GPU-accelerated Double-stage Delay-multiply-and-sum Algorithm for Fast Photoacoustic Tomography Using LED Excitation and Linear Arrays.
Double-stage delay-multiply-and-sum (DS-DMAS) is an algorithm proposed for photoacoustic image reconstruction. The DS-DMAS algorithm offers a higher contrast than conventional delay-and-sum and delay-multiply and-sum but at the expense of higher computational complexity. Here, we utilized a compute...
| Publicado en: | Ultrasonic Imaging Vol. 41; no. 5; pp. 301 - 317 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Sage Publications Inc.
Sep2019
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| 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=138148613&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138148613 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01617346 2HF jtl: Ultrasonic Imaging issn: 01617346 maglogo: Y pubinfo: dt: Sep2019 vid: 41 iid: 5 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 138148613 138148613 NLM31322057 10.1177/0161734619862488 NLM31322057 138148613 ppf: 301 ppct: 16 formats: tig: atl: GPU-accelerated Double-stage Delay-multiply-and-sum Algorithm for Fast Photoacoustic Tomography Using LED Excitation and Linear Arrays. aug: au: Miri Rostami, Seyyed Reza Mozaffarzadeh, Moein Ghaffari-Miab, Mohsen Hariri, Ali Jokerst, Jesse affil: 1 Computational Electromagnetics Laboratory, Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran sug: subj: Image Processing, Computer Assisted Methods Computer Graphics Acoustics Methods Algorithms Signal Processing, Computer Assisted Acoustics Equipment and Supplies Equipment Design Phantoms, Imaging Tomography Sensitivity and Specificity Clinical Assessment Tools Scales ab: Double-stage delay-multiply-and-sum (DS-DMAS) is an algorithm proposed for photoacoustic image reconstruction. The DS-DMAS algorithm offers a higher contrast than conventional delay-and-sum and delay-multiply and-sum but at the expense of higher computational complexity. Here, we utilized a compute unified device architecture (CUDA) graphics processing unit (GPU) parallel computation approach to address the high complexity of the DS-DMAS for photoacoustic image reconstruction generated from a commercial light-emitting diode (LED)-based photoacoustic scanner. In comparison with a single-threaded central processing unit (CPU), the GPU approach increased speeds by nearly 140-fold for 1024 × 1024 pixel image; there was no decrease in accuracy. The proposed implementation makes it possible to reconstruct photoacoustic images with frame rates of 250, 125, and 83.3 when the images are 64 × 64, 128 × 128, and 256 × 256, respectively. Thus, DS-DMAS can be efficiently used in clinical devices when coupled with CUDA GPU parallel computation. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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