The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We developed an epoch-making portable intelligent medicine case for recipients who take medicine every day. The medicine case consists of a recipient's smartphone and a mirror-embedded pill organizer. The smartphone captures medicines in the storage compartments of the organizer by using its built-in camera. The positions and shapes of mirrors were optimized in order that the smartphone can confirm...
Right ventricular (RV) function is increasingly recognized to play an important role in the clinical status and long-term outcome in patients with congenital heart disease as well as ischemic cardiomyopathy with left ventricular dysfunction. However, quantification of RV characteristics and function are still challenging due to its complex morphology and its thin wall with coarse trabeculations. To...
Initial contour learning plays a very important role in the active contour model segmentation. In this paper, a novel shape sharing based method is proposed for initial shapes learning. The main insight of the method is that shapes are often shared between objects of different categories. To exploit the “shape sharing” phenomenon, the local shapes of the test images are firstly extracted. Then the...
This paper presents a comparison between different image registration approaches to register infrared (IR) and hematoxylin and eosin (H&E) stained images. This registration will be needed as the first step of a new process based on mid-IR images, that will help clinicians in cancer early diagnosis, providing them with more information about the tissue under examination. The aim of the registration...
This paper proposes an interface for controlling medical images using hand gestures. The proposed interface has two modes. One is a surgery-ready mode that a RGB-D camera captures a surgeon's body and the interface provides hand-based interactions with medical images before beginning a surgery. The other is a surgery mode that the camera captures a patient's body, and the surgeon can take a picture...
The iris of a human is not only relevant for biometry; it is also relevant for the prediction and diagnosis of human health. One understands by iris diagnosis (Iridology) the investigation and analysis of the colored part of the eye, the iris, to discover factors which play an important role for the prevention and treatment of illnesses. Up-to-date the iris diagnosis is done manually and is concerned...
Cranioplasty is a surgical operation to repair hole or defects on skull. 3 dimensional computed tomography (CT) images are used for automatic determination of the shape of implant which is used for repairing defect. The designing implant by mathematical model and manufacturing it before operation lowers the operation cost. In this paper, previous studies are examined, applications are realized by...
This paper presents a complete framework for automatic detection of malignant cells in microscopic images acquired from tissue biopsies of follicular lymphoma. After pre-processing to remove noise and suppress small details, images are segmented by using intensity thresholding, in order to detect the cell nuclei. Subsequently, touching cells are being separated using Expectation Maximization algorithm...
In this work we propose a machine learning approach to improve shape detection accuracy in medical images with deformable contour models (DCMs). Our DCMs can efficiently recover globally optimal solutions that take into account constraints on shape and appearance in the model fitting criterion; our model can also deal with global scale variations by operating in a multi-scale pyramid. Our main contribution...
Shape information is essential in medical image analysis as the anatomical structures usually have strong shape characteristics. Shape priors can resolve ambiguities when the low level appearance is weak or misleading due to imaging artifacts and diseases. In this paper, we propose a shape prior model based on the Gaussian-Bernoulli Restricted Boltzmann Machine (GB-RBM). This powerful generative model...
Digital pathology is becoming more widely used in clinical practice. More generally, there is also a trend to extract genomic and proteomic information from primary tissues at a single cell level. Recently developed technologies enable this type of analysis while preserving the overall integrity of the tissue. Imaging plays a crucial role as it establishes the context of the individual cell and the...
Statistical shape analysis is a widely studied topic with applications ranging in biology, anatomy, neuroscience, agriculture, paleontology, etc. In many cases, two sets of shapes are input to the algorithm and the output is a mean shape with a scalar map defined on it indicating the local discrepancy between the two groups. In this work, we propose a new shape analysis algorithm. It is able to handle...
Image segmentation plays an important role in many medical applications. Automatic segmentation algorithms are challenged by low SNR and significant artifacts resulting from motion and signal voids. In this study, we propose a novel level set based segmentation method with a shape dictionary. Unlike previous studies that use a single template or probabilistic models, we propose to construct a shape...
In the recent years, reconstructing 3D liver and its vessels from abdominal CT volume images becomes an inevitable and necessary research field. In this paper, a method of 3D reconstruction of liver with its vessels has been implemented, which involves volume preprocessing, de-noising, segmentation, contouring, and combination of different modalities. An advanced liver segmentation algorithms have...
An automated recognition technique was proposed for providing information on such as the skeleton of thoracic aorta, diameter of each cross-section along the skeleton, curvature of it and position of the aneurysm on the aorta using multi-slice CT images. The information was indispensable to design a stent with perfect fitting to the patient's aorta aneurysm region so that the stent kept the original...
This article introduces hybrid automatic liver Parenchyma segmentation approach from abdominal CT images. The proposed approach consist of four main phases. Firstly, preprocessing phase which converts CT image into binary image using adaptive threshold method that examine the intensity values of the local neighborhood of each pixel. Then, the second phase is to apply multi-scale morphological operators...
Graph cut based interactive segmentation is useful to extract objects from images. Color and gradient constraints are two terms appearing in most of energy functions of related methods. In order to balance the two constraints, state-of-theart methods adopt a pre-given fixed weight. However, different images and even different parts in a single image have different demands for proportion of the two...
Hamamatsu's Multi-Pixel Photon Counters (MPPCs) satisfy the requirements of simultaneous Time-of-Flight (ToF) PET-MR operation, matching the gain and speed of vacuum photomultipliers while being immune to magnetic fields. They have been used to construct MR-compatible PET detectors that have demonstrated excellent timing performance on a prototype whole-body PET/MR scanner. Charge amplification in...
The physiological consequences of Alzheimer's disease (AD) concern the development of amyloid plaques and neurofibrillary tangles. Development of amyloid plaques in the brain is caused by Amyloid Beta that forms part of an amyloid precursor protein. In a normal brain, these protein fragments are broken down and eliminated but with AD, these fragments accumulate to form hard insoluble plaques. Our...
The use of MMW images has been proposed recently in the biometric field aiming to overcome certain limitations when using images acquired at visible frequencies. In this paper, several body shape-based techniques are applied to model the silhouette of images of people acquired at 94 GHz. Three main approaches are presented: a baseline system based on the Euclidean distance, a dynamic programming method...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.