Detection and characterization of breast masses with ultrasound tomography: clinical results

Neb Duric; Peter Littrup; Cuiping Li; Olsi Rama; Lisa Bey-Knight R.N.; Steven Schmidt; Jessica Lupinacci

doi:10.1117/12.812994

20 March 2009 Detection and characterization of breast masses with ultrasound tomography: clinical results

Neb Duric, Peter Littrup, Cuiping Li, Olsi Rama, Lisa Bey-Knight R.N., Steven Schmidt, Jessica Lupinacci

Proceedings Volume 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing; 72651G (2009) https://doi.org/10.1117/12.812994
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

We report on a continuing assessment of the in-vivo performance of an operator independent breast imaging device based on the principles of acoustic tomography. This study highlights the feasibility of mass characterization using criteria derived from reflection, sound speed and attenuation imaging. The data were collected with a clinical prototype at the Karmanos Cancer Institute in Detroit MI from patients recruited at our breast center. Tomographic sets of images were constructed from the data and used to form 3-D image stacks corresponding to the volume of the breast. Masses were identified independently by either ultrasound or biopsy and their locations determined from conventional mammography and ultrasound exams. The nature of the mass and its location were used to assess the feasibility of our prototype to detect and characterize masses in a case-following scenario. Our techniques generated whole breast reflection images as well as images of the acoustic parameters of sound speed and attenuation. The combination of these images reveals major breast anatomy, including fat, parenchyma, fibrous stroma and masses. The three types of images are intrinsically co-registered because the reconstructions are performed using a common data set acquired by the prototype. Fusion imaging, utilizing thresholding, is shown to visualize mass characterization and facilitates separation of cancer from benign masses. These initial results indicate that operatorindependent whole-breast imaging and the detection and a characterization of cancerous breast masses are feasible using acoustic tomography techniques.

Citation Download Citation

Neb Duric, Peter Littrup, Cuiping Li, Olsi Rama, Lisa Bey-Knight R.N., Steven Schmidt, and Jessica Lupinacci "Detection and characterization of breast masses with ultrasound tomography: clinical results", Proc. SPIE 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, 72651G (20 March 2009); https://doi.org/10.1117/12.812994

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