Title:Shyam Keshavmurthy
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NAME: Shyam Keshavmurthy
ADDRESS:
CITY: Belleville
STATE/PROVINCE: MI
ZIP/POSTAL CODE: 48111
COUNTRY: USA
EMAIL: ********@*****.***
PHONE: 313-***-****
CANDIDATE ID: N/A
CITIZENSHIP: US
Citizen
EDUCATION: Not Entered
EXPERIENCE: Not Entered
WILL RELOCATE: Not Entered
RELOCATION INFO: Not Entered
JOB WANTED: Not Entered
HOMEPAGE:
HOTSKILLS:
ESUME
Shyam P. Keshavmurthy
49211 I-94 S. Service Dr., #22
Belleville, MI 48111
********@*****.***
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Objective Summary of Qualifications Experience Education Publications
Objective
A challenging position in industry that utilizes my extensive
imaging/machine
vision experience and R & D capabilities, network/hardware/software
expertise. Also interested in R & D of PACS.
Summary of Qualifications
Imaging:
Experienced and adept in modeling and analysis of imaging system, and
design
and evaluation of x-ray detectors. Co-inventor of an imaging technique
that
improves DQE of limited fill-factor indirect AmFPIs. Working knowledge
of
tissue equivalent material selection and phantom construction. Six
years of
experience in designing and integrating PC based CCD imaging system,
electro-mechanical devices for automation and image acquisition
systems. Four
years experience in developing wavelet/Fourier domain based
image-processing
algorithms. Proficient in pattern-recognition, image
restoration/registration
techniques and computer aided diagnosis.
Computer Skills:
Experienced in integrating hardware/software components and networking
of
imaging and data acquisition systems in windows NT/95 and UNIX
environment.
Proficient in developing C/C++/FORTRAN image-processing algorithms.
Designed
and developed GUI based database system for archival and retrieval of
patient
records and stereo images using Visual C++/ACCESS. Tools: MCNP,
MATLAB,
LabView, Matrox inspector scripts and ANSYS.
Experience
Aug. 96 - present Department of Radiology
Research fellow University Of Michigan, Ann Arbor, MI
Modeling of digital radiography system
Research: A Computer simulation to optimize detectors for digital
radiography. This optimization is essential to determine detector
designs
and establish imaging conditions. This simulation can be employed to
compare
various detectors.
Method: A MCNP based Monte Carlo computer model simulates x-ray
transport
through compressed breasts,
anti-scatter grid and detector. The output of this model generates
critical
parameters like patient dose, signal-to-noise ratio for varying
direct/indirect detector materials, breast thickness, and source
spectra. A
figure of merit is used to achieve best quality mammogram with low
patient
dose. This model has been tested on CsI, Selenium, CdZnTe and
screen-film
system.
Digital-stereo mammography
Research: An imaging software to combine two digital mammograms(or any
images) to be viewed through Stereographics (3D) viewer on a PC. The
software
enables 3D visualization of calcification and spiculation distribution
in
biopsy samples, which helps diagnosis of malignancy instead of
manually
comparing two images obtained at specific angles.
Method: A C++ program is used to read any two digital
images(TIFF,DICOM,GIF).
Imaging angles and source parameters are optimized to obtain best
quality
mammograms using Fischer Biopsy Unit. This system is currently being
clinically tested.
Exposure equalization filter for mammography
Research: A new technique to improve detection of the breast cancer at
the
peripheral regions of the breast. The cancers in this region are
difficult
to perceive in the x-ray image as the film is dark near the edge of
the
breast and shows less contrast in this region.
Method: The technique reduces x-ray exposures in the periphery through
customized x-ray beam filter. A software program designed few external
equalization filters, based on classification of breast shapes
obtained from
1000 digitized mammograms. A PC based video imaging system (Matrox
Inspector)
is used to image compressed breasts and obtains breast boundary. An
image
processing algorithm automatically selects filter for a given breast
shape.
