基于改进DMAS的平面波超声成像算法及其GPU实现

doi:10.12068/j.issn.1005-3026.2019.07.003

东北大学学报:自然科学版 ›› 2019, Vol. 40 ›› Issue (7): 925-931.DOI: 10.12068/j.issn.1005-3026.2019.07.003

基于改进DMAS的平面波超声成像算法及其GPU实现

鲍喜荣，沈晓燕，张石，苏婷

(东北大学计算机科学与工程学院，辽宁沈阳110169)

收稿日期:2018-06-21 修回日期:2018-06-21 出版日期:2019-07-15 发布日期:2019-07-16
通讯作者: 鲍喜荣
作者简介:鲍喜荣(1978-)，男，湖北当阳人，东北大学讲师，博士; 张石(1963-)，男，辽宁抚顺人，东北大学教授，博士生导师.
基金资助:
中央高校基本科研业务费专项资金资助项目(N171604011).

Plane Wave Ultrasonic Imaging Algorithm Based on Improved DMAS and Its GPU Implementation

BAO Xi-rong， SHEN Xiao-yan， ZHANG Shi， SU Ting

School of Computer Science & Engineering， Northeastern University， Shenyang 110169， China.

Received:2018-06-21 Revised:2018-06-21 Online:2019-07-15 Published:2019-07-16
Contact: SHEN Xiao-yan
About author:-
Supported by:
-

摘要/Abstract

摘要： 针对基于DMAS波束合成的平面波超声成像算法的图像对比信噪比偏低及算法复杂度大，无法实现实时成像的问题，提出了一种具有较高成像质量和较小计算复杂度的平面波超声成像算法DSBMGCF(delay sum before multiply and generalized coherence factor)，借助FieldII仿真工具在Matlab上进行点目标和囊肿目标的仿真实验，验证了该算法的成像质量.同时，对所提出的新算法进行了并行化研究和改进，得到了一种适合在GPU上并行实现的平面波超声成像并行算法PDMASGCF(parallel delay multiply and sum generalized coherence factor)，并在实验室戴尔T7810普通工作站上进行了平面波超声成像时间和质量的验证实验，获得了较高的成像帧频，并保证了较好的成像性能.

关键词: 平面波, DMAS, 对比信噪比, GPU, 并行

Abstract: The contrast signal-to-noise ratio(SNR) of the image synthesized by the plane wave ultrasonic imaging algorithm based on DMAS beamforming is low and the real-time imaging problem cannot be realized due to the complexity of the algorithm.A new plane wave ultrasonic imaging algorithm named DSBMGCF(delay sum before multiply and generalized coherence factor) with higher imaging quality and less complexity of calculation was proposed. Then， the simulation experiment of point target and cyst target were done on Matlab by FieldII simulation tool. The imaging quality of the algorithm was verified. At the same time， the proposed algorithm was parallelized and improved， and a parallel algorithm for plane wave ultrasound imaging， PDMASGCF(parallel delay multiply and sum generalized coherence factor)， which is suitable for parallel implementation on GPU was obtained. Finally， on the ordinary workstation Dell T7810 in the laboratory， the verification experiments on time and quality of imaging were carried out. Higher imaging frame rate was obtained， while better imaging performance was guaranteed.

Key words: plane wave, DMAS(delay multiply and sum), contrast signal-to-noise ratio, graphic processing unit(GPU), parallel

中图分类号:

TP391.5

鲍喜荣，沈晓燕，张石，苏婷. 基于改进DMAS的平面波超声成像算法及其GPU实现[J]. 东北大学学报:自然科学版, 2019, 40(7): 925-931.

BAO Xi-rong， SHEN Xiao-yan， ZHANG Shi， SU Ting. Plane Wave Ultrasonic Imaging Algorithm Based on Improved DMAS and Its GPU Implementation[J]. Journal of Northeastern University Natural Science, 2019, 40(7): 925-931.

