Iron-platinum alloy nanoparticles (FePt NPs) are extremely promising candidates for the next generation of contrast agents for magnetic resonance (MR) diagnostic imaging and MR-guided interventions, including hyperthermic ablation of solid cancers. FePt has high Curie temperature, saturation magnetic moment, magneto-crystalline anisotropy, and chemical stability. We describe the synthesis and c...

Introduction Since their discovery polyhedral oligosilsesquioxanes (POSS) have found an ever increasing number of applications in material science, catalysis, as building blocks for dendrimers and only recently biomedical use (e.g. as drug carrier systems) were reported as well. In the last two years studies of silsesquioxane based contrast agents (CA) for MRI were published [1,2] in which the ...

Computational applications are gaining significant importance in the routine life. Specially, the tradition of the computer aided systems for computational biomedical applications has been explored to a higher extent. Detection of brain tumor is the most common fatality in the current scenario of health care civilization. Automated brain disorder analysis with MR images is one of the specific m...

Multifunctional manganese oxide nanoparticles (NPs) with impressive enhanced T₁ contrast ability show great promise in biomedical diagnosis. Herein, we developed a dual-modality imaging agent system based on polyethylene glycol (PEG)-coated manganese oxide NPs conjugated with organic dye (Cy7.5), which functions as a fluorescence imaging (FI) agent as well as a magnetic resonance imaging (MRI) ...

High-sensitivity nuclear magnetic resonance (NMR) of gaseous atoms realized by using a hyperpolarization technique is an attractive research tool used in a wide range of areas, such as physics, chemistry, material science and biomedical imaging. One of the most promising applications of this technology is the use as a noninvasive diagnostic tool for pulmonary diseases, where hyperpolarized (HP)...

Line and net patterns in a noisy environment exist in many biomedical images. Examples include: Blood vessels in angiography, white matter in brain MRI scans, and cell spindle fibers in confocal microscopic data. These piecewise linear patterns with a Gaussian-like profile can be differentiated from others by their distinctive shape characteristics. A shape-based modeling method is developed to...

Medical imaging is placing a major role in diagnosing the diseases and in image guided surgery. There are various imaging modalities for different applications giving the anatomical and physiological conditions of the patient. Magnetic Resonance Image (MRI) are used to analyze the human organs without surgery. Detection of the tumor is the main objective of the system. Detection plays a critica...

This manuscript tackles the registration of 2D biological images (histological sections or autoradiographs) to 2D images from the same or different modalities (e.g., histology or MRI). The process of acquiring these images typically induces composite transformations that can be modeled as a number of rigid or affine local transformations embedded in an elastic one. We propose a registration app...

In the dawning era of large-scale biomedical data, multidimensional phenotype vectors will play an increasing role in examining the genetic underpinnings of brain features, behaviour and disease. For example, shape measurements derived from brain MRI scans are multidimensional geometric descriptions of brain structure and provide an alternate class of phenotypes that remains largely unexplored ...

Biomedical images are used for capturing the diagnosis process and to examine present condition of organs or tissues. image processing concepts identical biomedical signal processing, which includes investigation, improvement, exhibition gathered using x-ray, ultrasound, MRI, etc. At same time, cervical cancer becomes a major reason increased women's mortality rate. But is an identified at earl...