S.-W. HuangPAI-CHI LI2018-09-102018-09-102005-11http://scholars.lib.ntu.edu.tw/handle/123456789/318080The attenuation coefficient distribution and sound velocity distribution in the breast can be used to complement B-mode ultrasound imaging in the detection of breast cancer. This study investigated an approach for re-constructing the attenuation coefficient distribution in the breast using a linear array. The imaging setup was identical to that for conventional B-mode breast imaging, and the same setup has been used for reconstruction of sound velocity distributions in previous studies. In this study, we further developed a reconstruction method for the attenuation coefficient distribution. In particular, the proposed method incorporates the segmentation information from B-mode images and uses the sound velocity distribution to compensate for refraction effects. Experiments were conducted with a setup consisting of a 5-MHz, 128-channel linear array, a programmable digital array system, a phantom, and a computer. The constructed phantom contained materials mimicking the following breast tissues: glandular tissue, fat, cysts, high-attenuation tumors, and irregular tumors. Application of the proposed technique resulted in all the cysts and tumors (including high-attenuation and irregular tumors) being distinguished by thresholding the re-constructed attenuation coefficients. We have demonstrated that it is possible to use the same imaging setup to acquire data for B-mode image, sound velocity distribution, and attenuation coefficient distribution simultaneously. Moreover, the experimental data indicate its potential in improving the detection of breast cancer. ? 2005 IEEE.[SDGs]SDG3Attenuation coefficients; Breast cancer; Glandular tissue; Ultrasonic computed tomography; Medical imaging; Tomography; Tumors; Ultrasonic imaging; Ultrasonic refraction; Ultrasonic velocity; Ultrasonics; Attenuation; algorithm; article; breast tumor; computer assisted diagnosis; echography; echomammography; equipment; equipment design; evaluation; human; image enhancement; image quality; instrumentation; methodology; reproducibility; sensitivity and specificity; tomography; transducer; Algorithms; Breast Neoplasms; Equipment Design; Equipment Failure Analysis; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Phantoms, Imaging; Reproducibility of Results; Sensitivity and Specificity; Tomography; Transducers; Ultrasonography, Mammaryjournal article10.1109/TUFFC.2005.15616702-s2.0-29144481654WOS:000233620700015