Segmentation of the fetal brain cortical plate using diffusion-weighted imaging cues

Rosita Shishegar; Shreya Rana; David W. Walker; Leigh A. Johnston

Segmentation of the fetal brain cortical plate using diffusion-weighted imaging cues

Rosita Shishegar, Shreya Rana, David W. Walker, Leigh A. Johnston

Obstetrics & Gynaecology Monash Health

Research output: Contribution to conference › Abstract

Abstract

Segmentation of the developing cortical plate from MRI data of the fetal brain is highly challenging due to partial volume effects, low contrast and heterogeneous maturation caused by ongoing myelination processes. We present a new atlas-free method for segmenting the boundary between the cortical plate and subplate in fetal brains, by exploiting diffusion-weighted imaging cues. The accuracy of the segmentation algorithm is demonstrated by application to fetal sheep brain MRI data.

Original language	English
Number of pages	3
Publication status	Published - 2016
Event	Joint Annual Meeting ISMRM-ESMRMB 2016 - Suntec Singapore Convention & Exhibition Centre, Singapore, Singapore Duration: 7 May 2016 → 13 May 2016 http://www.ismrm.org/2016-annual-meeting-exhibition/

Conference

Conference	Joint Annual Meeting ISMRM-ESMRMB 2016
Abbreviated title	ISMRM-ESMRMB 2016
Country	Singapore
City	Singapore
Period	7/05/16 → 13/05/16
Internet address	http://www.ismrm.org/2016-annual-meeting-exhibition/

Access to Document

Cite this

@conference{221fe7a5400045438dc0e4d46a4d9d7b,

title = "Segmentation of the fetal brain cortical plate using diffusion-weighted imaging cues",

abstract = "Segmentation of the developing cortical plate from MRI data of the fetal brain is highly challenging due to partial volume effects, low contrast and heterogeneous maturation caused by ongoing myelination processes. We present a new atlas-free method for segmenting the boundary between the cortical plate and subplate in fetal brains, by exploiting diffusion-weighted imaging cues. The accuracy of the segmentation algorithm is demonstrated by application to fetal sheep brain MRI data.",

author = "Rosita Shishegar and Shreya Rana and Walker, {David W.} and Johnston, {Leigh A.}",

year = "2016",

language = "English",

note = "Joint Annual Meeting ISMRM-ESMRMB 2016, ISMRM-ESMRMB 2016 ; Conference date: 07-05-2016 Through 13-05-2016",

url = "http://www.ismrm.org/2016-annual-meeting-exhibition/",

}

TY - CONF

T1 - Segmentation of the fetal brain cortical plate using diffusion-weighted imaging cues

AU - Shishegar, Rosita

AU - Rana, Shreya

AU - Walker, David W.

AU - Johnston, Leigh A.

PY - 2016

Y1 - 2016

N2 - Segmentation of the developing cortical plate from MRI data of the fetal brain is highly challenging due to partial volume effects, low contrast and heterogeneous maturation caused by ongoing myelination processes. We present a new atlas-free method for segmenting the boundary between the cortical plate and subplate in fetal brains, by exploiting diffusion-weighted imaging cues. The accuracy of the segmentation algorithm is demonstrated by application to fetal sheep brain MRI data.

AB - Segmentation of the developing cortical plate from MRI data of the fetal brain is highly challenging due to partial volume effects, low contrast and heterogeneous maturation caused by ongoing myelination processes. We present a new atlas-free method for segmenting the boundary between the cortical plate and subplate in fetal brains, by exploiting diffusion-weighted imaging cues. The accuracy of the segmentation algorithm is demonstrated by application to fetal sheep brain MRI data.

UR - http://www.ismrm.org/16/program_files/O84.htm

UR - https://dev.ismrm.org/2016/0566.html

M3 - Abstract

T2 - Joint Annual Meeting ISMRM-ESMRMB 2016

Y2 - 7 May 2016 through 13 May 2016

ER -