-
模拟包括计算机产生的体模、成像过程的模拟以及快速解算方法等。随着遗传和分子生物学以及相关技术等领域的迅速发展和基因工程抗体小动物的出现,人们对研究小动物活体成像的兴趣日益浓厚。随着小动物活体成像技术的发展,新的仪器设备、数据采集策略以及图像处理和重建技术的开发和研究也逐渐兴起。模拟技术能够为评价和改进分子成像设备和技术提供一个极其重要的工具。
四维小鼠全身体模及其在医学影像研究中的应用
The four-dimensional mouse whole-body phantoms and its application in medical imaging research
-
摘要: 医学成像模拟对描述、评估和优化医学成像设备而言是一个强有力的工具。模拟的关键是必须有研究对象解剖结构仿真体模或模型。四维小鼠全身体模为影像研究提供了小鼠解剖和生理的仿真模型。精确的模型与成像过程相结合,能提供研究对象在健康和疾病状态下不同的解剖和运动(心脏和呼吸)的大量逼真的成像数据。对研究解剖、生理、机体等因素对医学和小动物成像的影响来说,四维小鼠全身体模有巨大的潜力,其还可用于新仪器研究、图像采集策略、图像处理和重建方式、图像可视化和解释技术等。
-
关键词:
- 正电子发射断层显像术 /
- 体层摄影术,X线计算机 /
- 体模,显像术 /
- 计算机模拟
Abstract: Medical imaging simulation is a powerful tool for characterizing, evaluating, and optimizing medical imaging devices and techniques. A vital aspect of simulation is to have a realistic phantom or model of the subject's anatomy. Four-dimensional mouse whole-body phantoms provide realistic models of the mouse anatomy and physiology for imaging studies. When combined with accurate models for the imaging process, are capable of providing a wealth of realistic imaging data from subjects with various anatomies and motions(cardiac and respiratory)in health and disease. With this ability, the four-dimensional mouse whole-body phantoms have enormous potential to study the effects of anatomical, physiological and physical factors on medical and small animal imaging and to research new instrumentation, image acquisition strategies, image processing, reconstruction methods, image visualization and interpretation techniques. -
[1] Zaidi H, Xu XG. Computational anthropomorphic models of the human anatomy: the path to realistic Monte Carlo modeling in radiological sciences. Annu Rev Biomed Eng, 2007, 9: 471-500. doi: 10.1146/annurev.bioeng.9.060906.151934 [2] Segars WP, Tsui BM, Frey EC, et al. Development of a 4-D digital mouse phantom for molecular imaging research. Mol Imaging Biol, 2004, 6(3): 149-159. [3] Segars WP, Lalush DS, Tsui BMW. A realistic spline-based dynamic heart phantom. IEEE Trans Nucl Sci, 1999, 46(3): 503-506. doi: 10.1109/23.775570 [4] Segars WP. Development of a new dynamic NURBS-based cardiac-torso(NCAT) phantom. Chapel Hill: The University of North Carolina, 2001. [5] Liu L, Nowinski WL. A hybrid approach to shape-based interpolation of stereotactic atlases of the human brain. Neuroinformatics, 2006, 4(2): 177-198. doi: 10.1385/NI:4:2:177 [6] Anastasi G, Cutroneo G, Tomasello F, et al. In vivo basal ganglia volumetry through application of NURBS models to MR images. Neuroradiology, 2006, 48(5): 338-345. doi: 10.1007/s00234-005-0041-4 [7] Lartizien C, Kuntner C, Goertzen AL, et al. Validation of PET-SORTEO Monte Carlo simulations for the geometries of the MicroPET R4 and Focus 220 PET scanners. Phy Med Biol, 2007, 52(16): 4845-4862. doi: 10.1088/0031-9155/52/16/009 [8] Larsson E, Strand SE, Ljungberg M, et al. Mouse S-factors based on Monte Carlo simulations in the anatomical realistic Moby phantom for internal dosimetry. Cancer Biother Radiopharm, 2007, 22(3): 438-442. doi: 10.1089/cbr.2006.320 [9] Chen CL, Yang CC, Wang YC, et al. A novel workflow for fast, realistic, and versatile small animal molecular imaging simulations. J Nucl Med, 2007, 48 Supp12: 426P. [10] Kesner AL, Dahlbom M, Huang SC, et al. Semiautomated analysis of small-animal PET data. J Nucl Med, 2006, 47(7): 1181-1186. [11] Sakellios N, Rubio JL, Karakatsanis N, et al. GATE simulations for small animal SPECT/PET using voxelized phantoms and rotating-head detectors. Nuclear Science Symposium Conference Record, IEEE Xplore, 2006, 4: 2000-2003[2012-01-01]. http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=4179419&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D4179419. [12] Herholz K, Herscovitch P, Heiss WD. NeuroPET: positron emission tomography in neuroscience and clinical neurology. Berlin: Springer, 2004: 1-33. [13] Pushkin SV, Podoprigora GI, Comas L, et al. A computational model of rat cerebral blood flow using non-uniform rational B-splines. Conf Proc IEEE Eng Med Biol Soc, IEEE Xplore, 2007: 1098-1100[2012-01-01]. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4352487. [14] Alexandrakis G, Rannou FR, Chatziioannou AF. Tomographic bioluminescence imaging by use of a combined optical-PET(OPET) system: a computer simulation feasibility study. Phys Med Biol, 2005, 50(17): 4225-4241. doi: 10.1088/0031-9155/50/17/021 [15] Fahimian B, Chatziioannou A, DeMarco J, et al. MO-D-332-06: dose reduction in CT using a novel fourier-based iterative reconstruction method. Med Phys, 2008, 35(6): 2870.