Added value of non-rigid image registration for intrafraction dose accumulation in magnetic resonance imaging-guided prostate radiotherapy [PDF]
This work investigates potential advantages of non-rigid versus rigid image registration for intrafraction dose reconstruction in hypofractionated prostate radiotherapy. The data of 15 patients were analyzed using 3D cine magnetic resonance imaging (MRI)
Georgios Tsekas +4 more
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Non-rigid image registration of 4D-MRI data for improved delineation of moving tumors [PDF]
Background To increase the image quality of end-expiratory and end-inspiratory phases of retrospective respiratory self-gated 4D MRI data sets using non-rigid image registration for improved target delineation of moving tumors. Methods End-expiratory and
Stefan Weick +9 more
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A Novel Correspondence Selection Technique for Affine Rigid Image Registration
This paper presents a novel technique called correspondence selection for rigid transformations in order to effectively refine keypoint matches in rigid image registration. The proposed technique mainly lies in the following two components.
Guohua Lv
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The non-rigid multi-modal three-dimensional (3D) medical image registration is highly challenging due to the difficulty in the construction of similarity measure and the solution of non-rigid transformation parameters.
Feng Yang, Mingyue Ding, Xuming Zhang
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An Effective Non-Rigid Registration Approach for Ultrasound Images Based on the Improved Variational Model of Intensity, Local Phase Information and Descriptor Matching [PDF]
Ultrasound images have some limitations, such as low signal-to-noise ratio (SNR), speckle noise, lower dynamic range, blurred boundaries, and shadowing; therefore, ultrasound image registration is an important task for estimating tissue motion and ...
Kun Zhang, Jinming Xing, Qingtai Xiao
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Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving
In this paper, a robust non-rigid feature matching approach for image registration with geometry constraints is proposed. The non-rigid feature matching approach is formulated as a maximum likelihood (ML) estimation problem.
Hao Zhu +4 more
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Rigid registration algorithm based on the minimization of the total variation of the difference map
Image registration is broadly used in various scenarios in which similar scenes in different images are to be aligned. However, image registration becomes challenging when the contrasts and backgrounds in the images are vastly different.
Xianghui Xiao +4 more
doaj +1 more source
Fully Leveraging Deep Learning Methods for Constructing Retinal Fundus Photomontages
Retinal photomontages, which are constructed by aligning and integrating multiple fundus images, are useful in diagnosing retinal diseases affecting peripheral retina.
Jooyoung Kim +4 more
doaj +1 more source
Multimodal image registration is an important component of medical image processing, allowing the integration of complementary information from various imaging modalities to improve clinical applications like diagnosis and treatment planning. We proposed
Anika Strittmatter +2 more
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Adaptive Physics-Based Non-Rigid Registration for Immersive Image-Guided Neuronavigation Systems
Objective: In image-guided neurosurgery, co-registered preoperative anatomical, functional, and diffusion tensor imaging can be used to facilitate a safe resection of brain tumors in eloquent areas of the brain. However, the brain deforms during surgery,
Fotis Drakopoulos +15 more
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