25-08-2017, 09:32 PM
MEDICAL IMAGE PROCESSING
[attachment=60150]
Medical Imaging
Imaging technology in Medicine made the
doctors to see the interior portions of the body
for easy diagnosis. It also helped doctors to
make keyhole surgeries for reaching the
interior parts without really opening too much
of the body. CT Scanner, Ultrasound and
Magnetic Resonance Imaging took over x-ray
imaging by making the doctors to look at the
body's elusive third dimension. With the CT
Scanner, body's interior can be bared with
ease and the diseased areas can be identified
without causing either discomfort or pain to
the patient. MRI picks up signals from the
body's magnetic particles spinning to its
magnetic tune and with the help of its
powerful computer, converts scanner data into
revealing pictures of internal organs. Image
Processing
techniques
developed
for
analyzing remote sensing data may be
modified to analyze the outputs of medical
imaging systems to get best advantage to
analyze symptoms of the patients with ease.
Stereo Endoscope
Two cameras are mounted on a single
laproscope. Images from the cameras are
transmitted alternately to a video monitor.
Few types of display techniques are used to
realise stereo images from two-dimensional
images recorded from the above cameras. As
the cameras transmits images at 60-120
cycles per second a three-dimensional, real
time image is perceived. As the images are
transmitted at a high frequency,
Associated Problems With X-Ray Imaging
X-ray films have large dynamic range to
accommodate maximum possible details of X-
ray image (as shown in Fig.2). Details in the
darker portion and brighter portion get
saturated and are not possible to interpret
easily. X-ray images can be converted into
digital form using X-ray flouroscopy technique
or by digitising X-ray film using scanners. By
applying Image Processing techniques, the
digital images can be manipulated for easy
interpretation.
Using these techniques,
additional X-ray exposures can be reduced to
the patient.
Corneal Image Analyzer
Corneal Image Analyzer (CIA) is software
developed at NRSA for analyzing Endothelial
images of cornea. The corneal image consists
of a set of hexagonal shaped cells of different
sizes. The aim of this software is to compute
the statistics of the cornea endothelial such as
the cell density, minimum, maximum & mean
cell sizes, their standard deviation, co-
variance etc. This data is useful for various
studies such as dystrophy and degeneration,
intraocular
lens
implantation,
corneal
transplantation, drug toxicity, glaucoma, etc.
[attachment=60150]
Medical Imaging
Imaging technology in Medicine made the
doctors to see the interior portions of the body
for easy diagnosis. It also helped doctors to
make keyhole surgeries for reaching the
interior parts without really opening too much
of the body. CT Scanner, Ultrasound and
Magnetic Resonance Imaging took over x-ray
imaging by making the doctors to look at the
body's elusive third dimension. With the CT
Scanner, body's interior can be bared with
ease and the diseased areas can be identified
without causing either discomfort or pain to
the patient. MRI picks up signals from the
body's magnetic particles spinning to its
magnetic tune and with the help of its
powerful computer, converts scanner data into
revealing pictures of internal organs. Image
Processing
techniques
developed
for
analyzing remote sensing data may be
modified to analyze the outputs of medical
imaging systems to get best advantage to
analyze symptoms of the patients with ease.
Stereo Endoscope
Two cameras are mounted on a single
laproscope. Images from the cameras are
transmitted alternately to a video monitor.
Few types of display techniques are used to
realise stereo images from two-dimensional
images recorded from the above cameras. As
the cameras transmits images at 60-120
cycles per second a three-dimensional, real
time image is perceived. As the images are
transmitted at a high frequency,
Associated Problems With X-Ray Imaging
X-ray films have large dynamic range to
accommodate maximum possible details of X-
ray image (as shown in Fig.2). Details in the
darker portion and brighter portion get
saturated and are not possible to interpret
easily. X-ray images can be converted into
digital form using X-ray flouroscopy technique
or by digitising X-ray film using scanners. By
applying Image Processing techniques, the
digital images can be manipulated for easy
interpretation.
Using these techniques,
additional X-ray exposures can be reduced to
the patient.
Corneal Image Analyzer
Corneal Image Analyzer (CIA) is software
developed at NRSA for analyzing Endothelial
images of cornea. The corneal image consists
of a set of hexagonal shaped cells of different
sizes. The aim of this software is to compute
the statistics of the cornea endothelial such as
the cell density, minimum, maximum & mean
cell sizes, their standard deviation, co-
variance etc. This data is useful for various
studies such as dystrophy and degeneration,
intraocular
lens
implantation,
corneal
transplantation, drug toxicity, glaucoma, etc.