This system has been tested on breast phantoms. A computer simulation
has
been developed to evaluate this technique and a sensitivity analysis
on 400
digitized mammograms has shown that this method is effective in
equalizing
exposures.
High resolution indirect flat panel detector fill-factor improvement
Research: Current flat panel detectors are able to achieve fill
factors only
up to 60%, there by reducing the amount of x-ray quanta detected on a
screen.
With reduction in pixel size, high fill factors become essential to
achieve
reasonable DQE. This high DQE at higher frequencies are necessary in
many
applications like mammography. A new technique has been invented to
improve
the fill-factors.
Method: The technique utilizes arrays of micro-lens that focuses light
from
the x-ray converter screen on to the active area of high-resolution
pixels.
Thus, improving DQE of detectors with pixel size close to 50 microns.
Feb. 94
- Aug., 96Department of Nuclear Engineering SciencesResearch Assistant
University of Florida, Gainesville, FL
Lateral Migration Backscatter Radiography (LMBR
)
Research: Develop an imaging technique that allows detection of buried
objects under cluttered surroundings. This system is capable of
detecting
plastic, metal and other landmines buried at a depth of 4 inches and
also the
type of landmine.
Method: This technique utilizes both single and multiple scatter x-ray
photons to generate two separate images, one
containing primarily surface features and the other containing
primarily
subsurface objects. A LMBR imaging system consisting of a high-speed
ground
scanning x-ray source, detector system and the associated image
processing
algorithms was then used to detect and identify landmines in a
cluttered
surrounding.
Image Processing Algorithms
Research: To detect landmines from low-resolution LMBR images that
contain
both surface clutter and landmine signals.
Method: Developed a fast photon collision model based image
restoration
algorithm in C to identify mine like objects in LMBR images. Developed
a
multi-resolution based algorithm in MATLAB that uses auto-correlation
of
wavelets to generate sub-pixel information from an undersampled
landmine
image.
Aug. 92
- Feb. 94Innovative Nuclear Space Power & Propulsion
Institute
Research Assistant
University of Florida, Gainesville, FL
As a member of the design team, worked on the structural design and
thermal
analysis of nuclear vapor thermal rocket (NVTR) fuel using ANSYS FEA
and
shape optimization(MATLAB).
Aug. 88
- July 92Nuclear power Corporation of India LtdSenior Engineer
Bombay, India
Project Coordinator and lead Engineer
for fuel and safety division
Lead and managed a group of Engineers and Technicians in the
division.
Coordinated the design, development of Prototype fuel assemblies
for the 500 Mwe pressurized heavy water reactor and developed
manufacturing
specifications for the same. Also, coordinated R & D budget activities
in
the division.
Developed innovative methods for testing prototype core components
of the 500 Mwe pressurized heavy water reactor.
Applied FEA programs (ANSYS, SAP) for qualifying structural and core
components of the 500 Mwe pressurized heavy water reactor.
Sept 87
- Aug 88Bhabha Atomic Research CenterTrainee Engineer
Bombay, India
Trained as reactor/turbine engineer for Rajasthan atomic power
station.
Feb 87
- Aug. 87Indian Institute of ScienceResearch Assistant
Bangalore, India
Developed a FEA Program for studying plastic deformation of Al-Si
alloys used
in automobile pistons.
Education
Ph.D
., Nuclear Engineering/Computer and Information Sciences(minor),
University of Florida,
1994-96
Dissertation: Development of lateral migration backscatter
radiography(LMBR)
system and associated image enhancement algorithms.
M.E
., Nuclear Engineering, University of Florida, 1992-93
Thesis: Design and thermo-mechanical analysis of fuel for nuclear
vapor
thermal rocket
B.E
., Mechanical Engineering, Mysore University, India, 1982-87.
Affiliations
Member of SPIE (International Society of Photo-optical Engineers)
Member of AAPM (American Association of Physicists in Medicine)