Abstract
High quality obstetric images have become readily available with fast magnetic resonance imaging protocols or new 3D ultrasound probes. These obstetric images provide detailed information which can be used to create realistic models of the fetus at different stages of gestation. Unfortunately, the anatomy of the mother is only partially visible in the obstetric images and a full model of the pregnant woman can only be based on deformations of a non-pregnant woman body. Numerical pregnant women models are useful for a variety of applications, including dosimetry studies to assess the potential health effects of low-frequency electro-magnetic fields generated by power lines and electrical devices, planning of delivery procedure or training of obstetrical echographers. Only few models of pregnant women have been developed up to now, and they all lack realism and medical accuracy in representing the different stages of gestation and the anatomical variability of the fetal anatomy and positioning. This paper describes a novel methodology to create a set of detailed 3D pregnant women based on a series of controlled automatic deformations of a generic woman body envelope to insert pre-segmented utero-fetal units using a physics-based interactive modeler.
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References
Wiart, J., Hadjem, A., Wong, M.F., Bloch, I.: Analysis of RF exposure in the head tissues of children and adults. Phys. Med. Biol. 53, 3681–3695 (2008)
Cristy, M., Eckerman, K.F.: Specific absorbed fractions of energy at various ages from internal photon sources. Oak Ridge National Laboratory Report ORNL/TM-8381/V1-V7 (1987)
Blender, http://www.blender.org/
Human Anatomy, http://www.3dscience.com/3D_Models/Human_Anatomy/index.php/
Angel, E., et al.: Radiation dose to the fetus for pregnant patient undergoing multidetector CT imaging: Monte Carlo simulations estimating fetal dose for a range of gestational age and patient size. Radiology 249(1), 220–227 (2008)
Dimbylow, P.: Development of pregnant female, hybrid voxel-mathematical models and their application to the dosimetry of applied magnetic and electric fields at 50 Hz. Phys. Med. Biol. 51(10), 2383–2394 (2006)
Chen, J.: Mathematical models of the embryo and fetus for use in radiological protection. Health Phys. 86(3), 285–295 (2004)
Xu, X.G., Taranenko, V., Zhang, J., Shi, C.: A boundary-representation method for designing whole body radiation dosimetry models: pregnant females at the ends of three gestational periods RPI-P3, -P6 and -P9. Phys. Med. Biol. 52(23), 7023–7044 (2007)
Shi, C., Xu, X.G.: Development of a 30-week-pregnant female tomographic model from computed tomography (CT) images for Monte Carlo organ dose calculations. Med. Phys. 31, 2491–2497 (2004)
Xu, X.G., Chao, T.C., Bozkurt, A.: VIP-MAN: an image-based whole-body adult male model constructed from color photographs of the visible man project for multi-particle Monte Carlo calculations. Health Phys. 78(5), 476–486 (2000)
Nagaoka, T., Saito, K., Takahashi, M., Ito, K., Watanabe, S.: Anatomically realistic reference models of pregnant women for gestation ages of 13, 18, and 26 weeks. IEEE Eng. Med. Biol. Soc., 2817–2820 (2008)
Nagaoka, T., Watanabe, S., Sakurai, K., Kuneida, E., Taki, M., Yamanaka, Y.: Development of realistic high-resolution whole-body voxel models of Japanese adult males and females of average height and weight, and application of models to radio-frequency electromagnetic-field dosimetry. Phys. Med. Biol. 49, 1–15 (2004)
Anquez, J., Boubekeur, T., Bibin, L., Angelini, E., Bloch, I.: Utero-fetal unit and pregnant woman modeling using a computer graphics approach for dosimetry studies. In: Medical Image Computing and Computerized Assisted Intervertion (MICCAI), London, UK. LNCS, vol. 5761, pp. 1025–1032. Springer, Heidelberg (2009)
Bibin, L., Anquez, J., Angelini, E., Bloch, I.: Hybrid 3D pregnant woman and fetus modeling from medical imaging for dosimetry studies. International Journal of Computer Assisted Radiology and Surgery (2009)
Anquez, J., Angelini, E., Bloch, I., Merzoug, V., Bellaiche-Millischer, A., Adamsbaum, C.: Interest of the Steady State Free Precession (SSFP) sequence for 3D modeling of the whole fetus. IEEE Eng. Med. Biol. Soc., 771–774 (2007)
Anquez, J., Angelini, E., Bloch, I.: Segmentation of fetal 3D ultrasound based on statistical prior and deformable model. In: IEEE International Symposium on Biomedical Imaging (ISBI), pp. 17–20 (2008)
Anquez, J., Angelini, E., Bloch, I.: Automatic segmentation of head structures on fetal MRI. In: IEEE International Symposium on Biomedical Imaging (ISBI), pp. 109–112 (2009)
Daz 3D Studio, http://www.daz3d.com/
Allard, J., Cotin, S., Faure, F., Bensoussan, P.J., Poyer, F., Duriez, C., Delingette, H., Grisoni, L.: SOFA - an Open Source Framework for Medical Simulation. Medecine Meets Virtual Reality (MMVR’15), pp. 13–18 (2007)
Biovision Hierarchy, en.wikipedia.org/wiki/Biovision_Hierarchy
Wendland, H.: Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree. Adv. Comput. Math. 4(4), 389–396 (1995)
Labelle, F., Shewchuk, J.R.: Isosurface Stuffing: Fast Tetrahedral Meshes with Good Dihedral Angles. ACM SIGGRAPH 26(3) (2007)
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de la Plata Alcalde, J.P., Bibin, L., Anquez, J., Boubekeur, T., Angelini, E., Bloch, I. (2010). Physics-Based Modeling of the Pregnant Woman. In: Bello, F., Cotin, S. (eds) Biomedical Simulation. ISBMS 2010. Lecture Notes in Computer Science, vol 5958. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11615-5_8
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DOI: https://doi.org/10.1007/978-3-642-11615-5_8
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