DocumentCode :
2478221
Title :
P3A-4 Compounding of Strain Data Non-Invasively Obtained at Large Beam Steered Angles
Author :
Hansen, Hendrik H G ; Lopata, Richard G P ; De Korte, Chris L.
Author_Institution :
Radboud Univ. Nijmegen Med. Centre, Nijmegen
fYear :
2007
fDate :
28-31 Oct. 2007
Firstpage :
1720
Lastpage :
1723
Abstract :
Non-invasive vulnerable plaque detection is beneficial for prevention of stroke and myocardial infarction. A recent study [1] has shown, that non-invasive vulnerable plaque detection in the carotid arteries is feasible by ultrasound elastography. However, the quality of the strain images is low, because contrary to intravascular strain imaging, lateral strain input is required for reconstructing radial and circumferential strain images. This study focuses on reducing the distortion caused by the lateral component by constructing radial and circumferential strain images from mainly axial strain data acquired at multiple insonification angles. Beam steering techniques [2] were applied to achieve insonification angles of up to 45deg. Most of the compound radial and circumferential strain images were estimated by projecting axial strain data in radial direction. A segment calculated by principal component analysis was added to obtain full 360deg compound strain images. Compound radial and circumferential strain images were constructed for three gelatin vessel phantoms; a homogeneous phantom with a concentric lumen, a homogeneous phantom with an eccentric lumen, and a heterogeneous phantom with an eccentric soft plaque. Three radial and circumferential strain images were constructed for the concentric phantom. The first was constructed by principal component analysis of 0deg data only. The second consisted of data obtained at -45, 0 and 45 degrees beam steering, and the third was made up of data acquired at -45, -30, -22, -15, 0, 15, 22, 30, and 45 degrees beam steering. Assuming a radial strain decay, elastographic signal-to-noise ratio´s (SNRe), and contrast-to-noise ratio´s (CNRe) of these images were determined and compared. Finally, compound radial and circumferential strain images of the two eccentric phantoms were constructed from data acquired at the complete range of insonification angles, and compared. The image quality of the radial and- circumferential compound strain images improved considerably compared to the radial and circumferential strain image constructed from 0deg information only. SNRe and CNRe, increases of up to 4.4 dB and 9.9 dB were measured respectively. Image quality of the elastogram improved with the number of beam steered angles used for the compounding. By comparing the strain images of the two eccentric phantoms the soft plaque region could be identified.
Keywords :
biomechanics; biomedical ultrasonics; blood vessels; cardiovascular system; diseases; elasticity; gelatin; image reconstruction; medical image processing; phantoms; principal component analysis; axial strain data; beam steering techniques; carotid arteries; circumferential compound strain images; circumferential strain image reconstruction; concentric lumen; eccentric lumen; eccentric soft plaque; elastographic signal-to-noise ratio; gelatin vessel phantoms; heterogeneous phantom; homogeneous phantom; intravascular strain imaging; large beam steered angles; multiple insonification angles; myocardial infarction prevention; noninvasive vulnerable plaque detection; principal component analysis; radial strain decay; radial strain image reconstruction; soft plaque region identifcation; strain image quality; stroke prevention; ultrasound elastography; Beam steering; Capacitive sensors; Carotid arteries; Image quality; Image reconstruction; Image segmentation; Imaging phantoms; Myocardium; Principal component analysis; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultrasonics Symposium, 2007. IEEE
Conference_Location :
New York, NY
ISSN :
1051-0117
Print_ISBN :
978-1-4244-1384-3
Electronic_ISBN :
1051-0117
Type :
conf
DOI :
10.1109/ULTSYM.2007.433
Filename :
4410006
Link To Document :
بازگشت