Implementation of GPU accelerated SPECT reconstruction with Monte Carlo-based scatter correction.
Objective: Statistical SPECT reconstruction can be very time-consuming especially when compensations for collimator and detector response, attenuation, and scatter are included in the reconstruction. This work proposes an accelerated SPECT reconstruction algorithm based on graphics processing unit (...
| Publicado en: | Annals of Nuclear Medicine Vol. 32; no. 5; pp. 337 - 348 |
|---|---|
| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2018
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129794644&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129794644 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09147187 1CFC jtl: Annals of Nuclear Medicine issn: 09147187 maglogo: N pubinfo: dt: Jun2018 vid: 32 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 129794644 129794644 NLM29564718 10.1007/s12149-018-1252-1 NLM29564718 129794644 ppf: 337 ppct: 11 formats: tig: atl: Implementation of GPU accelerated SPECT reconstruction with Monte Carlo-based scatter correction. aug: au: Bexelius, Tobias Sohlberg, Antti affil: HERMES Medical Solutions, Skeppsbron 44, 111 30, Stockholm, Sweden sug: subj: Computers and Computerization Algorithms Tomography, Emission-Computed, Single-Photon Methods Models, Anatomic Tomography, Emission-Computed, Single-Photon Equipment and Supplies Phantoms, Imaging Computer Simulation Computer Graphics Systems Analysis Models, Theoretical Time Factors Scales ab: Objective: Statistical SPECT reconstruction can be very time-consuming especially when compensations for collimator and detector response, attenuation, and scatter are included in the reconstruction. This work proposes an accelerated SPECT reconstruction algorithm based on graphics processing unit (GPU) processing.Methods: Ordered subset expectation maximization (OSEM) algorithm with CT-based attenuation modelling, depth-dependent Gaussian convolution-based collimator-detector response modelling, and Monte Carlo-based scatter compensation was implemented using OpenCL. The OpenCL implementation was compared against the existing multi-threaded OSEM implementation running on a central processing unit (CPU) in terms of scatter-to-primary ratios, standardized uptake values (SUVs), and processing speed using mathematical phantoms and clinical multi-bed bone SPECT/CT studies.Results: The difference in scatter-to-primary ratios, visual appearance, and SUVs between GPU and CPU implementations was minor. On the other hand, at its best, the GPU implementation was noticed to be 24 times faster than the multi-threaded CPU version on a normal 128 × 128 matrix size 3 bed bone SPECT/CT data set when compensations for collimator and detector response, attenuation, and scatter were included.Conclusions: GPU SPECT reconstructions show great promise as an every day clinical reconstruction tool. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|