Towards improved ultrasound-based analysis and 3D visualization of the fetal brain using the 3D Slicer
2013; Wiley; Volume: 42; Issue: 5 Linguagem: Inglês
10.1002/uog.12484
ISSN1469-0705
AutoresRie Oyama, M. Jakab, Akihiko Kikuchi, Toru Sugiyama, R. Kikinis, Sonia Pujol,
Tópico(s)3D Shape Modeling and Analysis
ResumoUltrasound in Obstetrics & GynecologyVolume 42, Issue 5 p. 609-610 Picture of the MonthOpen Access Towards improved ultrasound-based analysis and 3D visualization of the fetal brain using the 3D Slicer R. Oyama, Corresponding Author R. Oyama Iwate Medical University, Department of Obstetrics and Gynecology, Morioa, JapanCorrespondence to: Dr R. Oyama, Iwate Medical University, Obstetrics and Gynecology, 19-1 Uchimaru Morioka 0208505, Japan (e-mail: [email protected])Search for more papers by this authorM. Jakab, M. Jakab Harvard Medical School, Brigham and Women's Hospital, Department of Radiology, Boston, MA, USASearch for more papers by this authorA. Kikuchi, A. Kikuchi Iwate Medical University, Department of Obstetrics and Gynecology, Morioa, JapanSearch for more papers by this authorT. Sugiyama, T. Sugiyama Iwate Medical University, Department of Obstetrics and Gynecology, Morioa, JapanSearch for more papers by this authorR. Kikinis, R. Kikinis Harvard Medical School, Brigham and Women's Hospital, Department of Radiology, Boston, MA, USASearch for more papers by this authorS. Pujol, S. Pujol Harvard Medical School, Brigham and Women's Hospital, Department of Radiology, Boston, MA, USASearch for more papers by this author R. Oyama, Corresponding Author R. Oyama Iwate Medical University, Department of Obstetrics and Gynecology, Morioa, JapanCorrespondence to: Dr R. Oyama, Iwate Medical University, Obstetrics and Gynecology, 19-1 Uchimaru Morioka 0208505, Japan (e-mail: [email protected])Search for more papers by this authorM. Jakab, M. Jakab Harvard Medical School, Brigham and Women's Hospital, Department of Radiology, Boston, MA, USASearch for more papers by this authorA. Kikuchi, A. Kikuchi Iwate Medical University, Department of Obstetrics and Gynecology, Morioa, JapanSearch for more papers by this authorT. Sugiyama, T. Sugiyama Iwate Medical University, Department of Obstetrics and Gynecology, Morioa, JapanSearch for more papers by this authorR. Kikinis, R. Kikinis Harvard Medical School, Brigham and Women's Hospital, Department of Radiology, Boston, MA, USASearch for more papers by this authorS. Pujol, S. Pujol Harvard Medical School, Brigham and Women's Hospital, Department of Radiology, Boston, MA, USASearch for more papers by this author First published: 10 April 2013 https://doi.org/10.1002/uog.12484Citations: 11 The copyright line for this article was changed on 22 December 2015 after original online publication. AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Magnetic resonance imaging (MRI) provides useful three-dimensional (3D) information; however, there are some restrictions on its use during pregnancy due to safety concerns. In addition, fetal movements can create artifacts on MR images, as image quality depends on position of the fetus and placenta. In the past decade, 3D ultrasound imaging has been used in clinical practice to investigate the formation and volumetric size of critical anatomical structures of the fetus. However, current techniques rely mainly on analysis of sections of interest that do not integrate anatomical information concerning the shape of these structures. We provide a brief description of a workflow for semi-automated segmentation and 3D visualization of fetal ultrasound volumes in the second trimester using the 3D Slicer open source software1,2. Our workflow allowed quantitative image analysis of the choroid plexus and cerebrum from 3D ultrasound images. We acquired 3D ultrasound volumes from five healthy pregnant women at 12 (n = 2), 14 (n = 2) and 19 (n = 1) weeks of gestation. Informed consent was obtained in each case. We used a Voluson E6 (GE Medical Systems, Zipf, Austria) ultrasound machine with a RAB4-8-D/OB D/4D 8-MHz transabdominal transducer. Our workflow consisted of four steps (Figure 1). Firstly, we imported DICOM (digital imaging and communications in medicine) ultrasound volumes into the 3D Slicer. We then used the 'Grow Cut Segmentation' algorithm3 of the interactive Editor module to extract critical structures from the ultrasound volumes. We reconstructed 3D surface models from segmented regions using the 'Marching Cubes' algorithm4, and finally computed the volume of 3D anatomical models using the 'Label Statistics' module of the software. Figure 1Open in figure viewerPowerPoint Flowchart describing the 3D Slicer workflow used in this study. DICOM, digital imaging and communications in medicine. Figure 2 shows a 3D surface model of the choroid plexus and cerebrum reconstructed from the original 3D ultrasound volumes. The corresponding volumes of these structures at 12, 14 and 19 weeks' gestation were, respectively: 431.1 mm3, 698.9 mm3 and 1203.3 mm3 for the choroid plexus and 183.6 mm3, 282.8 mm3 and 469.8 mm3 for the cerebrum. Figure 2Open in figure viewerPowerPoint Result of 'Grow Cut Segmentation' of the fetal brain using the 3D Slicer. The blue structure represents the choroid plexus, and the yellow structure the cerebrum at 14 weeks of gestation (axial and coronal views). Using the 3D Slicer, we were able to obtain patient-specific quantitative information and 3D visualization of anatomical structures within the fetal brain. We anticipate being able to perform segmentation that accurately matches the anatomy using different methods. We believe this method, combined with ultrasound or MRI data, will be helpful in monitoring fetal development and detecting anomalies of the brain as well as other anatomical structures. References 1Pieper S, Halle M, Kikinis R. 3D Slicer. Proceedings of IEEE International Symposium on Biomedical Imaging: Nano to Macro.2004; 1: 632− 635. 2 3DSlicer, http://www.slicer.org. (April 25, 2013). 3Vezhnevets V, Konouchine V. "Grow-Cut" Interactive Multi-Label N-D image Segmentation. Proc Graphicon 2005; 150− 156. 4Lorensen WE, Cline HE. Marching cubes: A high resolution 3D surface construction algorithm. ACM Siggraph Computer Graphics 1987; 21: 163− 169. Citing Literature Volume42, Issue5November 2013Pages 609-610 FiguresReferencesRelatedInformation
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