MIDA: A multimodal imaging-based detailed anatomical model of the human head and neck

PLoS ONE

Volumn 10, Issue 4, 2015, Pages

  Iacono, Maria Ida ^a   Neufeld, Esra ^b   Akinnagbe, Esther ^a   Bower, Kelsey ^a   Wolf, Johanna ^b,c   Oikonomidis, Ioannis Vogiatzis ^b,c   Sharma, Deepika ^b,c   Lloyd, Bryn ^b   Wilm, Bertram J ^d   Wyss, Michael ^d   Pruessmann, Klaas P ^d   Jakab, Andras ^c,e   Makris, Nikos ^f   Cohen, Ethan D ^a   Kuster, Niels ^b,c   Kainz, Wolfgang ^a   Angelone, Leonardo M ^a  

^a CENTER FOR DEVICES AND RADIOLOGICAL HEALTH   (United States)

^b FOUNDATION FOR RESEARCH ON INFORMATION TECHNOLOGIES IN SOCIETY IT IS   (Switzerland)

^c ETH ZURICH   (Switzerland)

^d UNIVERSITY OF ZURICH   (Switzerland)

^e MEDICAL UNIVERSITY OF VIENNA   (Austria)

^f MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ANATOMIC MODEL; ANISOTROPY; ARTERY; ARTICLE; BONE; DIFFUSION TENSOR IMAGING; EAR; ELECTRIC CONDUCTIVITY; ELECTRIC FIELD; EYE; FEMALE; HEAD; HUMAN; MAGNETIC RESONANCE ANGIOGRAPHY; MESENCEPHALON; MULTIMODAL IMAGING; MULTIMODAL IMAGING BASED DETAILED ANATOMICAL MODEL; NECK; NERVE; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; SALIVARY GLAND; SIMULATION; SKELETAL MUSCLE; SKULL; THALAMUS; VEIN; ANATOMY AND HISTOLOGY; BRAIN MAPPING; COMPUTER SIMULATION; IMAGE PROCESSING; INNERVATION; PROCEDURES; THALAMUS MIDLINE NUCLEUS; VASCULARIZATION;

ANISOTROPY; BRAIN MAPPING; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; HEAD; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE ANGIOGRAPHY; MAGNETIC RESONANCE IMAGING; MESENCEPHALON; MIDLINE THALAMIC NUCLEI; MODELS, ANATOMIC; MULTIMODAL IMAGING; NECK;

EID: 84930670517     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0124126     Document Type: Article

References (101)

