DocumentCode
617435
Title
Where is my baby? A fast fetal head auto-alignment in 3D-ultrasound
Author
Cuingnet, R. ; Somphone, O. ; Mory, B. ; Prevost, Raoul ; Yaqub, Mohammad ; Napolitano, R. ; Papageorghiou, Aris ; Roundhill, D. ; Noble, J. Alison ; Ardon, R.
Author_Institution
Philips Res. Medisys, France
fYear
2013
fDate
7-11 April 2013
Firstpage
768
Lastpage
771
Abstract
Ultrasonography is the main modality for prenatal screening examination of the fetal central nervous system. Due to the variability of the position of the fetal brain relatively to the probe, getting through structures of interest requires both time and a high level of expertise. The method presented in this paper aims at helping the clinician navigate through the brain by automatically aligning the head in near real time (<; 1 s) in a 3D ultrasound volume. The alignment is obtained by defining a frame of reference based on the skull, the mid-sagittal plan and the orbits of the eyes; their signals remain strong and stable across acquisitions. They are detected by combining state-of-the-art techniques (random forests and template deformation). Our method has proven fast and accurate on a dataset of 78 volumes (19-24 gestational weeks): maximal alignment errors´ medians range from 5.1 to 5.8mm for the transcerebellar, transventricular and transthalamic planes.
Keywords
biomedical ultrasonics; brain; deformation; eye; learning (artificial intelligence); medical image processing; neurophysiology; 3D ultrasound volume; eye orbits; fast fetal head auto-alignment; fetal brain; fetal central nervous system; mid-sagittal plan; prenatal screening; random forests; template deformation; transcerebellar planes; transthalamic planes; transventricular planes; ultrasonography; Head; Image segmentation; Neck; Orbits; Robustness; Transforms; Ultrasonic imaging; auto-alignment; random forest; template deformation; ultrasound;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location
San Francisco, CA
ISSN
1945-7928
Print_ISBN
978-1-4673-6456-0
Type
conf
DOI
10.1109/ISBI.2013.6556588
Filename
6556588
Link To Document