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In this paper, we propose a deep learning approach for image registration by predicting deformation from image appearance. Since obtaining ground-truth deformation fields for training can be challenging, we design a fully convolutional network that is subject to dual-guidance: (1) Ground-truth guidance using deformation fields obtained by an existing registration method; and (2) Image dissimilarity guidance using the difference between the images after registration. The latter guidance helps avoid overly relying on the supervision from the training deformation fields, which could be inaccurate. For effective training, we further improve the deep convolutional network with gap filling, hierarchical loss, and multi-source strategies. Experiments on a variety of datasets show promising registration accuracy and efficiency compared with state-of-the-art methods.
This article was published in the following journal.
Name: Medical image analysis
Brain image segmentation is of great importance not only for clinical use but also for neuroscience research. Recent developments in deep neural networks (DNNs) have led to the application of DNNs to ...
Plantar pressure image (PPI) recorded in high spatial and temporal resolution is very useful in clinical gait analysis. For functional analysis of PPI, image registration is often performed to maximal...
Multi-atlas-based methods are commonly used for MR brain image labeling, which alleviates the burdening and time-consuming task of manual labeling in neuroimaging analysis studies. Traditionally, mult...
Image registration lies in the core of augmented reality (AR), which aligns the virtual scene with the reality. In AR surgical navigation, the performance of image registration is vital to the surgica...
Head motion is a major source of image artefacts in neuroimaging studies and can lead to degradation of the quantitative accuracy of reconstructed PET images. Simultaneous magnetic resonance-positron ...
Electromagnetic navigation systems have proved feasible for precise intraoperative guiding during videobronchoscopy and endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA...
Because electrochemotherapy is a quick and effective treatment for cutaneous metastases, a novel electrode device has been developed for treatment in soft tissue such as the brain. Up to 1...
The aim of this protocol is to refine the accuracy of proton beam therapy (PT) by the use of dual energy computed tomography (DECT), in conjunction with novel iterative image reconstructio...
Fluoroscopy is traditionally used for guidance of endovascular aortic repair (EVAR). In order to minimize exposure to radiation and nephrotoxic contrast medium, it is possible to generate ...
The study aims to identify neural locus critical for dual-task walking (walking and talking) in individuals with stroke. To achieve this aim, the investigators apply repetitive transcrania...
A method of delineating blood vessels by subtracting a tissue background image from an image of tissue plus intravascular contrast material that attenuates the X-ray photons. The background image is determined from a digitized image taken a few moments before injection of the contrast material. The resulting angiogram is a high-contrast image of the vessel. This subtraction technique allows extraction of a high-intensity signal from the superimposed background information. The image is thus the result of the differential absorption of X-rays by different tissues.
The production of an image obtained by cameras that detect the radioactive emissions of an injected radionuclide as it has distributed differentially throughout tissues in the body. The image obtained from a moving detector is called a scan, while the image obtained from a stationary camera device is called a scintiphotograph.
A visual image which is recalled in accurate detail. It is a sort of projection of an image on a mental screen.
A dual specificity phosphatase subtype that plays a role in intracellular signal transduction by inactivating MITOGEN-ACTIVATED PROTEIN KINASES. It has specificity for EXTRACELLULAR SIGNAL-REGULATED MAP KINASES.
A dual specificity phosphatase subtype that plays a role in intracellular signal transduction by inactivating MITOGEN-ACTIVATED PROTEIN KINASES. It has specificity for EXTRACELLULAR SIGNAL-REGULATED MAP KINASES and is primarily localized to the CYTOSOL.
Standard antiretroviral therapy (ART) consists of the combination of at least three antiretroviral (ARV) drugs to maximally suppress the HIV virus and stop the progression of HIV disease. Huge reductions have been seen in rates of death and suffering whe...