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During the recent years, there have been many studies implemented on the automatic diagnosis of Alzheimer's Disease (AD) using different methods. The focus of most of these studies has relied upon the detection of AD from neu-roimaging data. However, recognizing symptoms early as much as possible(Pre-detection) is crucial as disease modifying drugs will be most effective if administered early in the...
One quarter of women who undergo breast lumpectomy to treat early-stage breast cancer in the United States undergo a repeat surgery due to concerns that residual tumor was left behind. This has led to a significant increase in women choosing mastectomy operations in the United States. We have developed a mixed-reality system that projects a 3D “hologram” of images from a breast MRI onto a patient...
In recent years, dysphagia is problem among elderly people. Therefore, it is necessary to accurately evaluate swallowing function in order to prevent swallowing disorder beforehand or to detect it early, and it is considered that evaluation of swallowing function using MRI is useful, and the demand for development of CAD system using MRI is increasing. In order to accurately analyze the swallowing...
A numerical study of a radio frequency transceiver coil incorporating a capacitive metasurface is investigated for 1.5T magnetic resonance imaging of the cervical spinal cord. Full field simulations are carried out using the head of a human body model where the magnetic flux density (B1−) is compared to a standard transceiver coil. It is shown that an average improvement in B1− of 70% can be observed...
Osteoarthritis has become a very rapidly spreading disorder of bones and joints among old people and young athletes indulging in sports such as soccer, hockey, etc. Injuries of the knee like tears in the meniscus can be seen very commonly in young athletes as well as the aged people. The Computer-Aided Diagnosis (CAD) systems help to a large extent and can play a major role in their detection. In...
With the advent of new technologies in the field of medicine, there is rising awareness of biomechanisms, and we are better able to treat ailments than we could earlier. Deep learning has helped a lot in this endeavor. This paper deals with the application of deep learning in brain tumor segmentation. Brain tumors are difficult to segment automatically given the high variability in the shapes and...
We demonstrate a flexibly controllable molding of electromagnetic waves by designing magnetic metamaterials and metasrufaces with an array of ferrite rods under a particularly arranged bias magnetic field. The manipulation is accomplished for both the spatially propagating waves and the surface waves confined at the interface. Nonreciprocal properties associated with the magnetic surface plasmon resonance...
In this paper, we present a new unsupervised prostate cancer (PCa) localization algorithm for the peripheral zone (PZ), utilizing well-established rules used in clinical PCa diagnosis from mpMRI data. We perform clustering on ADC and DWI images accompanied by T2W examination of clustered regions and then combined with DCE findings. For each of the 10 analysed patients, we obtain a likelihood map showing...
High resolution (HR) volume reconstruction is a collection of post-processing algorithms applied to enhance out-of-plane or sub-voxel image quality. In this work, we use HR reconstruction to combine three orthogonal magnetic resonance (MR) acquisitions of the prostate, i.e. axial, sagittal and coronal. The three orthogonal MR volumes are first resampled, registered and intensity-corrected. Then we...
Machine learning is a useful method to assess biomedical data. However, due to the complexity of these data, it is important to rely on a robust methodology. Predictions with machine learning are not only an add-on to statistical analysis but are a real process of discovering and establishing clinical validity of the diagnostic techniques. This paper describes a machine learning approach to predict...
This paper compares the numerical results for the induced electric field and the specific absorption rate (SAR) obtained using the hybrid FEM/BEM method in two detailed models of the human eye. The first model features the human eye placed in the free space, while the second one incorporates the eye model in the realistic head model obtained from the magnetic resonance imaging (MRI) scans. Although...
Dose calculation from MRI is a topical issue. New treatment systems combining a linear accelerator with a MRI have been recently being developed. MRI has good soft tissue contrast without ionizing radiation exposure. However, unlike CT, MRI does not provide electron density information necessary for dose calculation. We propose in this paper a machine learning method to simulate a CT from a target...
This work presents a 180-nm CMOS bandpass ΣΔ Analog-to-Digital Converter (ADC) developed to fulfill the specifications of a fully-integrated receiver for Magnetic Resonance Imaging (MRI). CMOS integration of a multichannel digital receiver would increase the quality of the image without the need of using many coaxial cables to connect the RF coils (located close to the patient) with the digitizing...
Human limb amputation following severe injuries or bacterial infection caused by accidents, vascular diseases and diabetes has significant impact to the well-being of a person. Limb amputation is usually replaced by prostheses to restore the look of the limb as well as the basic function of the missing limb that can assist patient on activities of daily living. Improvement on robotic prostheses in...
In the modern life, people often face a few dangerous diseases, the time is considered as gold. Therefore, the survival of patients depends on whether the doctor is right or wrong in diagnosis. While the edges of object in magnetic resonance image (MRI) are important clues, which can make doctors know the problems. In real life, medical images often have low quality, so to find the object boundaries...
Algebraic phase unwrapping gives the exact expression of the unwrapped phase of a complex polynomial. However, in computation of a Sturm sequence, there exist numerical instabilities due to coefficient growth. In this paper, we refine algebraic phase unwrapping by modifying the Sturm sequence with the newly defined self-reciprocal polynomial division. The proposed refinement enables us to compute...
Reconstructing infinite-dimensional signals from a limited amount of linear measurements is a key problem in many applications such as medical imaging [35], single-pixel and lensless cameras [27], fluorescence microscopy [39] etc. Efficient techniques for such a problem include generalized sampling [6], [23], [31], [43] and its compressed versions [5], [27], as well as methods based on data assimilation...
In multi-scale low rank decomposition model, the data are assumed to be a sum of block-wise low rank matrices with different scales of block sizes. In many practical applications, data itself is not represented directly, yet in some transformation domain, e.g. the data acquired in the Fourier domain in context of magnetic resonance imaging (MRI). In this paper, we present a natural extension of the...
The paper is focused at evaluation of successfulness of de-noising of the speech signal recorded in the open-air magnetic resonance imager during phonation for the 3D human vocal tract modeling. Automatic evaluation methods based on classification by Gaussian mixture models (GMM) are described in more detail. The first performed experiments have confirmed that the proposed GMM classifier of the speech...
In this study, a novel brain image processing method is proposed to detect one of the most aggressive malignant primary brain tumors, the glioblastoma multiforme (GBM), using the minimum distance classifier (dGBM-MDC) for supporting clinical diagnosis system in anatomic sections of T1-weighted 3D magnetic resonance imaging (MRI). In the approach, we begin with the image conversion in the model of...
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