1. CDRH, FDA Science Report; 2011. Available: http://www.fda.gov/downloads/AboutFDA/CentersOffices/OfficeofMedicalProductsandTobacco/CDRH/CDRHReports/UCM274162.pdf
2. Zankl M, Veit R, Williams G, Schneider K, Fendel H, Petoussi N, et al. The construction of computer tomographic phantoms and their application in radiology and radiation protection. Radiat Environ Biophys. 1988; 27: 153-164. PMID: 3393623
3. Caon M, Bibbo G, Pattison J. Monte Carlo calculated effective dose to teenage girls from computed tomography examinations. Radiat Prot Dosimetry. 2000; 90: 445-448.
4. Saito K, Wittmann A, Koga S, Ida Y, Kamei T, Funabiki J, et al. Construction of a computed tomographic phantom for a Japanese male adult and dose calculation system. Radiat Environ Biophys. 2001; 40: 69-76. PMID: 11357713
5. Staton R, Pazik F, Nipper J, Williams J, Bolch W. A comparison of newborn stylized and tomographic models for dose assessment in paediatric radiology. Phys Med Biol. 2003; 48: 805. PMID: 12701888
6. Jones DG. A realistic anthropomorphic phantom for calculating organ doses arising from external photon irradiation. Radiat Prot Dosimetry. 1997; 72: 21-29.
7. Petoussi-Henss N, Zankl M. Voxel Anthropomorphic Models as a Tool for Internal Dosimetry. Radiat Prot Dosimetry. 1998; 79: 415-418.
8. Stabin M, Yoriyaz H. Photon specific absorbed fractions calculated in the trunk of an adult male voxelbased phantom. Health physics. 2002; 82: 21-44. PMID: 11768796
9. Zankl M, Petoussi-Henss N, Fill U, Regulla D. The application of voxel phantoms to the internal dosimetry of radionuclides. Radiat Prot Dosimetry. 2003; 105: 539-547. PMID: 14527024
10. Jones D. A realistic anthrompomorphic phantom for calculating specific absorbed fractions of energy deposited from internal gamma emitters. Radiat Prot Dosimetry. 1998; 79: 411-414.
11. Dimbylow PJ. FDTD calculations of the whole-body averaged SAR in an anatomically realistic voxel model of the human body from 1 MHz to 1 GHz. Phys Med Biol. 1997; 42: 479-490. PMID: 9080530
12. Dimbylow PJ, Gandhi OP. Finite-difference time-domain calculations of SAR in a realistic heterogeneous model of the head for plane-wave exposure from 600 MHz to 3 GHz. Phys Med Biol. 1991; 36: 1075-1089. PMID: 1924543
13. Dimbylow PJ, Mann SM. SAR calculations in an anatomically realistic model of the head for mobile communication transceivers at 900 MHz and 1.8 GHz. Phys Med Biol. 1994; 39: 1537-1553. PMID: 15551530
14. Chen X, Benkler S, Li C, Chavannes N, Kuster N. Low frequency electromagnetic field exposure study with posable human body model. IEEE International Symposium on Electromagnetic Compatibility (EMC). 2010; 702-705.
15. Dimbylow PJ. Induced current densities from low-frequency magnetic fields in a 2 mm resolution, anatomically realistic model of the body. Phys Med Biol. 1998; 43: 221-230. PMID: 9509522
16. Dimbylow PJ. Development of the female voxel phantom, NAOMI, and its application to calculations of induced current densities and electric fields from applied low frequency magnetic and electric fields. Phys Med Biol. 2005; 50: 1047-1070. PMID: 15798308
17. Kainz W, Chan DD, Casamento JP, Bassen HI. Calculation of induced current densities and specific absorption rates (SAR) for pregnant women exposed to hand-held metal detectors. Phys Med Biol. 2003; 48: 2551-2560. PMID: 12953914
18. Wu D, Qiang R, Chen J, Seidman S, Witters D, Kainz W. Possible overexposure of pregnant women to emissions from a walk through metal detector. Phys Med Biol. 2007; 52: 5735. PMID: 17881797
19. Damsgaard M, Rasmussen J, Christensen ST, Surma E, de Zee M. Analysis of musculoskeletal systems in the AnyBody Modeling System. Simulat Model Pract Th. 2006; 14: 1100-1111.
