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An in-depth analysis of data processing techniques for dosimetry in medical imaging, with a focus on dead-time correction and SPECT processing. The author, Matt Aldridge, discusses the impact of dead-time on imaging systems and methods to correct for it, as well as the importance of SPECT processing for attenuation and scatter correction. Key topics include system-specific dead-time models, high counting rates, and resolution modelling.
What you will learn
Typology: Schemes and Mind Maps
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Activity
Time
System-specific dead-time model and dead-time
constant determined by phantom experiments
using same window setting as used for patient
studies, as well as similar scattering conditions.
Dead-time correction at high counting rates
(131I imaging) – significant number of events
with energies outside the energy of the
photopeak window – contribute to camera
dead-time
Scatter in 131I – high-energy photons (637 and 723 keV)
Use TEW scatter correction (accounts for downscatter of high energy emissions)#
Patient imaging studies – scatter events in the photopeak window estimated by TEW are 40% - 50% of the total events
Ci,scat = (Ci,lower/Wlower + Ci,upper/Wupper) X Wmain/
AC only ACSC (^) ACSCRR
Segmentation process starts at the seed point. All neighbours within a specified square/cube are checked.
Seed point
Voxels that comply with threshold criterion are included in the organ/lesion VOI.
Automatic organ segmentation for:
Lungs
Liver
All bone cavities (bone marrow + spinal cord)
e.g. lung segmentation – click on point inside the lung in a CT slice –
will look for all points below -400HU (default lung threshold)
Processing
Reconstruction
Registration
Segmentation
Quantitation
SPECT/CT (1) SPECT/CT (2) SPECT/CT (t)
Injection parameters (^) System sensitivity (^) Residence timeActivity curves