Introduction To discriminate between the vessel wall layers and plaque constituents in atherosclerosis, the image pixel size must be decreased to less than half a millimeter as the artery wall and fibrous cap thicknesses are very small (e.g. a fraction of a millimeter). For this purpose, researchers have introduced different types of intravascular loop and loopless coils, of which the single-he...

Vocal tract magnetic resonance imaging (MRI) has become one of the preferred imaging modalities for the analysis of human speech production. However, the raw image data must be segmented before further analysis can take place. This paper describes a hybrid approach to extract a 3D tongue model from 3D or 2D MRI scans of the vocal tract during speech, which combines unsupervised image segmentati...

Magnetic Resonance Imaging (MRI) established itself as a key imaging modality in diagnosis and treatment of brain tumors. Automatic segmentation of tumors becomes a tedious task due to complex anatomical brain structure. In addition, presence of noise degrades the quality of MRI scans. MRI images are usually corrupted by Rician noise which would mislead the image analysis algorithms and results...

Dynamic magnetic resonance imaging (MRI) refers to the repeated acquisition of image data to monitor changes in tissue structure over time. In this paper we present a method for the efficient acquisition of dynamic MRI sequences based on two complimentary strategies: an adaptive framework for the estimation of the MRI images themselves and a method to dynamically adapt the MRI system excitation...

Magnetic resonance imaging (MRI) scanners have recently been used for magnetic actuation of robots minimally invasive medical operations. Due to MRI's high soft-tissue selectivity, it is possible obtain 3D images hard-to-reach cavities in the human body, where wireless miniature powered by MRI could be employed high-precision targeted operations, such as drug delivery, stem cell therapy, and hy...

breast cancer continues to be a significant public health problem in the world. early detection is the key for improving breast cancer prognosis. in this way, magnetic resonance imaging (mri) is emerging as a powerful tool for the detection of breast cancer. breast mri presently has two major challenges. first, its specificity is relatively poor, and it detects many false positives (fps). secon...

We automate the manipulation of genomic-length DNA in a nanofluidic device based on real-time analysis of fluorescence images. In our protocol, individual molecules are picked from a microchannel and stretched with pN forces using pressure driven flows. The millimeter-long DNA fragments free flowing in micro- and nanofluidics emit low fluorescence and change shape, thus challenging the image an...

Background: Nowadays, image de-noising plays a very important role in medical analysis applications and pre-processing step. Many filters were designed for image processing, assuming a specific noise distribution, so the images which are acquired by different medical imaging modalities must be out of the noise. Objectives: This study has focused on the sequence filters which are selected ...