By J. Ge, S. J. Erickson, A. Godavarty (auth.), Anthony J. McGoron, Chen-Zhong Li, Wei-Chiang Lin (eds.)
This quantity offers the contributions of the 25th Southern Biomedical Engineering convention, held in might 2009 in Miami, Florida. The papers of this complaints quantity current new advancements in idea, idea, program, and methods in all aspects of Biomedical Engineering. The huge spectrum of issues contains: Optical Imaging, Instrumentation, Biomaterials-Mechanical, Rehabilitation, picture Processing, Orthopedics, Nanomaterials, Algorithms – Neural, Sensors, Tissue Engineering, indications and platforms, Cardiovascular structures, and Drug Delivery
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Additional resources for 25th Southern Biomedical Engineering Conference 2009, 15 – 17 May 2009, Miami, Florida, USA
Jiao S. et al. (2005) Simultaneous acquisition of sectional and fundus ophthalmic images with spectral-domain optical coherence tomography. Opt. Express. 13, 444-452. 4. Tsechpenakis G. et al. (2008), “Geometric Deformable Model Driven by CoCRFs: Application to Optical Coherence Tomography,” In Proc. 11th Int'l Conf. on Medical Image Computing and Computer Assisted Intervention, New York City, NY. Fig. 2 OCT image of the anterior segment of DBA2/J mouse model. Figure 3 displays an OCT image crossing the deep fovea of a Broad-winged hawk retina.
2006). Noninvasive volumetric imaging and morphometry of the rodent retina with high-speed, ultrahigh-resolution optical coherence tomography. IOVS 47, 5522-8. 2. Ruggeri M et al. (2007). In vivo three-dimensional high-resolution imaging of rodent retina with spectral-domain optical coherence tomography. IOVS 48, 1808-14. 3. Jiao S. et al. (2005) Simultaneous acquisition of sectional and fundus ophthalmic images with spectral-domain optical coherence tomography. Opt. Express. 13, 444-452. 4. Tsechpenakis G.
IV. CONCLUSIONS The SD-OCT system accomplished the goal of noninvasive, non-contact, in vivo imaging of small animal ocular structures with high imaging quality and short imaging time. The system is suitable for routine high throughput applications. The acquired 3D data provides means for precise comparison of the images acquired at different time, which makes possible longitudinal studies of ocular diseases. Development of algorithms for quantitative information extraction of ocular structures allows a better understanding of the disease progression and response to therapies.
25th Southern Biomedical Engineering Conference 2009, 15 – 17 May 2009, Miami, Florida, USA by J. Ge, S. J. Erickson, A. Godavarty (auth.), Anthony J. McGoron, Chen-Zhong Li, Wei-Chiang Lin (eds.)