Download - IMAGE PROCESSING - MATHANKUMAR.S - VMKVEC
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Image is an Artifact that reproduce the likeness of some subjects usually a physical object.
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Images are pictures! A picture that represents visual information. Used to save visual experiences. A picture is worth a 1000 words…I
think more!!!
How are non-digital images stored? Photographic film Canvas/paint Digitally
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Imaging is the process of acquiring images.
Shorthand for image acquisition.
Process of sensing our surroundings and then representing the measurements that are made in the form of an image.
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Passive imaging – employs energy sources that are already present in the scene.
Active imaging – involves use of artificial energy sources to probe our surroundings.
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Passive imaging is subject to the limitations of existing energy sources.
Passive Imaging
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Active imaging is not restrictive in this way but is invariably a more complicated & expensive procedure.
Active imaging predominates in medical field, where precise control over radiations sources is essential.
Active imaging is also an important tool in remote sensing.
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Active Imaging
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DICOM - Digital Imaging and Communications in Medicine
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User Consortia (e.g., HL7)
Organizations (e.g., NEMA, IEEE)
US Government Agencies (e.g., ANSI, NIST)
Foreign Government Agencies (e.g., CEN)
United Nations (e.g., ISO, CCITT)
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The name was changed to separate the standard from the originating body
1991 - Release of Parts 1 and 8 of DICOM
1992 - RSNA demonstration, Part 8
1993 - DICOM Parts 1-9 approved, RSNA demonstration of ALL parts
1994 - Part 10: Media Storage and File Format
1995 - Parts 11,12, and 13 plus Supplements
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MAGN
ETOM
Information Management System
Storage, Query/Retrieve,
Study Component
Query/Retrieve, Patient & Study Management
Query/Retrieve
Results Management
Print Management
Media Exchange
LiteBox
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SOP
Data Dictionary
Real-World Object
Information Object DIMSE Service Group
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Composite Verification
Storage
Query/Retrieve
Study Content Notification
Normalized Patient Management
Study Management
Results Management
Basic Print Management
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Joint CEN-DICOM development
Medicom = DICOM
MIPS 95 work is underway with JIRA
IS&C Harmonization is also in progress
HL7 Harmonization continuing interest
New DICOM organization Companies: NEMA and non-NEMA
ACR, ACC, CAP, ...
individuals
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Networking is a critical component of all
medical imaging systems
Support for Open Communication Standards is a
MUST
DICOM is here, NOW
DICOM products exist on the market
DICOM is emerging as THE common protocol for
medical image communication - WORLD WIDE!
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Images stored in digital form!
Many ways of acquiring images
Scanner
Digital Camera
Others…
Many ways of storing images
Gif
Tiff
BMP
JPG
Others…
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JPEG (Joint Photographic Experts Group)
GIF (Graphic Interchange Format)
PNG (Portable Network Graphics)
TIFF (Tagged Image File Format)
PGM (Portable Gray Map)
FITS (Flexible Image Transport System)
BMP (Bitmap Format)
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JPEG - Joint Photographic Experts Group JPEG is designed with photographs in mind.
It is capable of handling all of the colors needed. JPEGs have a lossy way of compressing images.
At a low compression value, this is largely not noticeable, but at high compression, an image can become blurry and messy.
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JPEG cautions: • Images with hard edges, high contrasts, angular areas, and
text suffer from JPEG compression. • Scanned “natural” photographs do not lose much,
especially at High or Maximum quality. • Only save finished images as JPEGs, every time you open
and save again, even if you don’t edit, you lose quality. • Always keep the original non-JPEG version (the native .psd
format).
So why use JPEG? • It is the best format for photographic images on the Web. • It’s compression ability is very great.
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GIF - Graphics Interchange Format
GIF is the most popular on the Internet, mainly because of its small file size. It is ideal for small navigational icons and simple diagrams and illustrations where accuracy is required, or graphics with large blocks of a single color. The format is loss-less, meaning it does not get blurry or messy.
The 256 color maximum is sometimes tight, and so it has the option to dither, which means create the needed color by mixing two or more available colors.
GIF use a simple technique called LZW compression to reduce the file sizes of images by finding repeated patterns, but this compression never degrades the image quality.
.GIF
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The GIF format is one of the most commonly used graphic file formats, especially on the Internet.