20. Kyriakou A, Neufeld E, Werner B, Paulides MM, Szekely G, Kuster N. A review of numerical and experimental compensation techniques for skull-induced phase aberrations in transcranial focused ultrasound. Intl J Hyperthermia. 2013: 1-11.
21. Paulides MM, Stauffer PR, Neufeld E, Maccarini PF, Kyriakou A, Canters RA, et al. Simulation techniques in hyperthermia treatment planning. Int J Hyperthermia. 2013; 29: 346-357. doi: 10.3109/02656736.2013.790092 PMID: 23672453
22. Zubal IG, Harrell CR, Smith EO, Rattner Z, Gindi G, Hoffer PB. Computerized three?dimensional segmented human anatomy. Med Phys. 1994; 21: 299-302. PMID: 8177164
23. Zubal IG, Harrell CR. Voxel based Monte Carlo calculations of nuclear medicine images and applied variance reduction techniques. Image Vision Comput. 1992; 10: 342-348.
24. Dimbylow PJ, M SM SAR calculations in an anatomically realistic model of the head for mobile communication transceivers at 900 MHz and 1.8 GHz. Phys Med Biol. 1994; 39: 1537-1553. PMID: 15551530
25. Fill UA, Zankl M, Petoussi-Henss N, Siebert M, Regulla D. Adult female voxel models of different stature and photon conversion coefficients for radiation protection. Health phys. 2004; 86: 253-272. PMID: 14982227
26. Zankl M, Fill U, Petoussi-Henss N, Regulla D. Organ dose conversion coefficients for external photon irradiation of male and female voxel models. Phys Med Biol. 2002; 47: 2367-2385. PMID: 12171328
27. Petoussi-Henss N, Zankl M, Fill U, Regulla D. The GSF family of voxel phantoms. Phys Med Biol. 2002; 47: 89-106. PMID: 11814230
28. Zankl M, Wittmann A. The adult male voxel model"Golem" segmented from whole-body CT patient data. Radiat Environ Biophys. 2001; 40: 153-162. PMID: 11484787
29. Xu XG, Chao TC, Bozkurt A. VIP-Man: An image-based whole-body adult male model constructed from color photographs of the visible human project for multi-particle Monte Carlo calculations. Health Phys. 2000; 78: 476-486. PMID: 10772019
30. Gjonaj E, Bartsch M, Clemens M, Schupp S, Weiland T High-resolution human anatomy models for advanced electromagnetic field computations. IEEE Trans Magn. 2002; 38: 357-360.
31. Sato K, Noguchi H, Emoto Y, Koga S, Saito K. Development of a Japanese Adult Female Voxel Phantom. J Nucl Sci Technol. 2009; 46: 907-913.
32. Sato K, Noguchi H, Emoto Y, Koga S, Saito K. Japanese adult male voxel phantom constructed on the basis of CT images. Radiat Prot Dosimetry. 2007; 123: 337-344. PMID: 16905760
33. Kramer R, Khoury HJ, Vieira JW, Loureiro EC, Lima VJ, Lima FR, et al. All about FAX: a Female Adult voXel phantom for Monte Carlo calculation in radiation protection dosimetry. Phys Med Biol. 2004; 49: 5203-5216. PMID: 15656272
34. Kramer R, Vieira JW, Khoury HJ, Lima FRA, Fuelle D. All about MAX: a male adult voxel phantom for Monte Carlo calculations in radiation protection dosimetry. Phys Med Biol. 2003; 48: 1239-1262. PMID: 12812444
35. Mason PA, Hurt WD, Walters TJ, D'Andrea JA, Gajsek P, Ryan KL, et al. Effects of frequency, permittivity, and voxel size on predicted specific absorption rate values in biological tissue during electromagnetic-field exposure. IEEE Trans Microw Theory Techn 2000; 48: 2050-2058.
36. Lee C, Lee J, Lee C. Korean adult male voxel model KORMAN segmented from magnetic resonance images. Med Phys. 2004; 31: 1017-1022. PMID: 15191287
37. Zhang B, Ma J, Liu L, Cheng J. CNMAN: a Chinese adult male voxel phantom constructed from color photographs of a visible anatomical data set. Radiat Prot Dosimetry. 2007; 124: 130-136. PMID: 17526909
38. Zhang S-X, Heng P-A, Liu Z-J, Tan L-W, Qiu M-G, Li Q-Y, et al. The Chinese Visible Human (CVH) datasets incorporate technical and imaging advances on earlier digital humans. J Anat. 2004; 204: 165-173. PMID: 15032906
