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Cataract is the leading cause of blindness worldwide. In this paper, registration of retroillumination image is investigated for detection of cortical and posterior subcapsular cataract (PSC). The pupil region is detected by local entropy filtering. The anterior image and posterior image are registered using maximum normalized cross-correlation. The registration of anterior and posterior image can...
This paper presents a new technique, used to register two images of the same modality and that are assumed to be differ from each other, by a rotation and a scale. Recently, researchers have introduced image registration techniques using log-polar transform for its scale and rotation invariant properties. However, it suffers from non-uniform sampling and it leads to inaccurate registration. Inspired...
A new approach is proposed to correct geometric distortion and reduce space and time-variant blur in videos that suffer from atmospheric turbulence. We first register the frames to suppress geometric deformation using a B-spline based non-rigid registration method. Next, a fusion process is carried out to produce an image from the registered frames, which can be viewed as being convolved with a space...
Introduction: Advanced Normalization Tools (ANTs) is an image registration program that has been validated for analysis of several tissues, but not previously applied to the disc. The objectives of this study were to optimize ANTs for disc image registration and to validate ANTs strain measurements by comparison with Vic2D, a commercially available software previously applied to quantify disc strain,...
Spatial resolution enhancement is usually required in the remote sensing field. Super-Resolution (SR) is a fusion process for reconstructing a High-Resolution (HR) image from several Low-Resolution (LR) images covering the same region in the world. It is difficult, however, for some satellite remote sensing arrangements to get several images of the same scene in a short time, especially for highly...
This paper proposes a 2D face recognition algorithm using phase-based correspondence matching. The phase information obtained from 2D DFT (Discrete Fourier Transform) of images contains important information of image representation. The phase-based image matching is successfully applied to sub-pixel image registration tasks for computer vision applications and image recognition tasks for biometric...
A Printed photograph cannot be used to recover the original digital image with improved accuracy because of distortions introduced during the process of scanning the printed material. This paper describes a method to recover the original digital images from the print-scan channel with improved quality. We solve this approximation problem by formulating a method for approximating the original digital...
When register a pair of remotely sensed images with very different spatial resolution, the diversity of their shape and tone results in lower precision and success rate. The paper proposes an algorithm of moveably resampled template match to fine register them, which resamples the high-resolution images to a sub-image by a movable mask plate, and then uses template matching method to register the...
We present a new registration method for whole-body rat computed tomography (CT) image and positron emission tomography (PET) images using a weighted demons algorithm. The CT and PET images are acquired in separate scanners at different times and the inherent differences in the imaging protocols produced significant nonrigid changes between the two acquisitions in addition to heterogeneous image characteristics...
Motion estimation, also known as optic flow, refers to the process of determining a 2D displacement field that aligns two images. Most methods that estimate motion or deformation fields in biological image sequences rely on sparse, distinct features (landmarks). Going a step forward, we are interested in methods to compute dense deformation fields (for all pixels). In this paper we compare two of...
Plaque composition analysis is a critical tool in identifying vulnerable atherosclerotic plaques. Intravascular ultrasound with spectral analysis of the backscattered radio frequency (RF) signals (IVUS-VH) is currently considered as the gold standard for the evaluation of coronary plaque composition, while CT coronary angiography (CTA) has been proposed as a potential non-invasive counterpart. In...
In automatic facial expression detection, very accurate registration is desired which can be achieved via a deformable model approach where a dense mesh of 60-70 points on the face is used, such as an active appearance model (AAM). However, for applications where manually labeling frames is prohibitive, AAMs do not work well as they do not generalize well to unseen subjects. As such, a more coarse...
In this study, we aim at reconstructing single photon emission computed tomography (SPECT) images using a Bayesian framework to incorporate anatomical information from magnetic resonance (MR) as a priori knowledge about the activity distribution. This is achieved using an anatomically-driven Bowsher prior (BP). Standard BP has the potential to obtain similar results as other state-of-the-art prior...
Cardiac magnetic resonance imaging has proved its effectiveness to determine the patient-specific myocardial motion/functional information via the cine imaging and to detect myocardial infarction in the delayed enhanced MRI (DE-MRI). Standard cardiac MR protocols usually acquire these two sets of images across multiple acquisitions with varying imaging slice geometry, pixel spacing and different breath-holdings,...
Investigating multi-feature information-theoretic image registration, we introduce consistent and asymptotically unbiased kth-nearest neighbor (kNN) estimators of mutual information (MI), normalized MI and exclusive information applicable to high-dimensional random variables, and derive under closed-form their gradient flows over finite- and infinite-dimensional transform spaces. Using these results,...
The registration of breast DCE-MR images can help correct possible motions during image acquisition, and is also important for diagnosis of breast cancer, i.e., discrimination between benign and malignant tumors. However, deformable registration of DCE-MR images is challenging due to drastic image contrast change over time (especially between pre- and post-contrast images). To improve the registration,...
Arterial spin labeling (ASL) allows non-invasive imaging and quantification of brain perfusion by magnetically labeling blood in the brain-feeding arteries. ASL has been used to study cerebrovascular diseases, brain tumors and neurodegenerative disorders as well as for functional imaging. The use of a perfusion template could be of great interest to study inter-subject regional variation of perfusion...
Magnetic resonance imaging (MRI) allows continuous temperature mapping inside the human body and is thus a promising tool to guide thermal therapies. For abdominal organs, a real time motion compensation is required to allow quantitative temperature measurements and to permit retro-active control of the heating device. Although optical flow based algorithms have shown promise for this role, intensity...
Registration of 3-D aortic model onto X-ray images provides anatomical details for optimal valve deployment in Trans-catheter aortic valve implantation (TAVI) procedures. Fast and automatic contrast detection in the aortic root in fluoroscopic sequences facilitates a seamless workflow by triggering 2-D/3-D registration automatically when necessary. In this paper, we propose an integrated spatial and...
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