The clinical data including clinical test results, MRI images and drug responses of patients are documented and analyzed with machine learning and data mining tools. The scale and complexity of these datasets is a big challenge to machine learning and data mining community as the data is of mixed type. The extraction of meaningful or desired information from these datasets provides knowledge in...

Magnetic resonance imaging (MRI)-active polymers exhibit unique advantages for in vivo diagnosis. Here, order to endow electrospun fibers with long-term T1 positive MRI visibility, contrast agent (CA), Gd(OH)3, is introduced a new, extremely convenient method. Crucially, GdCl3 reacted NaOH situ during electrospinning, flexibility deliver both well-dispersed and aggregated Gd(OH)3 clusters withi...

1University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA 2Radiopharmaceuticals Production and Marketing Center, Institute of Nuclear Energy Research, Atomic Energy Council, Taoyuan 32546, Taiwan 3Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan 4Small Animal MRI, Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel H...

The main aim is Image Enhancement of BioMedical MRI Images Using Morphology technique. There are basically four operations in Morphology technique: Dilation, Erosion, Opening an Image and closing an Image. Basically I am going to use Dilation and erosion operations of the Morphology Technique for Image Enhancement. Previously I used Histogram Technique for enhancing image clarity; I collected V...

Introduction Magnetic oxide nanomaterials, including iron oxide (Fe3O4 and γ-Fe2O3), spinel ferrites (MFe2O4; M=Mn, Zn, Cr, Ni, or Co) and hexagonal ferrite (MFe12O19, M=Ba and Sr) are attracting much attention due to their wide application potentials in advanced magnets, electronic devices, information storage, magnetic resonance imaging (MRI), and drug-delivery technology [1-6]. Hence, the sy...

Image segmentation on surgical images plays a vital role in diagnosing and analyzing the anatomy of human body. The area of image segmentation has made an extensive ideology for classifying biomedical images. One such application for segmenting and classifying MRI brain images using fuzzy based control theory is proposed in this project. A special technique called FIS is used in brain image seg...

Y. Meng, Z. Zhang, H. Gu, X. Lv, J. Zhang, J. Fang, B. Qiu, and X. Yang Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, Beijing, China, People's Republic of, Radiology, University of Washington, Seattle, WA, United States, MRI Research Team, MR Modality, GE Healthcare China, Beijing, Beijing, China, People's Republic of, Biomedical Engineering, Peking University, Beijin...

Send this abstract to [email protected] 1 In utero irradiation-induced alterations in the mouse brain characterised by 3D T2weighted MRI Tine Verreet, Janaki Raman Rangarajan, Uwe Himmelreich, Frederik Maes, Roel Quintens, Mieke Verslegers, Sarah Baatout, Lieve Moons, Mohammed Abderrafi Benotmane [email protected] Laboratory of Molecular and Cellular Biology, Belgian Nuclear Research Centre,...

Nanomanufacturing of nanoparticles is critical for potential translation and commercialization. Continuous flow devices can alleviate this need through unceasing production of nanoparticles. Here we demonstrate the scaled-up production of spherical nanoparticles functionalized with biomedical cargos from the rod-shaped plant virus tobacco mosaic virus (TMV) using a mesofluidic, continued flow m...

Figure 3 Displacement fields generated by the post processing correction in the z (a), x (b), and y (c) directions. Insert show CT and MRI alignment before and after registraion Figure 1 Phantom schematic: a) grid section, b) chamber, c) chamber cap, d) s-bend to trap air bubbles, e) filling cap, f) isocentre marker 7437 Is your system calibrated? MRI gradient system calibration for pre-clinica...