Respiratory motion correction in dynamic MRI using robust data decomposition registration - Application to DCE-MRI

Motion correction in Dynamic Contrast Enhanced (DCE-) MRI is challenging because rapid intensity changes can compromise common (intensity based) registration algorithms. In this study we introduce a novel registration technique based on robust principal component analysis (RPCA) to decompose a given time-series into a low rank and a sparse component. This allows robust separation of motion components that can be registered, from intensity variations that are left unchanged. This Robust Data Decomposition Registration (RDDR) is demonstrated on both simulated and a wide range of clinical data. Robustness to different types of motion and breathing choices during acquisition is demonstrated for a variety of imaged organs including liver, small bowel and prostate. The analysis of clinically relevant regions of interest showed both a decrease of error (15-62% reduction following registration) in tissue time-intensity curves and improved areas under the curve (AUC60) at early enhancement.

[1]  Milica Medved,et al.  Semiquantitative analysis of dynamic contrast enhanced MRI in cancer patients: Variability and changes in tumor tissue over time , 2004, Journal of magnetic resonance imaging : JMRI.

[2]  James S. Duncan,et al.  Medical Image Analysis , 1999, IEEE Pulse.

[3]  Victor Vianu,et al.  Invited articles section foreword , 2010, JACM.

[4]  Andriy Myronenko,et al.  Intensity-Based Image Registration by Minimizing Residual Complexity , 2010, IEEE Transactions on Medical Imaging.

[5]  David Atkinson,et al.  Influence of Organ Motion and Contrast Enhancement on Image Registration , 2008, MICCAI.

[6]  Sébastien Ourselin,et al.  Fast free-form deformation using graphics processing units , 2010, Comput. Methods Programs Biomed..

[7]  J. Felblinger,et al.  Generalized Reconstruction by Inversion of Coupled Systems (GRICS) applied to free‐breathing MRI , 2008, Magnetic resonance in medicine.

[8]  A. Jackson,et al.  Experimentally‐derived functional form for a population‐averaged high‐temporal‐resolution arterial input function for dynamic contrast‐enhanced MRI , 2006, Magnetic resonance in medicine.

[9]  Michael Brady,et al.  Analysis of dynamic MR breast images using a model of contrast enhancement , 1997, Medical Image Anal..

[10]  Yi Ma,et al.  Robust principal component analysis? , 2009, JACM.

[11]  P. Tofts.  T 1-weighted DCE Imaging Concepts : Modelling , Acquisition and Analysis , 2010 .

[12]  Martin J. Graves,et al.  Comprar MRI from Picture to Proton | Martin R. Prince | 9780521683845 | Cambridge University Press , 2007 .

[13]  M L W Ziech,et al.  Dynamic Contrast- Enhanced MRI in patients with luminal Crohn’s disease , 2013 .

[14]  David Atkinson,et al.  Motion and contrast enhancement separation model reconstruction from partial measurements in dynamic MRI , 2012 .

[15]  Hans-Ulrich Kauczor,et al.  Analysis of intrathoracic tumor mobility during whole breathing cycle by dynamic MRI. , 2004, International journal of radiation oncology, biology, physics.

[16]  Angela Caunce,et al.  Tracer kinetic model–driven registration for dynamic contrast‐enhanced MRI time‐series data , 2007, Magnetic resonance in medicine.

[17]  Hyung Jin Won,et al.  Assessment of Hepatic Function with Gd-EOB-DTPA-Enhanced Hepatic MRI , 2012, Digestive Diseases.

[18]  Zhang Li,et al.  3D Non-rigid Motion Correction of Free-Breathing Abdominal DCE-MRI Data , 2011, Abdominal Imaging.

[19]  Daniel Rueckert,et al.  Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.

[20]  P. Tofts.  Modeling tracer kinetics in dynamic Gd‐DTPA MR imaging , 1997, Journal of magnetic resonance imaging : JMRI.

[21]  María J. Ledesma-Carbayo,et al.  Automatic motion compensation of free breathing acquired myocardial perfusion data by using independent component analysis , 2012, Medical Image Anal..

[22]  M. Knopp,et al.  Functional tumor imaging with dynamic contrast‐enhanced magnetic resonance imaging , 2003, Journal of magnetic resonance imaging : JMRI.

[23]  Marcelino Bernardo,et al.  The role of dynamic contrast-enhanced MRI in cancer diagnosis and treatment. , 2010, Diagnostic and interventional radiology.

[24]  Daniel Rueckert,et al.  Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images , 2000, MICCAI.

[25]  David Atkinson,et al.  Quantitative assessment of small bowel motility by nonrigid registration of dynamic MR images , 2012, Magnetic resonance in medicine.

[26]  Martin J. Graves,et al.  MRI from Picture to Proton , 2017 .

[27]  Christine Tanner,et al.  Quantitative evaluation of free-form deformation registration for dynamic contrast-enhanced MR mammography. , 2007, Medical physics.

[28]  Pablo A. Parrilo,et al.  Rank-Sparsity Incoherence for Matrix Decomposition , 2009, SIAM J. Optim..

[29]  J Felblinger,et al.  Motion compensated generalized reconstruction for free‐breathing dynamic contrast‐enhanced MRI , 2011, Magnetic resonance in medicine.

[30]  William M. Wells,et al.  Medical Image Computing and Computer-Assisted Intervention — MICCAI’98 , 1998, Lecture Notes in Computer Science.

[31]  Frédérique Frouin,et al.  New criteria for assessing fit quality in dynamic contrast‐enhanced T1‐weighted MRI for perfusion and permeability imaging , 2005, Magnetic resonance in medicine.

[32]  Geoff J M Parker,et al.  Imaging Tumor Vascular Heterogeneity and Angiogenesis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging , 2007, Clinical Cancer Research.

[33]  James C. Gee,et al.  Accurate registration of dynamic contrast-enhanced breast mr images with robust estimation and linear programming , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[34]  Xiaoming Yuan,et al.  Sparse and low-rank matrix decomposition via alternating direction method , 2013 .

[35]  Michael Brady,et al.  Simultaneous Segmentation and Registration of Contrast-Enhanced Breast MRI , 2005, IPMI.

[36]  David Atkinson,et al.  Respiratory Motion Correction in Dynamic-MRI: Application to Small Bowel Motility Quantification during Free Breathing , 2013, MICCAI.

[37]  Laurent Risser,et al.  Motion Correction and Parameter Estimation in dceMRI Sequences: Application to Colorectal Cancer , 2011, MICCAI.

[38]  S Ourselin,et al.  The effect of motion correction on pharmacokinetic parameter estimation in dynamic-contrast-enhanced MRI. , 2011, Physics in medicine and biology.

[39]  Karl J. Friston,et al.  Spatial Normalization using Basis Functions , 2003 .

[40]  D Atkinson,et al.  Registration of dynamic contrast-enhanced MRI using a progressive principal component registration (PPCR) , 2007, Physics in medicine and biology.

[41]  Torsten Rohlfing,et al.  Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint , 2003, IEEE Transactions on Medical Imaging.