CAJ | 학술논문

声辐射力弹性成像是一种新的测量组织硬度的超声成像方法。不同于其他超声组织弹性成像方法，声辐射力弹性成像能够定量测量组织的弹性模量数值，并且具有对操作者经验依赖性低的特点。然而，由于成像算法数据处理量大，运算时间长，声辐射力弹性成像还无法进行准实时的二维成像。为了获得实时的二维声辐射力弹性图像，提出并实现了一种适合于在GPU上并行计算的声辐射力弹性成像算法。通过与运行在CPU上的原始声辐射力弹性成像算法进行对比，证明在GPU上实现的算法大幅度地提高了运算速度。在自制弹性仿体上，比较了基于GPU和CPU两种算法所成的二维弹性分布图像的质量，结果证明两者的图像质量没有明显差异。
성복사력탄성성상시일충신적측량조직경도적초성성상방법。불동우기타초성조직탄성성상방법，성복사력탄성성상능구정량측량조직적탄성모량수치，병차구유대조작자경험의뢰성저적특점。연이，유우성상산법수거처리량대，운산시간장，성복사력탄성성상환무법진행준실시적이유성상。위료획득실시적이유성복사력탄성도상，제출병실현료일충괄합우재GPU상병행계산적성복사력탄성성상산법。통과여운행재CPU상적원시성복사력탄성성상산법진행대비，증명재GPU상실현적산법대폭도지제고료운산속도。재자제탄성방체상，비교료기우GPU화CPU량충산법소성적이유탄성분포도상적질량，결과증명량자적도상질량몰유명현차이。
Acoustic Radiation Force Imaging(ARFI)is a novel method of tissue stiffness estimation. Compared with other conventional ultrasound methods, ARFI is quantitative and less operator dependent. However, current ARFI still cannot provide quasi-real-time 2D images since its algorithm is data-intensive and time-consuming. In order to obtain real-time 2D ARFI image, a new ARFI algorithm which is suitable for parallel computation on GPU is put forward and accomplished. According to the results, a high accelerate ratio has been obtained between GPU and CPU. Comparison of the quality of stiffness mapping images obtained by both CPU and GPU is also performed on a self-made phantom, and it is found that there is no distinct difference between the images.