Emerging applications of bedside 3D printing in plastic surgery

MP Chae, WM Rozen, PG McMenamin… - Frontiers in …, 2015 - frontiersin.org
Modern imaging techniques are an essential component of preoperative planning in plastic
and reconstructive surgery. However, conventional modalities, including three-dimensional …

Personalizing mechanical ventilation according to physiologic parameters to stabilize alveoli and minimize ventilator induced lung injury (VILI)

GF Nieman, J Satalin, P Andrews, H Aiash… - Intensive care medicine …, 2017 - Springer
It has been shown that mechanical ventilation in patients with, or at high-risk for, the
development of acute respiratory distress syndrome (ARDS) can be a double-edged sword …

Computed tomography–based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression

CJ Galbán, MK Han, JL Boes, KA Chughtai… - Nature medicine, 2012 - nature.com
Chronic obstructive pulmonary disease (COPD) is increasingly being recognized as a highly
heterogeneous disorder, composed of varying pathobiology. Accurate detection of COPD …

MRF-based deformable registration and ventilation estimation of lung CT

MP Heinrich, M Jenkinson, M Brady… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Deformable image registration is an important tool in medical image analysis. In the case of
lung computed tomography (CT) registration there are three major challenges: large motion …

Nonrigid registration of dynamic medical imaging data using nD+ t B-splines and a groupwise optimization approach

CT Metz, S Klein, M Schaap, T van Walsum… - Medical image …, 2011 - Elsevier
A registration method for motion estimation in dynamic medical imaging data is proposed.
Registration is performed directly on the dynamic image, thus avoiding a bias towards a …

Four-dimensional deformable image registration using trajectory modeling

E Castillo, R Castillo, J Martinez… - Physics in Medicine …, 2009 - iopscience.iop.org
A four-dimensional deformable image registration (4D DIR) algorithm, referred to as 4D local
trajectory modeling (4DLTM), is presented and applied to thoracic 4D computed tomography …

FissureNet: a deep learning approach for pulmonary fissure detection in CT images

SE Gerard, TJ Patton, GE Christensen… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Pulmonary fissure detection in computed tomography (CT) is a critical component for
automatic lobar segmentation. The majority of fissure detection methods use feature …

Mass preserving nonrigid registration of CT lung images using cubic B‐spline

Y Yin, EA Hoffman, CL Lin - Medical physics, 2009 - Wiley Online Library
The authors propose a nonrigid image registration approach to align two computed‐
tomography (CT)‐derived lung datasets acquired during breath‐holds at two inspiratory …

GraphRegNet: Deep graph regularisation networks on sparse keypoints for dense registration of 3D lung CTs

L Hansen, MP Heinrich - IEEE Transactions on Medical Imaging, 2021 - ieeexplore.ieee.org
In the last two years learning-based methods have started to show encouraging results in
different supervised and unsupervised medical image registration tasks. Deep neural …

Ventilation from four-dimensional computed tomography: density versus Jacobian methods

R Castillo, E Castillo, J Martinez… - Physics in Medicine & …, 2010 - iopscience.iop.org
Two calculation methods to produce ventilation images from four-dimensional computed
tomography (4DCT) acquired without added contrast have been reported. We reported a …