39. Nagaoka T, Watanabe S, Sakurai K, Kunieda E, Watanabe S, Taki M, et al. 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. 2004; 49: 1-15. PMID: 14971769
40. Christ A, Kainz W, Hahn EG, Honegger K, Zefferer M, Neufeld E, et al. The Virtual Family-development of surface-based anatomical models of two adults and two children for dosimetric simulations. Phys Med Biol. 2010; 55: N23-38. doi: 10.1088/0031-9155/55/2/N01 PMID: 20019402
41. Makris N, Angelone L, Tulloch S, Sorg S, Kaiser J, Kennedy D, et al. MRI-based anatomical model of the human head for specific absorption rate mapping. Med Biol Eng Comput. 2008; 46: 1239-1251. doi: 10.1007/s11517-008-0414-z PMID: 18985401
42. Segars WP, Sturgeon G, Mendonca S, Grimes J, Tsui BMW. 4D XCAT phantom for multimodality imaging research. Med Phys. 2010; 37: 4902-4915. PMID: 20964209
43. Mitsuhashi N, Fujieda K, Tamura T, Kawamoto S, Takagi T, Okubo K. BodyParts3D: 3D structure database for anatomical concepts. Nucleic Acids Res. 2009; 37: D782-785. doi: 10.1093/nar/gkn613 PMID: 18835852
44. Ackerman MJ. The visible human project. Proc IEEE. 1998; 86: 504-511.
45. Pommert A, Höhne KH, Pflesser B, Riemer M, Schiemann T, Schubert R, et al. A highly realistic volume model derived from the visible human male. Available: http://wwwnlmnihgov/archive/20120702/research/visible/vhpconf2000/AUTHORS/HOEHNE/POMMERTPDF. 2001.
46. Park JS, Chung MS, Hwang SB, Lee YS, Har D-H, Park HS. Visible Korean human: improved serially sectioned images of the entire body. IEEE Trans Med Imaging. 2005; 24: 352-360. PMID: 15754985
47. Wu T, Tan L, Shao Q, Zhang C, Zhao C, Li Y, et al. Chinese adult anatomical models and the application in evaluation of RF exposures. Phys Med Biol. 2011; 56: 2075. doi: 10.1088/0031-9155/56/7/011 PMID: 21386138
48. Wu K-L, Heng PA, Zhao L, Xie Y, Gao X, Chen J, et al. A High-Resolution Electromagnetic Human Head Model for Calculation of SAR. Asia-Pacific Microwave Conference (APMC). 2008.
49. Toga AW, Goldkorn A, Ambach K, Chao K, Quinn BC, Yao P. Postmortem cryosectioning as an anatomic reference for human brain mapping. Comput Med Imag and Grap. 1997; 21: 131-141.
50. Gosselin M, Neufeld E, Moser H, Huber E, Farcito S, Geber L, et al. (2014) Development of a new generation of high-resolution anatomical models for medical device evaluation: the virtual population (in press). Phys Med Biol.
51. Hennig J. Multiecho imaging sequences with low refocusing flip angles. J Magn Reson 1988; 78: 397-407.
52. Rueckert D, Sonoda LI, Hayes C, Hill DL, Leach MO, Hawkes DJ. Nonrigid registration using freeform deformations: application to breast MR images. IEEE Trans Med Imaging. 1999; 18: 712-721. PMID: 10534053
53. Viola P, Wells WM III. Alignment by maximization of mutual information. Int J Comp Vision. 1997; 24: 137-154.
54. Pluim JP, Maintz JA, Viergever MA. Mutual-information-based registration of medical images: a survey. IEEE Trans Med Imaging. 2003; 22: 986-1004. PMID: 12906253
55. Neufeld E. High resolution hyperthermia treatment planning PhD Thesis ETH No. 17947: Swiss Federal Institute of Technology, Zurich 2008.
56. Pohle R, Toennies KD. Segmentation of medical images using adaptive region growing. Proc SPIE 2001; 1337-1346.
57. Coleman GB, Andrews HC. Image segmentation by clustering. Proc IEEE. 1979; 67: 773-785.
58. Haralick RM, Sternberg SR, Zhuang X. Image analysis using mathematical morphology. IEEE Trans Pattern Anal Mach Intel. 1987: 532-550. PMID: 21869411
59. Raya SP, Udupa JK. Shape-based interpolation of multidimensional objects. IEEE Trans Med Imaging. 1990; 9: 32-42. PMID: 18222748
