Results 31 to 40 of about 31,416 (280)
IEEE Access, 2017 Delineation of the cardiac right ventricle is essential in generating clinical measurements such as ejection fraction and stroke volume. Given manual segmentation on the first frame, one approach to segment right ventricle from all of the magnetic ...
Kumaradevan Punithakumar +2 more
doaj +1 more source
On voxel-by-voxel accumulated dose for prostate radiation therapy using deformable image registration. [PDF]
, 2015 Since delivered dose is rarely the same with planned, we calculated the delivered total dose to ten prostate radiotherapy patients treated with rectal balloons using deformable dose accumulation (DDA) and compared it with the planned dose.
Bender, Edward T. +5 more
core +2 more sources
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration
, 2018 Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep learning methods, notably convolutional neural networks (ConvNets), can be ...
Berendsen, Floris F. +5 more
core +2 more sources
Deep-learning-based deformable image registration of head CT and MRI scans
Frontiers in Physics, 2023 This work is motivated by the lack of publications on the direct application of multimodal image registration with deep-learning techniques for the enhancement of treatment planning in particle therapy.
Alexander Ratke +16 more
doaj +1 more source
Fast Predictive Simple Geodesic Regression
, 2017 Deformable image registration and regression are important tasks in medical image analysis. However, they are computationally expensive, especially when analyzing large-scale datasets that contain thousands of images.
CR Jack +7 more
core +1 more source
A metric for evaluation of deformable image registration
SPIE Proceedings, 2015 We propose a new metric, local uncertainty (LU) for the evaluation of deformable image registration (DIR) for dose accumulation in radiotherapy. LU measures the uncertainty of placement of each voxel in an image set after a DIR. The underlying concept of LU is that the distance between a focused voxel and a surrounding voxel on an image feature such as
Akihiro Takemura +5 more
openaire +1 more source
Journal of Medical PhysicsBackground: Adaptive radiotherapy for non-small cell lung cancer (NSCLC) requires accurate image registration to account for anatomical changes during treatment.
Siti Zulaikho +5 more
doaj +1 more source
Adversarial Deformation Regularization for Training Image Registration Neural Networks [PDF]
, 2018 We describe an adversarial learning approach to constrain convolutional neural network training for image registration, replacing heuristic smoothness measures of displacement fields often used in these tasks.
Barratt, Dean C. +8 more
core +2 more sources
Multiscale Approach for Bounded Deformation Image Registration
Fractal and Fractional, 2022 Deformable image registration is a very important topic in the field of image processing. It is widely used in image fusion and shape analysis. Generally speaking, image registration models can be divided into two categories: smooth registration and non ...
Yunfeng Du, Huan Han
doaj +1 more source
A method for quantitative analysis of regional lung ventilation using deformable image registration of CT and hybrid hyperpolarized gas/H-1 MRI [PDF]
, 2014 Hyperpolarized gas magnetic resonance imaging (MRI) generates highly detailed maps of lung ventilation and physiological function while CT provides corresponding anatomical and structural information.
Brightling, C.E. +10 more
core +1 more source