Research Article

Adaptive Autoregressive Model for Reduction of Noise in SPECT

Table 3

Percentage contrast resolution values for the different methods.

MethodRelAct10 Ø20 Ø40 Ø60 Ø

A
AR-OSEM-AR018.456.374.684.2
BW-FBP028.767.283.191.6
OSEM-BW024.959.575.785.6

AR-OSEM-AR29.086.184.3103.5
BW-FBP216.775.586.697.2
OSEM-BW29.965.376.998.3

AR-OSEM-AR4136.5253.0270.4296.5
BW-FBP484.9229.2259.2289.1
OSEM-BW470.2204.1247.1300.0

B
AR-OSEM-AR021.558.076.184.8
BW-FBP020.461.683.291.8
OSEM-BW032.961.978.086.6

AR-OSEM-AR232.881.081.995.7
BW-FBP235.180.287.4102.7
OSEM-BW229.775.478.898.3

AR-OSEM-AR4132.8230.2269.8295.7
BW-FBP494.6236.9270.3316.2
OSEM-BW485.6224.6255.1308.5

C
AR-OSEM-AR024.055.975.085.5
BW-FBP032.968.783.093.0
OSEM-BW031.260.776.887.8

AR-OSEM-AR241.176.086.994.9
BW-FBP238.882.493.9103.6
OSEM-BW234.383.185.5100.6

AR-OSEM-AR4119.4237.1266.3297.7
BW-FBP4112.7248.5274.5318.2
OSEM-BW4108.1260.5261.0316.9

A: low count level; B: intermediate count level; C: high count level; AR-OSEM-AR: autoregressive filtering before and after ordered subset expectation maximisation algorithm; BW-FBP: Butterworth prefiltering and filtered back projection; OSEM-BW: ordered subset expectation maximisation algorithm and Butterworth postfiltering; RelAct: activity relative to background activity of 1; Ø: diameter.