60. Warfield SK, Zou KH, Wells WM. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans Med Imaging. 2004; 23: 903-921. PMID: 15250643
61. Dice LR. Measures of the amount of ecologic association between species. Ecology. 1945; 26: 297-302.
62. Dubuisson M-P, Jain AK. A modified Hausdorff distance for object matching. Pattern Recognition, 1994 Vol 1-Conference A: Computer Vision & Image Processing, Proceedings of the 12th IAPR International Conference on. 1994; 566-568.
63. Morel A. Stereotactic atlas of the human thalamus and basal ganglia: CRC Press; 2007.
64. Krauth A, Blanc R, Poveda A, Jeanmonod D, Morel A, Székely G. A mean three-dimensional atlas of the human thalamus: generation from multiple histological data. Neuroimage. 2010; 49: 2053-2062. doi: 10.1016/j.neuroimage.2009.10.042 PMID: 19853042
65. Rao A, Aljabar P, Rueckert D. Hierarchical statistical shape analysis and prediction of sub-cortical brain structures. Med Image Anal. 2008; 12: 55-68. PMID: 17690004
66. Jakab A, Blanc R, Berényi E, Székely G. Generation of Individualized Thalamus Target Maps by Using Statistical Shape Models and Thalamocortical Tractography. AJNR Am J Neuroradiol. 2012; 33: 2110-2116. doi: 10.3174/ajnr.A3140 PMID: 22700756
67. Rineau L, Yvinec M. A generic software design for Delaunay refinement meshing. Computational Geometry. 2007; 38: 100-110.
68. CGAL: the computational geometry algorithms library; Available: http://www.cgal.org
69. Leng J, Zhang Y, Xu G. A novel geometric flow-driven approach for quality improvement of segmented tetrahedral meshes. Proceedings of the 20th international meshing roundtable. 2012; 347-364.
70. Cheng S-W, Dey TK. Delaunay edge flips in dense surface triangulations. arXiv preprint arXiv:07121959. 2007.
71. Slicer; Available: http://www.slicer.org
72. Jezzard P, Barnett AS, Pierpaoli C. Characterization of and correction for eddy current artifacts in echo planar diffusion imaging. Magn Reson Med. 1998; 39: 801-812. PMID: 9581612
73. Mattiello J, Basser PJ, Le Bihan D. The b matrix in diffusion tensor echo-planar imaging. Magn Reson Med. 1997; 37: 292-300. PMID: 9001155
74. S W. The Visualization Toolkit, 3rd Edition., Kitware Inc.; Available: http://www.vtk.org/
75. Tuch DS, Wedeen VJ, Dale AM, Belliveau JW. Conductivity maps of white matter fiber tracts using magnetic resonance diffusion tensor imaging. NeuroImage. 1997; 5: S44. PMID: 9331383
76. Laakso I, Hirata A. Computational analysis shows why transcranial alternating current stimulation induces retinal phosphenes. J Neural Eng. 2013; 10: 046009. doi: 10.1088/1741-2560/10/4/046009 PMID: 23813466
77. Gabriel C, Gabriel S, Corthout E. The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. Phys Med Biol. 1996; 41: 2251-2269. PMID: 8938025
78. Available: http://www.itis.ethz.ch/itis-for-health/tissue-properties/database/
79. Tuch DS, Wedeen VJ, Dale AM, George JS, Belliveau JW. Conductivity tensor mapping of the human brain using diffusion tensor MRI. Proc Natl Acad Sci U S A. 2001; 98: 11697-11701. PMID: 11573005
80. Ellett W, Callahan A, Brownell G. Gamma-ray dosimetry of internal emitters. Monte Carlo calculations of absorbed dose from point sources. Brit J Radiol. 1964; 37: 47-52.
81. Bolch W, Bouchet L, Robertson J, Wessels B, Siegel J, Howell R, et al. MIRD pamphlet No. 17: The dosimetry of nonuniform activity distributions-radionuclide S values at the voxel level. Medical Internal Radiation Dose Committee. J Nucl Med. 1999; 40: 11S-36S. PMID: 9935083
82. Hart F Mathematical modeling of electromagnetic interactions with biological systems. Modern Bioelectricity. 1988; 281: 343.