参考文献

[1]Shattuck D P，Weinshenker M D，Smith S W，et al.Explososcan:a parallel processing technique for high speed ultrasound imaging with linear phased arrays［J］.The Journal of the Acoustical Society of America，1984，75(4):1273-1282.
[2]Tanter M，Fink M.Ultrafast imaging in biomedical ultrasound［J］.IEEE Transactions on Ultrasonics，Ferroelectrics，and Frequency Control， 2014，61(1):102-119.
[3]Montaldo G，Tanter M，Bercoff J，et al.Coherent plane-wave compounding for very high frame rate ultrasonography and transient elastography［J］.IEEE Transactions on Ultrasonics，Ferroelectrics，and Frequency Control，2009，56(3):489-506.
[4]Deylami A M，Jensen J A，Asl B M.An improved minimum variance beamforming applied to plane-wave imaging in medical ultrasound［C］//2016 IEEE International Ultrasonics Symposium(IUS).Tours，2016:1-4.
[5]Lim H B，Nhung N T T，Li E P，et al.Confocal microwave imaging for breast cancer detection:delay-multiply-and-sum image reconstruction algorithm［J］.IEEE Transactions on Biomedical Engineering，2008，55(6):1697-1704.
[6]赵金鑫，汪源源，郭威，等.基于广义相干系数的超声平面波复合成像［J］.仪器仪表学报，2014，35(sup2):186-190.(Zhao Jin-xin，Wang Yuan-yuan，Guo Wei，et al.Ultrasonic plane wave composite imaging based on generalized coherence coefficient［J］.Chinese Journal of Scientific Instrument，2014，35(sup2):186-190.)
[7]Matrone G，Savoia A S，Caliano G，et al.The delay multiply and sum beamforming algorithm in ultrasound B-mode medical imaging［J］.IEEE Transactions on Medical Imaging，2015，34(4):940-949.
[8]Matrone G，Savoia A S，Caliano G，et al.Ultrasound plane-wave imaging with delay multiply and sum beamforming and coherent compounding［C］//The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC).Orlando，2016:3223-3226.
[9]Li P C，Li M L.Adaptive imaging using the generalized coherence factor［J］.IEEE Transactions on Ultrasonics，Ferroelectrics，and Frequency Control，2003，50(2):128-141.
[10]Denarie B，Tangen T A，Ekroll I K，et al.Coherent plane wave compounding for very high frame rate ultrasonography of rapidly moving targets［J］.IEEE Transactions on Medical Imaging，2015，32(7):1265-1276.
[11]Lu J Y.2D and 3D high name rate imaging with limited diffraction beams［J］.IEEE Transactions on Ultrasonics， Ferroelectrics，and Frequency Control，1997，44(4): 839-856.
[12]Rosenzweig S，Palmeri M，Nightingale K.GPU-based real-time small displacement estimation with ultrasound［J］.IEEE Transactions on Ultrasonics，Ferroelectrics，and Frequency Control，2011，58(2):399-405.
[13]尉明望.超快速超声成像方法研究及其CUDA实现［D］.哈尔滨:哈尔滨工业大学，2016.(Yu Ming-wang.Ultra-fast ultrasonic imaging and implementation on CUDA［D］.Harbin:Harbin Institute of Technology，2016.)

[1]	查从燚，孙志礼，潘陈蓉，王健. 面向结构可靠性分析的并行自适应加点策略[J]. 东北大学学报（自然科学版）, 2023, 44(1): 76-82.
[2]	屈喜铭，李大宇，张石，王宝宇. 基于改进相干因子的延时乘累加平面波超声成像[J]. 东北大学学报（自然科学版）, 2022, 43(9): 1234-1239.
[3]	杨宜舟，吴立新，郭甲腾，刘善军. 基于并行叠加的国土空间开发适宜性评价[J]. 东北大学学报（自然科学版）, 2021, 42(11): 1585-1590.
[4]	李海朋，李晶皎，金硕巍，杨丹. 多宇宙并行量子遗传神经网络人脸识别算法研究[J]. 东北大学学报:自然科学版, 2019, 40(5): 614-618.
[5]	韩美灵，邓庆绪，张天宇，林宇晗. 基于G-EDF的DAG并行任务多核响应时间分析[J]. 东北大学学报:自然科学版, 2019, 40(3): 315-320.
[6]	桑爱军，崔新宇，王艇，李晓妮. 2M维矢量矩阵DCT整数变换及并行实现[J]. 东北大学学报:自然科学版, 2017, 38(11): 1543-1547.
[7]	王佳英，王斌，李晓华，杨晓春. 采用BWT的多核并行的子串匹配算法[J]. 东北大学学报:自然科学版, 2016, 37(5): 624-628.
[8]	李传文，车庆首，谷峪，邓庆绪. QGrid:一种空间移动对象并行索引结构[J]. 东北大学学报:自然科学版, 2016, 37(11): 1541-1546.
[9]	高维廷，李辉. 衰落信道下自适应卡尔曼异步IC多用户检测器[J]. 东北大学学报:自然科学版, 2014, 35(7): 949-953.
[10]	王玉;王宏;黄海龙;. GPU加速技术在治疗计划系统剂量计算中的应用[J]. 东北大学学报(自然科学版), 2012, 33(5): 649-652.
[11]	周本海;乔建忠;林树宽;. 多核平台的并行实时调度与内存分配算法[J]. 东北大学学报(自然科学版), 2012, 33(3): 357-360+376.
[12]	吴春俐;胡文娟;阚如文;于健;. 一种改进的磁共振并行成像k空间数据采集算法[J]. 东北大学学报(自然科学版), 2011, 32(8): 1101-1104+1110.
[13]	师金钢;鲍玉斌;冷芳玲;于戈;. 基于MapReduce的关系型数据仓库并行查询[J]. 东北大学学报(自然科学版), 2011, 32(5): 626-629.
[14]	周本海;乔建忠;林树宽;. 基于多核处理器的动态共享缓存分配算法[J]. 东北大学学报(自然科学版), 2011, 32(1): 44-47.
[15]	杨春阳;段勃勃;袁淮;刘积仁;. 多核平台上基于可声明并行性的程序优化框架[J]. 东北大学学报(自然科学版), 2011, 32(1): 22-26.

基于改进DMAS的平面波超声成像算法及其GPU实现

Plane Wave Ultrasonic Imaging Algorithm Based on Improved DMAS and Its GPU Implementation

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价