Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation.
Joseph M. Reinhardt,Kai Ding,Kunlin Cao,Gary E. Christensen,Eric A. Hoffman,Shalmali V. Bodas +5 more
TLDR
A registration-based technique for estimating local lung expansion from multiple respiratory-gated CT images of the thorax using the Jacobian of the registration displacement field is described, which it is shown is directly related to specific volume change.About:
This article is published in Medical Image Analysis.The article was published on 2008-12-01 and is currently open access. It has received 324 citations till now. The article focuses on the topics: Image registration.read more
Citations
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Computed tomography-based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression
Craig J. Galbán,MeiLan K. Han,Jennifer L. Boes,Komal Chughtai,Charles R. Meyer,Timothy D. Johnson,Stefanie Galbán,Alnawaz Rehemtulla,Ella A. Kazerooni,Fernando J. Martinez,Brian D. Ross +10 more
TL;DR: PRM is a versatile imaging biomarker capable of diagnosing disease extent and phenotype while providing detailed spatial information of disease distribution and location and its ability to differentiate between specific COPD phenotypes will allow for more accurate diagnosis of individual patients, complementing standard clinical techniques.
Journal ArticleDOI
Emerging Applications of Bedside 3D Printing in Plastic Surgery
Michael P. Chae,Warren M. Rozen,Paul G. McMenamin,Michael Findlay,Robert T. Spychal,David J. Hunter-Smith +5 more
TL;DR: The potential of 3D printing to become an essential office-based tool in plastic surgery to assist in preoperative planning, developing intraoperative guidance tools, teaching patients and surgical trainees, and producing patient-specific prosthetics in everyday surgical practice is discussed.
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Nonrigid registration of dynamic medical imaging data using nD + t B-splines and a groupwise optimization approach.
TL;DR: The method showed subvoxel accuracy while delivering smooth transformations, and high consistency of the registration results, and the accuracy of semi-automatic derivation of left ventricular volume curves from 3D+t computed tomography angiography data of the heart was evaluated.
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MRF-Based Deformable Registration and Ventilation Estimation of Lung CT
TL;DR: An image-derived minimum spanning tree is used as a simplified graph structure and a stochastic sampling approach for the similarity cost between images is introduced within a symmetric, diffeomorphic B-spline transformation model with diffusion regularization, reducing complexity by orders of magnitude and enabling the minimization of much larger label spaces.
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Four-dimensional deformable image registration using trajectory modeling.
Edward M. Castillo,Richard Castillo,Richard Castillo,Josue G. Martinez,Maithili Shenoy,Thomas Guerrero,Thomas Guerrero,Thomas Guerrero +7 more
TL;DR: The 4DLTM method captures the long-range motion between 4DCT extremes with high spatial accuracy and is compared with an alternative registration approach in which component phase to phase (CPP) DIR is utilized to determine the full displacement between maximum inhale and exhale images.
References
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Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images
TL;DR: A sequence of morphological operations is used to smooth the irregular boundary along the mediastinum in order to obtain results consistent with these obtained by manual analysis, in which only the most central pulmonary arteries are excluded from the lung region.
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Regional distribution of inspired gas in the lung
TL;DR: Evidence is presented suggesting that the uneven distribution of ventilation in the normal lung is the consequence of regional differences in pleural pressure.
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Consistent image registration
TL;DR: The results show that the joint estimation of a consistent set of forward and reverse transformations constrained by linear-elasticity give better registration results than using either constraint alone or none at all.
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Consistent landmark and intensity-based image registration
TL;DR: Results using 2-D magnetic resonance imaging data are presented that demonstrate that using landmark and intensity information together produce better correspondence between medical images than using either landmarks or intensity information alone.
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Dynamic ventilation imaging from four-dimensional computed tomography.
Thomas Guerrero,Thomas Guerrero,Kevin Sanders,Edward M. Castillo,Yin Zhang,Luc Bidaut,Tinsu Pan,Ritsuko Komaki +7 more
TL;DR: The spatial distribution of ventilation was found to be case specific and a 30% difference in mass-specific ventilation between the lower and upper lung halves was found and these images may be useful in radiotherapy planning.