DocumentCode
140730
Title
Automatic dissociation between microvasculature and larger vessels for ultrasound contrast imaging
Author
Perperidis, Antonios ; Thomas, David ; Averkiou, Michalakis ; Duncan, Colin ; McNeilly, Alan ; Butler, Mairead ; Sboros, Vassilis
Author_Institution
Inst. of Biol. Chem., Heriot Watt (HW) Univ., Edinburgh, UK
fYear
2014
fDate
26-30 Aug. 2014
Firstpage
5076
Lastpage
5079
Abstract
Microvasculature density (MVD) provides an established biomarker for the prognosis of numerous diseases associated with abnormal microvascular networks. The accurate, robust and timely assessment of MVD changes facilitates disease detection, treatment monitoring and patient stratification. Nevertheless, the current gold standard (PET) for MVD quantification is not used in clinical practice due to its high costs and potential health hazards. Contrast Enhanced Ultrasound (CEUS) imaging can provide an attractive alternative. However, the limited dissociation between larger vessels and microvasculature in the imaged tissues limits the accuracy and robustness of CEUS. This study proposed a novel, and fully automatic technique that dissociates larger vessels from microvasculature in CEUS imaged tissues. The ovine Corpus Luteum (CL) was used as an in vivo model for the development and assessment of the proposed technique.
Keywords
biological tissues; biomedical ultrasonics; diseases; image enhancement; medical image processing; patient monitoring; ultrasonic therapy; CEUS imaged tissues; CL; MVD; abnormal microvascular networks; automatic dissociation; biomarker; contrast enhanced ultrasound imaging; disease detection; in vivo model; microvasculature density; numerous diseases prognosis; ovine corpus luteum; patient stratification; patient treatment monitoring; Accuracy; Doppler effect; Image color analysis; Positron emission tomography; Robustness; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2014.6944766
Filename
6944766
Link To Document