Image RECONSTRUCTION & PROCESSING Flashcards
During a CT scan, numerous measurements of the transmission of X-rays through a patient are acquired at many angles
This is the basis for _____
reconstruction of the CT image.
are taken from a large number of angles and backprojected (d) yielding a strongly blurred image
Transmission profiles
Mathematics shows that simple backprojection is not
sufficient for accurate image reconstruction in CT..
Instead a ___ must be used ⚫It is the standard for image reconstruction in CT.
filtered backprojection
Solves number of simultaneous equations
Algebraic reconstruction
(statistical) reconstructions are sometimes used
• These are routinely used in nuclear medicine. • They are becoming available for commercial CT scanners
Iterative
Potential benefits of iterative reconstructions ⚫ the removal of streak artefacts (particularly when fewer projectionangles are used) ⚫ better performance in ____
low-dose CT acquisitions
is the most frequently applied
technique for CT reconstruction
Filtered backprojection
3 domains in filterrd backprojection
Object, Radon & Fourier space
The three domains associated with the technique of filtered backprojection are
a) __ (linear attenuation values).
b) ____ (projection values recorded under many angles) this domain is also referred to as sinogram space where Cartesian coordinate are used).
c) _____
which can be derived from object space by a 2D Fourier transform.
Object space
Radon space
Fourier space
theorem states that the 1D Fourier transform of the projection profile yields an angulated line in (Cartesian) Fourier space at the angle of the projection
Fourier slice
A 2D Radon transform
converts the object
space into __
space.
Radon
The creation of 2D Radon
space is carried out during a CT
scan: projections are recorded
and they are stored as ___
in 2D Radon space
raw data
Multi-slice or multi-row scanners enabled *
Thinner slicesLonger scan volumesFaster scan volumes
A typical acquisition with a single detector row scanner covered __mm.
5
Techniques for reconstruction include*
Simple backprojection
*Algebraic reconstruction
*Iterative reconstruction
*Filtered back projection