In-vivo lung biomechanical modeling for effective tumor motion tracking in external beam radiation therapy
暂无分享,去创建一个
Ting-Yim Lee | Abbas Samani | Elham Karami | Stewart Gaede | Ali Sadeghi-Naini | Parya Jafari | Douglas A. Hoover | Sergio C. H. Dempsey | Ting-Yim Lee | A. Samani | S. Gaede | Parya Jafari | A. Sadeghi-Naini | E. Karami | D. Hoover
[1] P. Kirkwood,et al. Respiratory action of the intercostal muscles. , 2005, Physiological reviews.
[2] Shinichiro Mori,et al. Real-time tumor tracking using fluoroscopic imaging with deep neural network analysis. , 2019, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.
[3] Abbas Samani,et al. Towards computer based lung disease diagnosis using accurate lung air segmentation of CT images in exhalation and inhalation phases , 2017, Expert Syst. Appl..
[4] S. Webb. Motion effects in (intensity modulated) radiation therapy: a review , 2006, Physics in medicine and biology.
[5] George T. Y. Chen,et al. Four-dimensional image-based treatment planning: Target volume segmentation and dose calculation in the presence of respiratory motion. , 2005, International journal of radiation oncology, biology, physics.
[6] K. Brock,et al. Biomechanical deformable image registration of longitudinal lung CT images using vessel information , 2016, Physics in medicine and biology.
[7] Paul J Keall,et al. Retrospective analysis of artifacts in four-dimensional CT images of 50 abdominal and thoracic radiotherapy patients. , 2008, International journal of radiation oncology, biology, physics.
[8] J. Jaldén,et al. On using an adaptive neural network to predict lung tumor motion during respiration for radiotherapy applications. , 2005, Medical physics.
[9] Abbas Samani,et al. Toward in vivo lung's tissue incompressibility characterization for tumor motion modeling in radiation therapy. , 2013, Medical physics.
[10] David J. Hawkes,et al. A hybrid patient‐specific biomechanical model based image registration method for the motion estimation of lungs , 2017, Medical Image Anal..
[11] B. Shariat,et al. Simulation of lung behaviour with finite elements: influence of bio-mechanical parameters , 2005, Third International Conference on Medical Information Visualisation--BioMedical Visualisation.
[12] Steve B. Jiang,et al. The management of respiratory motion in radiation oncology report of AAPM Task Group 76. , 2006, Medical physics.
[13] H. Ladjal,et al. Lung Tumor Tracking Based on Patient-Specific Biomechanical Model of the Respiratory System , 2019 .
[14] Feng Li,et al. Biomechanical Simulation of Lung Deformation from One CT Scan , 2014 .
[15] J Moseley,et al. Contact surface and material nonlinearity modeling of human lungs , 2008, Physics in medicine and biology.
[16] Eric A Hoffman,et al. Supine and prone differences in regional lung density and pleural pressure gradients in the human lung with constant shape. , 2009, Journal of applied physiology.
[17] Heinz Handels,et al. Patient-specific finite element modeling of respiratory lung motion using 4D CT image data. , 2009, Medical physics.
[18] Nassir Navab,et al. Patient-Specific Biomechanical Model for the Prediction of Lung Motion From 4-D CT Images , 2015, IEEE Transactions on Medical Imaging.
[19] J Moseley,et al. Sliding characteristic and material compressibility of human lung: parametric study and verification. , 2009, Medical physics.
[20] Suvranu De,et al. Predictive modeling of lung motion over the entire respiratory cycle using measured pressure-volume data, 4DCT images, and finite-element analysis. , 2010, Medical physics.
[21] Michael Velec,et al. Effect of deformable registration uncertainty on lung SBRT dose accumulation. , 2015, Medical physics.
[22] Nassir Navab,et al. A Personalized Biomechanical Model for Respiratory Motion Prediction , 2012, MICCAI.
[23] Jing Wang,et al. Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning , 2019, Visual Computing for Industry, Biomedicine, and Art.
[25] G. Topulos,et al. Transpulmonary Pressure: The Importance of Precise Definitions and Limiting Assumptions. , 2016, American journal of respiratory and critical care medicine.
[26] Jing Wang,et al. Lung surface deformation prediction from spirometry measurement and chest wall surface motion. , 2016, Medical physics.
[27] J. Rodarte,et al. Pleural pressure distribution and its relationship to lung volume and interstitial pressure. , 1991, Journal of applied physiology.
[28] K. Brock,et al. Accuracy of finite element model-based multi-organ deformable image registration. , 2005, Medical physics.
[29] A. Schmidt-Richberg,et al. Estimation of lung motion fields in 4D CT data by variational non-linear intensity-based registration: A comparison and evaluation study , 2014, Physics in medicine and biology.
[30] Stephen Pistorius,et al. Feasibility of predicting tumor motion using online data acquired during treatment and a generalized neural network optimized with offline patient tumor trajectories , 2018, Medical physics.
[31] Yong Wang,et al. Anatomy-based algorithm for automatic segmentation of human diaphragm in noncontrast computed tomography images , 2016, Journal of medical imaging.
[32] Paul J Keall,et al. Tumor and normal tissue motion in the thorax during respiration: Analysis of volumetric and positional variations using 4D CT. , 2007, International journal of radiation oncology, biology, physics.
[33] Thomas Guerrero,et al. Modeling lung deformation: a combined deformable image registration method with spatially varying Young's modulus estimates. , 2013, Medical physics.
[34] Fred L. Bookstein,et al. Principal Warps: Thin-Plate Splines and the Decomposition of Deformations , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[35] Adil Al-Mayah,et al. Toward efficient biomechanical-based deformable image registration of lungs for image-guided radiotherapy. , 2011, Physics in medicine and biology.
[36] Y C Fung,et al. Measurement of the mechanical properties of the human lung tissue. , 1987, Journal of biomechanical engineering.