The GIF format is exceedingly useful in that it can contain animations. Its internal structure is such that it can store multiple images and the controls to make them appear as real time animation animated GIF.
The GIF format also allows a special color as to be specified as "using the background." This results in the image looks like transparent transparent GIF.
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Portable Network Graphic (PNG) which is pronounced as “Ping”.
Alternative to GIF, a lossless compression scheme is used.
Support three image type: true color, grayscale, palette-based (8-bit). JPEG supports the first 2.
GIF supports the 3rd one.
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Advantages Better Compression
○ Deflate is an improved version of the Lempel-Ziv compression algorithm.
Improve Interlacing ○ Display image quicker than Interlaced GIF.
True Color and Transparency ○ Support 16-bit (Grey scale) or 48-bit (True Color)
○ 16-bit for alpha channel (Transparency).
Gamma storage ○ Store the gamma setting of the platform of the creator.
Disadvantages Not support by old browsers (Netscape 2,3,4 and IE 2,3,4)
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TIFF - Tagged Image File Format
Widely used cross platform file format also designed for printing.
A bitmap image format.
TIFF supports lossless LZW compression which also makes it a
good archive format for Photoshop documents.
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A popular format for grayscale images (8 bits/pixel)
Closely-related formats are: PBM (Portable Bitmap), for binary images (1 bit/pixel)
PPM (Portable Pixelmap), for color images (24 bits/pixel)
- ASCII or binary (raw) storage
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FITS - Flexible Image Transport System
Format of a FITS file (http://fits.gsfc.nasa.gov)
Primary Header: metadata describing instrument, observation & file contents
Primary Data Array: array of 0-999 dimensions – usually a 2D image
+ none or more Extensions:
Array, ASCII Table or Binary Table, each with Header
(New FITS-inspired XML format – VOTable)
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BMP - Bitmap Format
uses a pixel map which contains line by line information.
It is a very common format, as it got its start in Windows.
This format can cause an image to be super large.
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Image Processing is any form of signal processing for which our input is an image, such as photographs or frames of video and our output can be either an image or a set of characteristics or parameters related to the image.
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Image Processing generally refers to processing of two dimensional picture and by two dimensional picture we implies a digital image.
A digital image is an array of real or complex numbers represented by a finite number of bits.
But now in these days optical and analog image processing is also possible.
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Is enhancing an image or extracting information or features from an image.
Computerized routines for information extraction (eg, pattern recognition, classification) from remotely sensed images to obtain categories of information about specific features.
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Image processing are of two aspects..
improving the visual appearance of images to a human viewer
preparing images for measurement of the features and structures present.
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❶ Acquisition of Image
Medical image data is acquired one slice at a time.
Resulting data set comprises n slices, each containing w x h pixels.
Basic Steps for Image Processing
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❷ Data Storage
Array starts with the first row of the first slice and so on until the end of the first slice.
Next, the array continues with the first row of the second slice, then the second row of the second slice, and so on.
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A single slice corresponds to a k space plane acquired in real-time
The “K-Space” undergoes an Inverse Fourier Transform.
Following this mathematical step, we finally have an image
❸ Image Formation
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❹ Data Visualisation
Medical image data is commonly visualised by two
methods.
Reslicing
Surface rendering
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Since the digital image is “invisible” it must be prepared for viewing on one or more output device (laser printer, monitor, etc.,)
It might be possible to analyze the image in the computer and provide cues to the radiologists to help detect important/suspicious structures (e.g.: Computed Aided Diagnosis, CAD)
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Why do we need Image Processing
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Image processing can be done using various software's and languages such as:-
Language
VHDL
C/C++
Software
Matlab
Adobe Photoshop
Irfan view
How Image Processing is done?
