Intro to Subsurface Sensing and Imaging Systems Export

@misc{citeulike:1922873, abstract = {Engineers are often faced with the problem of sensing and imaging objects that are hidden under a surface. For example, detecting tumors using laser scanning microscopy, locating underground mines using radio waves, imaging infants using ultrasound, detecting cracks in machine parts and bridges, and medical imaging by xray radiography, magnetic resonance imaging (MRI), and computer assisted tomography (CAT). This course will introduce the student to the basics of subsurface sensing and imaging: •Properties of probes such as optical beams, x-rays, ultrasonic waves, and electromagnetic waves. •How the probes interact with media – transmission, reflection, scattering, diffusion •Sensors for detecting subsurface signals •Extracting information from subsurface signals using multi-view tomography (MVT), Localized probing and mosaicing (LPM), and multi-spectral discrimination (MSD).}, author = {Thomenius, Kai E.}, citeulike-article-id = {1922873}, citeulike-linkout-0 = {http://www.ecse.rpi.edu/censsis/SSI-Course/Spring.2007/}, keywords = {bioimaging, biomedical, matlab}, posted-at = {2007-11-15 15:36:36}, priority = {5}, title = {Intro to Subsurface Sensing and Imaging Systems}, url = {http://www.ecse.rpi.edu/censsis/SSI-Course/Spring.2007/}, year = {2007} }

TY - GEN ID - citeulike:1922873 L3 - citeulike-article-id:1922873 N2 - Engineers are often faced with the problem of sensing and imaging objects that are hidden under a surface. For example, detecting tumors using laser scanning microscopy, locating underground mines using radio waves, imaging infants using ultrasound, detecting cracks in machine parts and bridges, and medical imaging by xray radiography, magnetic resonance imaging (MRI), and computer assisted tomography (CAT). This course will introduce the student to the basics of subsurface sensing and imaging: •Properties of probes such as optical beams, x-rays, ultrasonic waves, and electromagnetic waves. •How the probes interact with media – transmission, reflection, scattering, diffusion •Sensors for detecting subsurface signals •Extracting information from subsurface signals using multi-view tomography (MVT), Localized probing and mosaicing (LPM), and multi-spectral discrimination (MSD). TI - Intro to Subsurface Sensing and Imaging Systems KW - bioimaging KW - biomedical KW - matlab AU - Thomenius, Kai PY - 2007/// UR - http://www.ecse.rpi.edu/censsis/SSI-Course/Spring.2007/ ER -