In-utero three dimension high resolution fetal brain diffusion tensor imaging

Shuzhou Jiang; Hui Xue; Serena Counsell; Mustafa Anjari; Joanna Allsop; Mary Rutherford; Daniel Rueckert; Joseph V. Hajnal

doi:10.1007/978-3-540-75757-3_3

In-utero three dimension high resolution fetal brain diffusion tensor imaging

Shuzhou Jiang, Hui Xue, Serena Counsell, Mustafa Anjari, Joanna Allsop, Mary Rutherford, Daniel Rueckert, Joseph V. Hajnal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Scopus citations

Abstract

We present a methodology to achieve 3D high resolution in-utero fetal brain DTI that shows excellent ADC as well as promising FA maps. After continuous DTI scanning to acquire a repeated series of parallel slices with 15 diffusion directions, image registration is used to realign the images to correct for fetal motion. Once aligned, the diffusion images are treated as irregularly sampled data where each voxel is associated with an appropriately rotated diffusion direction, and used to estimate the diffusion tensor on a regular grid. The method has been tested successful on eight fetuses and has been validated on adults imaged at 1.5T.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings
Publisher	Springer Verlag
Pages	18-26
Number of pages	9
Edition	PART 1
ISBN (Print)	9783540757566
DOIs	https://doi.org/10.1007/978-3-540-75757-3_3
State	Published - 2007
Externally published	Yes
Event	10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007 - Brisbane, Australia Duration: 29 Oct 2007 → 2 Nov 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	4791 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007
Country/Territory	Australia
City	Brisbane
Period	29/10/07 → 2/11/07

Access to Document

10.1007/978-3-540-75757-3_3

Cite this

Jiang, S., Xue, H., Counsell, S., Anjari, M., Allsop, J., Rutherford, M., Rueckert, D., & Hajnal, J. V. (2007). In-utero three dimension high resolution fetal brain diffusion tensor imaging. In Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings (PART 1 ed., pp. 18-26). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4791 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-540-75757-3_3

Jiang, Shuzhou ; Xue, Hui ; Counsell, Serena et al. / In-utero three dimension high resolution fetal brain diffusion tensor imaging. Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1. ed. Springer Verlag, 2007. pp. 18-26 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{1b331700a58e4d8784f85d9cb8d381df,

title = "In-utero three dimension high resolution fetal brain diffusion tensor imaging",

abstract = "We present a methodology to achieve 3D high resolution in-utero fetal brain DTI that shows excellent ADC as well as promising FA maps. After continuous DTI scanning to acquire a repeated series of parallel slices with 15 diffusion directions, image registration is used to realign the images to correct for fetal motion. Once aligned, the diffusion images are treated as irregularly sampled data where each voxel is associated with an appropriately rotated diffusion direction, and used to estimate the diffusion tensor on a regular grid. The method has been tested successful on eight fetuses and has been validated on adults imaged at 1.5T.",

author = "Shuzhou Jiang and Hui Xue and Serena Counsell and Mustafa Anjari and Joanna Allsop and Mary Rutherford and Daniel Rueckert and Hajnal, {Joseph V.}",

year = "2007",

doi = "10.1007/978-3-540-75757-3_3",

language = "English",

isbn = "9783540757566",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

number = "PART 1",

pages = "18--26",

booktitle = "Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings",

edition = "PART 1",

note = "10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007 ; Conference date: 29-10-2007 Through 02-11-2007",

}

Jiang, S, Xue, H, Counsell, S, Anjari, M, Allsop, J, Rutherford, M, Rueckert, D & Hajnal, JV 2007, In-utero three dimension high resolution fetal brain diffusion tensor imaging. in Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4791 LNCS, Springer Verlag, pp. 18-26, 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007, Brisbane, Australia, 29/10/07. https://doi.org/10.1007/978-3-540-75757-3_3

In-utero three dimension high resolution fetal brain diffusion tensor imaging. / Jiang, Shuzhou; Xue, Hui; Counsell, Serena et al.
Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1. ed. Springer Verlag, 2007. p. 18-26 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4791 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - In-utero three dimension high resolution fetal brain diffusion tensor imaging

AU - Jiang, Shuzhou

AU - Xue, Hui

AU - Counsell, Serena

AU - Anjari, Mustafa

AU - Allsop, Joanna

AU - Rutherford, Mary

AU - Rueckert, Daniel

AU - Hajnal, Joseph V.

PY - 2007

Y1 - 2007

N2 - We present a methodology to achieve 3D high resolution in-utero fetal brain DTI that shows excellent ADC as well as promising FA maps. After continuous DTI scanning to acquire a repeated series of parallel slices with 15 diffusion directions, image registration is used to realign the images to correct for fetal motion. Once aligned, the diffusion images are treated as irregularly sampled data where each voxel is associated with an appropriately rotated diffusion direction, and used to estimate the diffusion tensor on a regular grid. The method has been tested successful on eight fetuses and has been validated on adults imaged at 1.5T.

AB - We present a methodology to achieve 3D high resolution in-utero fetal brain DTI that shows excellent ADC as well as promising FA maps. After continuous DTI scanning to acquire a repeated series of parallel slices with 15 diffusion directions, image registration is used to realign the images to correct for fetal motion. Once aligned, the diffusion images are treated as irregularly sampled data where each voxel is associated with an appropriately rotated diffusion direction, and used to estimate the diffusion tensor on a regular grid. The method has been tested successful on eight fetuses and has been validated on adults imaged at 1.5T.

UR - http://www.scopus.com/inward/record.url?scp=79551681309&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-75757-3_3

DO - 10.1007/978-3-540-75757-3_3

M3 - Conference contribution

C2 - 18051039

AN - SCOPUS:79551681309

SN - 9783540757566

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 18

EP - 26

BT - Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings

PB - Springer Verlag

T2 - 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007

Y2 - 29 October 2007 through 2 November 2007

ER -

Jiang S, Xue H, Counsell S, Anjari M, Allsop J, Rutherford M et al. In-utero three dimension high resolution fetal brain diffusion tensor imaging. In Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1 ed. Springer Verlag. 2007. p. 18-26. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-540-75757-3_3

In-utero three dimension high resolution fetal brain diffusion tensor imaging

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this