Anthropomorphic dual-lattice voxel models for optimizing image quality and dose

Abstract. Using numerical simulations, the influence of various imaging parameters on the resulting image can be determined for various imaging technologies. To achieve this, visualization of fine tissue structures needed to evaluate the image quality with different radiation quality and dose is essential. The present work examines a method that employs simulations of the imaging process using Monte Carlo methods and a combination of a standard and higher resolution voxel models. A hybrid model, based on nonlinear uniform rational B-spline and polygon mesh surfaces, was constructed from an existing voxel model of a female patient of a resolution in the range of millimeters. The resolution of the hybrid model was 500  μm, i.e., substantially finer than that of the original model. Furthermore, a high resolution lung voxel model [(0.11  mm)3 voxel volume, slice thickness: 114  μm] was developed from the specimen of a left lung lobe. This has been inserted into the hybrid model, substituting its left lung lobe and resulting in a dual-lattice geometry model. “Dual lattice” means, in this context, the combination of voxel models with different resolutions. Monte Carlo simulations of radiographic imaging were performed and the fine structure of the lung was easily recognizable.

[1]  Christoph Hoeschen,et al.  Construction of anthropomorphic hybrid, dual-lattice voxel models for optimizing image quality and dose in radiography , 2014, Medical Imaging.

[2]  Robert A. Schowengerdt,et al.  Image reconstruction by parametric cubic convolution , 1982, Comput. Graph. Image Process..

[3]  Andrew D. A. Maidment,et al.  Mammogram synthesis using a 3D simulation. I. Breast tissue model and image acquisition simulation. , 2002, Medical physics.

[4]  W. Paul Segars,et al.  Synthesized interstitial lung texture for use in anthropomorphic computational phantoms , 2016, SPIE Medical Imaging.

[5]  Wesley E. Bolch,et al.  Stylized Computational Phantoms Developed at ORNL and Elsewhere , 2009 .

[6]  W. Paul Segars,et al.  Population of 100 realistic, patient-based computerized breast phantoms for multi-modality imaging research , 2014, Medical Imaging.

[7]  Christoph Hoeschen,et al.  High-spatial-resolution measurement of x-ray intensity pattern in a radiograph of the thorax , 1999, Medical Imaging.

[8]  I. Kawrakow,et al.  The EGSnrc Code System: Monte Carlo Simulation of Electron and Photon Transport , 2016 .

[9]  Dragana Brzakovic,et al.  Mammogram synthesis using a three-dimensional simulation. III. Modeling and evaluation of the breast ductal network. , 2003, Medical physics.

[10]  Min Cheol Han,et al.  Tetrahedral-mesh-based computational human phantom for fast Monte Carlo dose calculations , 2014, Physics in medicine and biology.

[11]  Chan Hyeong Kim,et al.  A polygon-surface reference Korean male phantom (PSRK-Man) and its direct implementation in Geant4 Monte Carlo simulation , 2011, Physics in medicine and biology.

[12]  Wesley E. Bolch,et al.  The GSF* Voxel Computational Phantom Family , 2009 .

[13]  Ron Kikinis,et al.  Statistical validation of image segmentation quality based on a spatial overlap index. , 2004, Academic radiology.

[14]  S. Evans Catalogue of Diagnostic X-Ray Spectra and Other Data , 1998 .

[15]  Habib Zaidi,et al.  Computational anthropomorphic models of the human anatomy: the path to realistic Monte Carlo modeling in radiological sciences. , 2007, Annual review of biomedical engineering.

[16]  Indrin J Chetty,et al.  Analysis of deformable image registration accuracy using computational modeling. , 2010, Medical physics.

[17]  W P Segars,et al.  Population of anatomically variable 4D XCAT adult phantoms for imaging research and optimization. , 2013, Medical physics.

[18]  Christoph Hoeschen,et al.  A high-resolution voxel phantom of the breast for dose calculations in mammography. , 2005, Radiation protection dosimetry.

[19]  Daniel Lodwick,et al.  The UF family of reference hybrid phantoms for computational radiation dosimetry , 2010, Physics in medicine and biology.

[20]  M. Zankl,et al.  The adult male voxel model ”Golem” segmented from whole-body CT patient data , 2001, Radiation and environmental biophysics.

[21]  Raúl San José Estépar,et al.  Automatic Synthesis of Anthropomorphic Pulmonary CT Phantoms , 2015, bioRxiv.

[22]  Daniel Lodwick,et al.  NURBS-based 3-D anthropomorphic computational phantoms for radiation dosimetry applications. , 2007, Radiation protection dosimetry.

[23]  Aldo Badano,et al.  penMesh—Monte Carlo Radiation Transport Simulation in a Triangle Mesh Geometry , 2009, IEEE Transactions on Medical Imaging.

[24]  Ehsan Samei,et al.  Population of 224 realistic human subject-based computational breast phantoms. , 2015, Medical physics.

[25]  J Michael O'Connor,et al.  Generation of voxelized breast phantoms from surgical mastectomy specimens. , 2013, Medical physics.

[26]  Perry B. Johnson,et al.  Hybrid computational phantoms for medical dose reconstruction , 2010, Radiation and environmental biophysics.

[27]  John M Boone,et al.  Methodology for generating a 3D computerized breast phantom from empirical data. , 2009, Medical physics.

[28]  Andrew D. A. Maidment,et al.  Mammogram synthesis using a 3D simulation. II. Evaluation of synthetic mammogram texture. , 2002, Medical physics.