83. Nikita KS, Stamatakos GS, Uzunoglu NK, Karafotias A. Analysis of the interaction between a layered spherical human head model and a finite-length dipole. IEEE Trans Microw Theory Techn. 2000; 48: 2003-2013.
84. Lin J, Guy A, Johnson C. Power Deposition in a Spherical Model of Man Exposed to I-20-MHz Electromagnetic Fields. IEEE Trans Microw Theory Techn. 1973; 21: 791-797.
85. Weil CM. Absorption characteristics of multilayered sphere models exposed to UHF/microwave radiation. IEEE Trans Biomed Eng. 1975: 468-476. PMID: 1184021
86. Tong P, DiMasi F, Eppinger R, Marcus J, Galbraith G. Finite element modeling of head injury caused by inertial loading. 12th International Technical Conference on Safety Vehicles. 1989; 617-626.
87. Margulies SS. Biomechanics of traumatic coma in the primate (head injury) PhD Thesis. Available: http://repository.upenn.edu/dissertations/AAI8714087: University of Pennsylvania. 1987.
88. Iacono MI, Makris N, Mainardi L, Angelone LM, Bonmassar G. MRI-Based Multiscale Model for Electromagnetic Analysis in the Human Head with Implanted DBS. Comput Math Methods Med. 2013; 2013: 12.
89. Powell S, Magnotta VA, Johnson H, Jammalamadaka VK, Pierson R, Andreasen NC. Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures. Neuroimage. 2008; 39: 238-247. PMID: 17904870
90. Nowinski WL, Chua B, Marchenko Y, Puspitsari F, Volkau I, Knopp MV. Three-dimensional reference and stereotactic atlas of human cerebrovasculature from 7Tesla. Neuroimage. 2011; 55: 986-998. doi: 10.1016/j.neuroimage.2010.12.079 PMID: 21216296
91. Adair E. Microwaves and Thermoregulation: Academic Press; 1983.
92. Güllmar D, Haueisen J, Reichenbach JR. Influence of anisotropic electrical conductivity in white matter tissue on the EEG/MEG forward and inverse solution. A high-resolution whole head simulation study. Neuroimage. 2010; 51: 145-163. doi: 10.1016/j.neuroimage.2010.02.014 PMID: 20156576
93. McIntyre CC, Mori S, Sherman DL, Thakor NV, Vitek JL. Electric field and stimulating influence generated by deep brain stimulation of the subthalamic nucleus. Clin Neurophysiol. 2004; 115: 589-595. PMID: 15036055
94. Pham DL, Xu C, Prince JL. Current methods in medical image segmentation 1. Annual Rev Biomed Eng. 2000; 2: 315-337. PMID: 11701515
95. Irarrazabal P, Meyer CH, Nishimura DG, Macovski A. Inhomogeneity correction using an estimated linear field map. Magn Reson Med. 1996; 35: 278-282. PMID: 8622593
96. Lalys F, Haegelen C, Ferre J-C, El-Ganaoui O, Jannin P. Construction and assessment of a 3-T MRI brain template. NeuroImage. 2010; 49: 345-354. doi: 10.1016/j.neuroimage.2009.08.007 PMID: 19682582
97. Yelnik J, Bardinet E, Dormont D, Malandain G, Ourselin S, Tandé D, et al. A three-dimensional, histological and deformable atlas of the human basal ganglia. I. Atlas construction based on immunohistochemical and MRI data. Neuroimage. 2007; 34: 618-638. PMID: 17110133
98. Deoni SC, Rutt BK, Parrent AG, Peters TM. Segmentation of thalamic nuclei using a modified k- means clustering algorithm and high-resolution quantitative magnetic resonance imaging at 1.5 T. Neuroimage. 2007; 34: 117-126. PMID: 17070073
99. Nowinski WL, Yang GL, Yeo TT. Computer-aided stereotactic functional neurosurgery enhanced by the use of the multiple brain atlas database. IEEE Trans Med Imaging. 2000; 19: 62-69. PMID: 10782620
100. Nowinski WL. Towards construction of an ideal stereotactic brain atlas. Acta neurochirurgica. 2008; 150: 1-14. PMID: 18030414
101. Iacono MI, Neufeld E, Bonmassar G, Akinnagbe E, Jakab A, Cohen E, et al. A computational model for bipolar deep brain stimulation of the subthalamic nucleus. IEEE Engineering in Medicine and Biology Society (EMBC). 2014; 6258-6261.