DocumentCode :
2951564
Title :
Ultrasound tomography of the breast using linear arrays
Author :
Li, Pai-Chi ; Huang, Sheng-Wen
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume :
5
fYear :
2005
fDate :
18-23 March 2005
Abstract :
An approach for tomographic reconstructions of the sound velocity distribution and attenuation coefficient distribution in the breast using linear arrays is proposed. The time-of-flight and attenuation data are acquired by a linear array positioned at the top of a compressed breast and a metal plate is placed at the bottom as a reflector. The refraction effects on the attenuation data are compensated using a technique based on the angular spectrum method. A reconstruction algorithm based on a convex programming formulation and incorporating the segmentation information from the B-mode image is used. The experimental setup includes a phantom made of materials mimicking different tissues in the breast. Results show that obtaining the sound velocity distribution and attenuation coefficient distribution is feasible with the proposed algorithm under current B-mode imaging setup with linear arrays. Such an imaging method has the potential of enhancing the breast cancer detection.
Keywords :
acoustic tomography; biological tissues; biomedical ultrasonics; cancer; convex programming; image reconstruction; image segmentation; mammography; medical image processing; phantoms; ultrasonic arrays; ultrasonic refraction; B-mode image; angular spectrum method; attenuation coefficient distribution; breast cancer detection; convex programming; linear arrays; metal plate; phantom; refraction effects; segmentation information; sound velocity distribution; time-of-flight data; tissues; tomographic reconstructions; ultrasound tomography; Acoustic refraction; Attenuation; Breast; Image coding; Image reconstruction; Image segmentation; Imaging phantoms; Reconstruction algorithms; Tomography; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1416472
Filename :
1416472
Link To Document :
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