Optimal filtering for improved perfusion sensitivity

Minwoo Kim, Jamila Hedhli, Lawrence W. Dobrucki, Craig K. Abbey, Michael F. Insana

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Ultrasonic perfusion imaging requires high sensitivity to slow disorganized blood-flow patterns while simultaneously rejecting clutter and noise. We achieve high sensitivity to both vascular flow and perfusion without contrast enhancement by adopting the following sampling pattern. Doppler pulses sampled at 1 kHz were acquired to form a Doppler frame. Frames were recorded at 10 Hz over 10 seconds. We organized these echo data into a 3-D array along slow-time, frame-time, and spatial axes. The 3-D echo array was decomposed using a 3-D SVD method to effectively separate blood flow signals from clutter and noise. These techniques were applied to a murine melanoma model at 24 MHz to form power Doppler tumor images. The results show the vascular perfusion of lesions without contrast enhancement.

Original languageEnglish (US)
Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781538633830
StatePublished - Oct 31 2017
Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
Duration: Sep 6 2017Sep 9 2017

Publication series

NameIEEE International Ultrasonics Symposium, IUS
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727


Other2017 IEEE International Ultrasonics Symposium, IUS 2017
CountryUnited States


  • HOSVD clutter filters
  • Melanoma
  • Mouse model
  • Power Doppler imaging

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Fingerprint Dive into the research topics of 'Optimal filtering for improved perfusion sensitivity'. Together they form a unique fingerprint.

Cite this