Implementation of Medical Image Reconstruction Algorithm for Photoacoustic Imaging Using k-wave Toolkit

Enkhbat Batbayar; Ju Yeon Lee; Woonchul Ham; Enkhbaatar Tumenjargal; Chulgyu Song; Seungkuk Roh

doi:10.1109/BIBE.2017.000-3

Implementation of Medical Image Reconstruction Algorithm for Photoacoustic Imaging Using k-wave Toolkit

Enkhbat Batbayar
, Ju Yeon Lee
, Woonchul Ham
, Enkhbaatar Tumenjargal
, Chulgyu Song
, Seungkuk Roh

Division of Electronic Engineering

Jeonbuk National University

Research output: Contribution to conference › Conference paper › peer-review

2 Scopus citations

Abstract

This paper describes the implementation of a proposed image reconstruction algorithm for stereo photo-acoustic medical imaging system. The main goal of this algorithm is to evaluate the existence possibility of acoustic source within a search area by using the geometric information which is the distance between each sensor element of ultrasound probe and corresponding searching point. We briefly describe the proposed algorithm in this paper which was comprehensively and clearly explained in our previous paper \cite{ref40}. We also discussed an algorithm that is calculated the arc length of searching area corresponding to an element of acoustic detector. In this paper, some experimental results are presented which utilized the proposed algorithm with and without calculating arc length. We also compared the image quality of the proposed algorithm with and without calculating arc length and conventional k-wave algorithm in which FFT should be used. Apart from implementing the proposed algorithm with k-wave toolbox, we also implemented the hardware and software aspects of an ultrasound system that is explained in hardware implementation section of this paper. The simulation results proved the effectiveness of the proposed reconstruction algorithm with arc length calculation.

Original language	English
Title of host publication	Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	508-513
Number of pages	6
ISBN (Electronic)	9781538613245
DOIs	https://doi.org/10.1109/BIBE.2017.000-3
State	Published - 2017.07.1
Event	17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017 - Herndon, United States Duration: 2017.10.23 → 2017.10.25

Publication series

Name	Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017
Volume	2018-January

Conference

Conference	17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017
Country/Territory	United States
City	Herndon
Period	17.10.23 → 17.10.25

Keywords

GPU
k-wave
medical imaging
NON-FFT
Photo-acoustic
reconstruction algorithm

Quacquarelli Symonds(QS) Subject Topics

Computer Science & Information Systems
Mathematics
Medicine
Data Science
Biological Sciences

Access to Document

10.1109/BIBE.2017.000-3

Cite this

Batbayar, E., Lee, J. Y., Ham, W., Tumenjargal, E., Song, C., & Roh, S. (2017). Implementation of Medical Image Reconstruction Algorithm for Photoacoustic Imaging Using k-wave Toolkit. In Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017 (pp. 508-513). (Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBE.2017.000-3

Batbayar, Enkhbat ; Lee, Ju Yeon ; Ham, Woonchul et al. / Implementation of Medical Image Reconstruction Algorithm for Photoacoustic Imaging Using k-wave Toolkit. Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 508-513 (Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017).

@inproceedings{111adaaa43ff48a8af1496ffea14ca58,

title = "Implementation of Medical Image Reconstruction Algorithm for Photoacoustic Imaging Using k-wave Toolkit",

abstract = "This paper describes the implementation of a proposed image reconstruction algorithm for stereo photo-acoustic medical imaging system. The main goal of this algorithm is to evaluate the existence possibility of acoustic source within a search area by using the geometric information which is the distance between each sensor element of ultrasound probe and corresponding searching point. We briefly describe the proposed algorithm in this paper which was comprehensively and clearly explained in our previous paper \textbackslash{}cite\{ref40\}. We also discussed an algorithm that is calculated the arc length of searching area corresponding to an element of acoustic detector. In this paper, some experimental results are presented which utilized the proposed algorithm with and without calculating arc length. We also compared the image quality of the proposed algorithm with and without calculating arc length and conventional k-wave algorithm in which FFT should be used. Apart from implementing the proposed algorithm with k-wave toolbox, we also implemented the hardware and software aspects of an ultrasound system that is explained in hardware implementation section of this paper. The simulation results proved the effectiveness of the proposed reconstruction algorithm with arc length calculation.",

keywords = "GPU, k-wave, medical imaging, NON-FFT, Photo-acoustic, reconstruction algorithm",

