WHICH THE BEST ALGORITHM FOR SPECT IMAGE

[akmal871026]

Dear villekf/OMEGA,

For SPECT images, which one of the best algorithm can be applied to produce best image quality?

• Improved Siddon's ray tracer algorithm for the system matrix creation (code for regular Siddon available, but not used) [1,2]
• Orthogonal distance-based ray tracer [3]
• Volume of intersection ray tracer (THOR) [28].
• Maximum Likelihood Expectation Maximization (MLEM) [4,5]
• Ordered Subsets Expectation Maximization (OSEM) [6]
• data Ordered Subsets Expectation Maximization (COSEM) [7]
• Enhanced COSEM (ECOSEM) [8]
• Accelerated COSEM (ACOSEM) [9]
• Row-Action Maximum Likelihood Algorithm (RAMLA) [10]
• Relaxed OSEM (ROSEM)
• Rescaled Block-Iterative EM (RBI) [11]
• Dynamic RAMLA (DRAMA) [12]
• Modified RAMLA (MRAMLA), aka modified BSREM-2 [13]
• Block Sequential Regularized Expectation Maximization (BSREM) [14]
• One-step-late algorithm (OSL) [15]
• Quadratic prior (Gibbs prior with quadratic potential function)
• Median Root Prior (MRP) [16]
• L-filter (MRP-L) prior [17]
• Finite Impulse Response Median Hybrid (MRP-FMH) prior [17,18]
• Weighted mean prior [19,20]
• Total variation (TV) [21, 22, 23]
• Total generalized variation (TGV) [24]
• Anisotropic diffusion (AD) Median Root Prior
• Asymmetric parallel levels sets prior (APLS) [22]
• Non-local means prior (NLM), including non-local TV [25,26,27]

[villekf]

I don't think there is literature where all of them have been tested. If you want to find the best, you need to investigate that yourself.