Regional Lung Ventilation Analysis Using Temporally Resolved Magnetic Resonance Imaging
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René Werner | Julien Dinkel | Andreas Wetscherek | Klaus Maier-Hein | Christopher M Rank | Marc Kachelrie | Michael Kreuter | Christoph Kolb | Maria Teodora Buzan | Claus Peter Heuel
[1] Thomas Guerrero,et al. Ventilation from four-dimensional computed tomography: density versus Jacobian methods , 2010, Physics in medicine and biology.
[2] 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.
[3] Jürgen Biederer,et al. Magnetic resonance imaging and computed tomography of respiratory mechanics. , 2010, Journal of magnetic resonance imaging : JMRI.
[4] Jean-Philippe Thirion,et al. Image matching as a diffusion process: an analogy with Maxwell's demons , 1998, Medical Image Anal..
[5] R. Castillo,et al. Four-dimensional deformable image registration using trajectory modeling , 2010, Physics in medicine and biology.
[6] J. McClelland,et al. A continuous 4D motion model from multiple respiratory cycles for use in lung radiotherapy. , 2006, Medical physics.
[7] B Jonson,et al. Comprehensive ventilation/perfusion SPECT. , 2001, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[8] Ralf Tetzlaff,et al. 4D-MRI analysis of lung tumor motion in patients with hemidiaphragmatic paralysis. , 2009, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[9] Gábor Székely,et al. Improved Reconstruction of 4D-MR Images by Motion Predictions , 2014, MICCAI.
[10] Hans-Peter Meinzer,et al. Automated scoring of regional lung perfusion in children from contrast enhanced 3D MRI , 2012, Medical Imaging.
[11] Hans-Peter Meinzer,et al. A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation , 2007, IPMI.
[12] R. Castillo,et al. A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets , 2009, Physics in medicine and biology.
[13] Joachim Hornegger,et al. Self-gated Radial MRI for Respiratory Motion Compensation on Hybrid PET/MR Systems , 2013, MICCAI.
[14] E. Maffei,et al. High-resolution CT in diagnosis of diffuse infiltrative lung disease. , 2005, Seminars in ultrasound, CT, and MR.
[15] Hans-Peter Meinzer,et al. Lung function measurement of single lungs by lung area segmentation on 2D dynamic MRI. , 2010, Academic radiology.
[16] James C. Gee,et al. Towards a model of lung biomechanics: pulmonary kinematics via registration of serial lung images , 2005, Medical Image Anal..
[17] 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.
[18] Heinz Handels,et al. A 4D Statistical Shape Model for Automated Segmentation of Lungs with Large Tumors , 2012, MICCAI.
[19] Stefan Sawall,et al. Iterative 4D cardiac micro-CT image reconstruction using an adaptive spatio-temporal sparsity prior , 2012, Physics in medicine and biology.
[20] Hans-Peter Seidel,et al. Spherical barycentric coordinates , 2006, SGP '06.
[21] M. Puderbach,et al. MRI of the lung (2/3). Why … when … how? , 2012, Insights into Imaging.
[22] Klaus H. Maier-Hein,et al. The Medical Imaging Interaction Toolkit: challenges and advances , 2013, International Journal of Computer Assisted Radiology and Surgery.
[23] Y X Yang,et al. A hybrid approach for fusing 4D-MRI temporal information with 3D-CT for the study of lung and lung tumor motion. , 2015, Medical physics.