author = "Enkhbat Batbayar and Lee, \{Ju Yeon\} and Woonchul Ham and Enkhbaatar Tumenjargal and Chulgyu Song and Seungkuk Roh",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017 ; Conference date: 23-10-2017 Through 25-10-2017",

year = "2017",

month = jul,

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doi = "10.1109/BIBE.2017.000-3",

language = "English",

series = "Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017",

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Batbayar, E, Lee, JY, Ham, W, Tumenjargal, E, Song, C & Roh, S 2017, Implementation of Medical Image Reconstruction Algorithm for Photoacoustic Imaging Using k-wave Toolkit. in Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 508-513, 17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017, Herndon, United States, 17.10.23. https://doi.org/10.1109/BIBE.2017.000-3

Implementation of Medical Image Reconstruction Algorithm for Photoacoustic Imaging Using k-wave Toolkit. / Batbayar, Enkhbat; Lee, Ju Yeon; Ham, Woonchul et al.
Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 508-513 (Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017; Vol. 2018-January).

Research output: Contribution to conference › Conference paper › peer-review

TY - GEN

T1 - Implementation of Medical Image Reconstruction Algorithm for Photoacoustic Imaging Using k-wave Toolkit

AU - Batbayar, Enkhbat

AU - Lee, Ju Yeon

AU - Ham, Woonchul

AU - Tumenjargal, Enkhbaatar

AU - Song, Chulgyu

AU - Roh, Seungkuk

PY - 2017/7/1

Y1 - 2017/7/1

N2 - This paper describes the implementation of a proposed image reconstruction algorithm for stereo photo-acoustic medical imaging system. The main goal of this algorithm is to evaluate the existence possibility of acoustic source within a search area by using the geometric information which is the distance between each sensor element of ultrasound probe and corresponding searching point. We briefly describe the proposed algorithm in this paper which was comprehensively and clearly explained in our previous paper \cite{ref40}. We also discussed an algorithm that is calculated the arc length of searching area corresponding to an element of acoustic detector. In this paper, some experimental results are presented which utilized the proposed algorithm with and without calculating arc length. We also compared the image quality of the proposed algorithm with and without calculating arc length and conventional k-wave algorithm in which FFT should be used. Apart from implementing the proposed algorithm with k-wave toolbox, we also implemented the hardware and software aspects of an ultrasound system that is explained in hardware implementation section of this paper. The simulation results proved the effectiveness of the proposed reconstruction algorithm with arc length calculation.

AB - This paper describes the implementation of a proposed image reconstruction algorithm for stereo photo-acoustic medical imaging system. The main goal of this algorithm is to evaluate the existence possibility of acoustic source within a search area by using the geometric information which is the distance between each sensor element of ultrasound probe and corresponding searching point. We briefly describe the proposed algorithm in this paper which was comprehensively and clearly explained in our previous paper \cite{ref40}. We also discussed an algorithm that is calculated the arc length of searching area corresponding to an element of acoustic detector. In this paper, some experimental results are presented which utilized the proposed algorithm with and without calculating arc length. We also compared the image quality of the proposed algorithm with and without calculating arc length and conventional k-wave algorithm in which FFT should be used. Apart from implementing the proposed algorithm with k-wave toolbox, we also implemented the hardware and software aspects of an ultrasound system that is explained in hardware implementation section of this paper. The simulation results proved the effectiveness of the proposed reconstruction algorithm with arc length calculation.

KW - GPU

KW - k-wave

KW - medical imaging

KW - NON-FFT

KW - Photo-acoustic

KW - reconstruction algorithm

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U2 - 10.1109/BIBE.2017.000-3

DO - 10.1109/BIBE.2017.000-3

M3 - Conference paper

AN - SCOPUS:85049571306

T3 - Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017

SP - 508

EP - 513

BT - Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017

Y2 - 23 October 2017 through 25 October 2017

ER -

Batbayar E, Lee JY, Ham W, Tumenjargal E, Song C, Roh S. Implementation of Medical Image Reconstruction Algorithm for Photoacoustic Imaging Using k-wave Toolkit. In Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 508-513. (Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017). doi: 10.1109/BIBE.2017.000-3

Implementation of Medical Image Reconstruction Algorithm for Photoacoustic Imaging Using k-wave Toolkit

Abstract

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Keywords

Quacquarelli Symonds(QS) Subject Topics

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