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= Excerpt from Prof. Bouman's Lecture = | = Excerpt from Prof. Bouman's Lecture = | ||
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=Accompanying Lecture Notes= | =Accompanying Lecture Notes= | ||
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In this set of notes, we will cover the basics of the physical design of CT scanners and derive the differential equation needed for the inversion process using convolution back projection. | In this set of notes, we will cover the basics of the physical design of CT scanners and derive the differential equation needed for the inversion process using convolution back projection. | ||
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[[Image:CT_fig2.jpeg|400px|thumb|left|Multislice helical scan CT]] | [[Image:CT_fig2.jpeg|400px|thumb|left|Multislice helical scan CT]] | ||
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+ | =Photon Attenuation= | ||
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+ | During a CT scan, the X-ray source emits photons that travel in a straight line towards the detectors. With each increment of distance traveled, there is a probability that a photon is either absorbed or able to reach the detector array. This is of course an approximation. When we say that a photon is absorbed, what we really mean is that it is scattered. When a photon collides with a particle, its direction changes and its wavelength increases. It is assumed that the resulting energy loss is large enough so that the detector array is no longer sensitive to it. These scattered photons eventually turn into heat that is absorbed by its surroundings. | ||
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+ | So under these assumptions, a photon that emerges from the source either stops or goes on its way to the detector array without hindrance. |
Revision as of 20:02, 6 May 2013
The Bouman Lectures on Image Processing
A sLecture by Maliha Hossain
Subtopic 2: Computed Tomography (CT)
© 2013
Contents
Excerpt from Prof. Bouman's Lecture
Accompanying Lecture Notes
Computed Tomography or CT is an imaging technique that uses an X-ray source and an array of detectors to produce tomographic images of an object. CT is commonly used in medical imaging for diagnosis. It also has applications in industry for imaging internal and external components. CT is also used in airport security.
In this set of notes, we will cover the basics of the physical design of CT scanners and derive the differential equation needed for the inversion process using convolution back projection.
Physical Design
Figure 1 shows a CT scanner for medical imaging. The patient lies down on the bed which is then translated through the scanner. The gantry is equipped with an X-ray source across from a detector array behind a fiberglass cover. The rays have a cone-beam structure. Figure 2 shows the orientation of the source and the detector array relative to the object being scanned. As the bed passes the rotating gantry, multiple data scans are collected and processed in real time. The path traced by the gantry relative to the patient is helical, hence the term helical multislice scan CT.
Photon Attenuation
During a CT scan, the X-ray source emits photons that travel in a straight line towards the detectors. With each increment of distance traveled, there is a probability that a photon is either absorbed or able to reach the detector array. This is of course an approximation. When we say that a photon is absorbed, what we really mean is that it is scattered. When a photon collides with a particle, its direction changes and its wavelength increases. It is assumed that the resulting energy loss is large enough so that the detector array is no longer sensitive to it. These scattered photons eventually turn into heat that is absorbed by its surroundings.
So under these assumptions, a photon that emerges from the source either stops or goes on its way to the detector array without hindrance.