Speech production has always been a subject of interest both at the morphological and acoustic levels. This knowledge is useful for a better understanding of all the involved mechanisms and for the construction of articulatory models. Magnetic resonance imaging (MRI) is a powerful technique that allows the study of the whole vocal tract, with good soft tissue contrast and resolution, and permit...

Magnetic resonance imaging (MRI) is a widely used biomedical imaging modality that derives much of its contrast from microscale magnetic field gradients in biological tissues. However, the connection between these sub-voxel field patterns and MRI contrast has not been studied experimentally. Here, we describe a new method to map subcellular magnetic fields in mammalian cells and tissues using n...

Biomedical image processing acts as an essential part of several medical applications in supporting computer aided disease diagnosis. Magnetic Resonance Image (MRI) is a commonly utilized imaging tool used to save glioma for clinical examination. segmentation plays vital role healthcare decision making process which also helps identify the affected regions MRI. Though numerous models are availa...

László G. Boros*, Natalie J. Serkova, Marta S. Cascante, Wai-Nang Paul Lee SIDMAP, LLC and Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, 10021 Cheviot Drive, Los Angeles, CA 90064, USA Biomedical MRI/MRS, Department of Anesthesiology, University of Colorado Health Science Center, Denver, CO 80262, USA Department of Biochemistry and Molecular Biology (IDIBAPS), Univers...

Emerging materials and methods in biomedical imaging and biophotonics are improving patient outcomes. More specifi cally, the utilization of biomedical diagnostics and therapeutic advances in methods such as magnetic resonance imaging (MRI), computed tomography (CT) imaging, photoacoustic tomography, photothermal optical coherence tomography, and targeted photothermal therapy (PTT) have been sh...

Automated Arterial Input Function Detection in Ascending Aorta for Breast DCE-MRI Venkata Veerendranadh Chebrolu, Dattesh D Shanbhag, Sheshadri Thiruvenkadam, Sandeep Kaushik, Uday Patil, Patrice Hervo, Sandeep N Gupta, and Rakesh Mullick Medical Image Analysis Lab, GE Global Research, Bangalore, Karnataka, India, GE Healthcare, Buc, France, Biomedical Image Processing Lab, GE Global Research, ...

Cross-linked magnetic nanoparticles were developed to improve the structural stability of amphiphilic polymer coated magnetic nanoparticles. These nanoparticles show strong potential for biomedical applications such as magnetic resonance imaging (MRI).

The quality of biomedical image is degraded by many sources of noise such as imperfect instruments, interference from natural phenomena and data acquisition errors. In Ultrasound and MRI images, the image quality is degraded mainly by Speckle noise and Rician noise respectively. Removing noise from biomedical image is still a challenging problem for the biomedical researchers and lots of denois...

Recent progress in imaging technologies leads to a continuous growth in biomedical data, which can provide better insight into important clinical and biological questions. Advanced machine learning techniques, such as artificial neural networks are brought to bear on addressing fundamental medical image computing challenges such as segmentation, classification and reconstruction, required for m...

Recent progress in imaging technologies leads to a continuous growth in biomedical data, which can provide better insight into important clinical and biological questions. Advanced machine learning techniques, such as artificial neural networks are brought to bear on addressing fundamental medical image computing challenges such as segmentation, classification and reconstruction, required for m...