., Vol. 5747, pp. 580-589). [59] https://doi.org/10.1117/12.595357

Super-resolved multi-channel fuzzy segmentation of MR brain images. / Bai, Ying; Han, Xiao; Pham, Dzung L.; Prince, Jerry Ladd.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. ed. / J.M. Fitzpatrick; J.M. Reinhardt. Vol. 5747 I. ed. 2005. p. 580-589 59.

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

Bai, Y, Han, X, Pham, DL & Prince, JL 2005, Super-resolved multi-channel fuzzy segmentation of MR brain images. in JM Fitzpatrick & JM Reinhardt (eds), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. I edn, vol. 5747, 59, pp. 580-589, Medical Imaging 2005 - Image Processing, San Diego, CA, United States, 2/13/05. https://doi.org/10.1117/12.595357
Bai Y, Han X, Pham DL, Prince JL. Super-resolved multi-channel fuzzy segmentation of MR brain images. In Fitzpatrick JM, Reinhardt JM, editors, Progress in Biomedical Optics and Imaging - Proceedings of SPIE. I ed. Vol. 5747. 2005. p. 580-589. 59 https://doi.org/10.1117/12.595357
Bai, Ying ; Han, Xiao ; Pham, Dzung L. ; Prince, Jerry Ladd. / Super-resolved multi-channel fuzzy segmentation of MR brain images. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. editor / J.M. Fitzpatrick ; J.M. Reinhardt. Vol. 5747 I. ed. 2005. pp. 580-589
@inproceedings{a78bf892c9f64f9c8aa9d664c42d8ba4,
title = "Super-resolved multi-channel fuzzy segmentation of MR brain images",
abstract = "We propose a new fuzzy segmentation framework that incorporates the idea of super-resolution image reconstruction. The new framework is designed to segment data sets comprised of orthogonally acquired magnetic resonance (MR) images by taking into account their different system point spread functions. Formulating the reconstruction within the segmentation framework improves its robustness and stability, and makes it possible to incorporate multispectral scans that possess different contrast properties into the super-resolution reconstruction process. Our method has been tested on both simulated and real 3D MR brain data.",
keywords = "Brain cortex segmentation, Fuzzy segmentation, MRI, Super-resolution image reconstruction",
author = "Ying Bai and Xiao Han and Pham, {Dzung L.} and Prince, {Jerry Ladd}",
year = "2005",
doi = "10.1117/12.595357",
language = "English (US)",
volume = "5747",
pages = "580--589",
editor = "J.M. Fitzpatrick and J.M. Reinhardt",
booktitle = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
edition = "I",

}

TY - GEN

T1 - Super-resolved multi-channel fuzzy segmentation of MR brain images

AU - Bai, Ying

AU - Han, Xiao

AU - Pham, Dzung L.

AU - Prince, Jerry Ladd

PY - 2005

Y1 - 2005

N2 - We propose a new fuzzy segmentation framework that incorporates the idea of super-resolution image reconstruction. The new framework is designed to segment data sets comprised of orthogonally acquired magnetic resonance (MR) images by taking into account their different system point spread functions. Formulating the reconstruction within the segmentation framework improves its robustness and stability, and makes it possible to incorporate multispectral scans that possess different contrast properties into the super-resolution reconstruction process. Our method has been tested on both simulated and real 3D MR brain data.

AB - We propose a new fuzzy segmentation framework that incorporates the idea of super-resolution image reconstruction. The new framework is designed to segment data sets comprised of orthogonally acquired magnetic resonance (MR) images by taking into account their different system point spread functions. Formulating the reconstruction within the segmentation framework improves its robustness and stability, and makes it possible to incorporate multispectral scans that possess different contrast properties into the super-resolution reconstruction process. Our method has been tested on both simulated and real 3D MR brain data.

KW - Brain cortex segmentation

KW - Fuzzy segmentation

KW - MRI

KW - Super-resolution image reconstruction

UR - http://www.scopus.com/inward/record.url?scp=23844514128&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=23844514128&partnerID=8YFLogxK

U2 - 10.1117/12.595357

DO - 10.1117/12.595357

M3 - Conference contribution

VL - 5747

SP - 580

EP - 589

BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

A2 - Fitzpatrick, J.M.

A2 - Reinhardt, J.M.

ER -