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2025 Vol.44, Issue 6 Preview Page

Research Article

A study on cavitation imaging with high occurrence density in ultrasound passive cavitation imaging

초음파 수동 공동 영상에서 높은 발생 밀도를 가지는 공동의 영상화에 대한 연구

Mok Kun Jeong1*
정 목근1*
1대진대학교 반도체융합공학과
*Corresponding Author
30 November 2025. pp. 630-639
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Abstract

Ultrasonic shock wave causes cavitation in the medium. Cavitations destroy soft tissues in the human body, so they are used in the treatment of lesions. To ensure safe treatment, a method to monitor cavitation is needed. This paper confirmed that the distribution of cavitation with high occurrence frequency can be imaged using the Slanted Time Delay Focusing (STDF) method. Under experimental conditions with low occurrence frequency of cavitation, 20 sets of Radio Frequency (RF) data were obtained. Time series of cavitation image were calculated by applying STDF, and the maximum value of the image was calculated at each time instant and individual cavitation was detected using the temporal change of the maximum value. To simulate conditions with a high cavitation density, in the first method, all 20 individually calculated cavitation images were overlapped and used as a reference image for high density cavitation detection. In addition, 20 sets of ultrasound RF data were overlapped and used in the second method to compute cavitation image under high occurrence density conditions. In the third method, to reduce the error in cavitation detection, the image was segmented into several subregions and cavitation was detected in each region. The distribution of cavitation detected by the three methods was compared to confirm the feasibility of imaging cavitation in cases with high occurrence frequency of cavitation.

Keywords
Ultrasound image
Passive cavitation imaging
Slanted time delay focusing
Histotripsy

초음파 충격파는 매질에 공동을 일으킨다. 공동은 인체 연조직을 파괴시키므로 병변의 치료에 이용된다. 안전한 치료를 위해서는 공동의 발생을 모니터링하는 방법이 필요하다. 이 논문은 발생 빈도가 높은 공동의 분포를 Slanted Time Delay Focusing(STDF) 방법을 이용하여 영상화 할 수 있음을 확인하였다. 공동의 발생 빈도가 낮은 실험 조건에서 20 세트의 Radio Frequency(RF) 데이터를 얻었다. STDF을 적용하여 시계열 수동공동영상을 만들고, 각 시간에서 영상의 최댓값을 계산하고 최댓값의 시간적인 변화를 이용하여 공동을 검출하였다. 공동의 발생 밀도가 높은 데이터를 모사하기 위하여, 첫 번째, 각각 계산한 20개의 수동공동영상을 모두 중첩하여 높은 발생밀도의 공동검출의 기준 영상으로 사용하였다. 또한, 낮은 공동 발생 빈도의 초음파 RF 데이터 20세트를 중첩하고, 두 번째, 이 데이터를 사용하여 높은 발생밀도 조건에서의 공동영상을 계산하였다, 세 번째, 공동 검출의 오차를 줄이기 위하여 영상을 분할하여 여러 개의 부영역으로 나누고 각 영역에서 공동을 검출하였다. 세 가지 방법에서 검출된 공동의 분포를 비교하여 공동의 발생 빈도가 높은 경우에 수동 공동의 영상화 가능성을 확인하였다.

키워드
초음파 영상
수동공동영상법
경사시간집속
파쇄초음파치료
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Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 44
  • No :6
  • Pages :630-639
  • Received Date : 2025-07-30
  • Accepted Date : 2025-11-24
  • DOI :https://doi.org/10.7776/ASK.2025.44.6.630
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