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Early 1920’s: One of the first applications of digital imaging was in the newspaper industry
The Bartlane cable picture transmission service
Images were transferred by submarine cable between London and New York
Pictures were coded for cable transfer and reconstructed at the receiving end on a telegraph printer
Early digital image
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Mid to late 1920’s: Improvements to the Bartlane system resulted in higher quality images
Improved
digital image Early 15 tone digital
image
New reproduction processes based on photographic techniques
Increased number of tones in reproduced images
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1960’s: Improvements in computing technology and the onset of the space race led to a surge of work in digital image processing
A picture of the moon taken
by the Ranger 7 probe
minutes before landing
1964: Computers used to improve the quality of images of the moon taken by the Ranger 7 probe
Such techniques were used in other space missions including the Apollo landings
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1970’s: Digital image processing begins to be used in medical applications
Typical head slice CAT
image
1979: Sir Godfrey N. Hounsfield & Prof. Allan M. Cormack share the Nobel Prize in medicine for the invention of tomography, the technology behind Computerised Axial Tomography (CAT) scans
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1980’s - Today: The use of digital image processing techniques has exploded and they are now used for all kinds of tasks in all kinds of areas
Image enhancement/restoration
Artistic effects
Medical visualisation
Industrial inspection
Law enforcement
Human computer interfaces
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Face detection
Feature detection
Non-photorealistic rendering
Medical image processing
Microscope image processing
Morphological image processing
Remote sensing
Automated Sieving Procedures
Finger print recognization
Applications
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Primary purpose is to identify pathologic conditions.
Requires recognition of normal anatomy and physiology.
Create image of body part
Disease Monitoring
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Medical imaging is the technique and process used to create images of the human body or it’s parts for clinical purposes .
Non-invasive visualization of internal organs, tissue, etc.
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Medical imaging has come a long way since 1895
when Röntgen first described a ‘new kind of ray’.
That X-rays could be used to display anatomical
features on a photographic plate was of immediate
interest to the medical community at the time.
Today a scan can refer to any one of a number of
medical-imaging techniques used for diagnosis and
treatment.
Medical Imaging using Ionising Radiations
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The transmission and detection of X-rays still lies at the heart of
radiography, angiography, fluoroscopy and conventional
mammography examinations.
However, traditional film-based scanners are gradually being
replaced by digital systems
The end result is the data can be viewed, moved and stored without
a single piece of film ever being exposed.
Digital Systems
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Projection X-ray (Radiography)
Ultrasound
X-ray Computed Tomography (CT)
Magnetic Resonance Imaging(MRI)
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Imaging Modalities
Imaging for medical purposes involves the services of radiologists, radiographers, medical physicists and biomedical engineers working together as a team for maximum output. This ensures the production of high quality of radiological service with consequent improvement of health care service delivery.
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Technological advances have made human imaging possible at scales from a single molecule to the whole body.
By linking the anatomical data collected with emerging imaging technologies to computer simulations, researchers now can form truly functional images of individual patients.
These images will allow physicians not only to see what a patient’s organs look like but also how they are functioning even at the smallest dimensions.
A major challenge is how to store, analyze, distribute, understand and use the enormous amount of data associated with thousands of images.
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Biomedical engineering stands at the forefront of this effort because its researchers are able to integrate the engineering tools needed to solve the technological problems of image analysis with the deeper knowledge of the underlying biological mechanisms.
Already, members of the Department of Biomedical Engineering, in close collaboration with the Departments of Applied Mathematics and Statistics, Computer Science, Electrical and Computer Engineering, and Radiology, have pioneered the use of imaging technology in computational anatomy, neuropsychiatry, computer-integrated surgery and cardiac procedures.
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Now, researchers are expanding their imaging efforts into other modalities and organ systems.
Ultimately, their work will contribute to advancing image-guided therapy and to the early diagnosis and treatment of a host of disorders, including heart disease and brain dysfunction.
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Research - Biomedical Imaging
New developments in biomedical imaging provide a window
into complex biological phenomena.
Imaging enables researchers to track the movements of molecules, cells, fluids, gases, or sometimes even whole organisms.
Imaging techniques such as x-ray crystallography and magnetic resonance imaging can also yield information about important biological structures from single proteins to the human brain.
The frontiers of biomedical imaging promise to make diagnosis of disease more accurate and less invasive, and to improve our understanding of disease.
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Imaging research encompasses Imaging of protein complexes involved in synaptic communication in the
brain
Fluorescence tagging of molecules involved in intracellular signalling networks
Non-invasive imaging of cancer
Imaging of human movement using dynamic MR, motion capture systems, and ultrasonic imaging
Molecular and biochemical imaging with PET, SPECT, and optical imaging
Three-dimensional medical imaging of blood flow, blood vessels, and cardiovascular lesions
Functional human brain mapping
Strategies for fusing images across modalities (e.g., CT and MR)
Ultrasonic diagnostic technology in medicine
Computational analysis and reconstruction of complex imaging data
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