Method for representing tissue stiffness
A method and system for analyzing stiffness in a volume of tissue, the method including: emitting acoustic waveforms toward the volume of tissue with an array of ultrasound transmitters; detecting, with an array of ultrasound receivers, a set of acoustic signals derived from acoustic waveforms transmitted through the volume of tissue; generating, from the set of acoustic signals, a sound speed map and an acoustic attenuation map of a region of the volume of tissue, generating a stiffness map derived from combination of a set of sound speed parameter values of the sound speed map and a corresponding set of acoustic attenuation parameter values of the acoustic attenuation map, the stiffness map representing the distribution of the stiffness parameter across the region; and at a display in communication with the computer processor, rendering a stiffness image of the volume of tissue, based upon the stiffness map.
1. A system for determining a distribution of a stiffness parameter within a volume of tissue, the system comprising:
a transducer configured to receive the volume of tissue and comprising an array of ultrasound transmitters and an array of ultrasound receivers, the array of ultrasound transmitters configured to emit acoustic waveforms toward the volume of tissue and the array of ultrasound receivers configured to detect a set of acoustic signals derived from acoustic waveforms transmitted through the volume of tissue;
a processor in communication with the transducer, the processor comprising instructions which when executed are configured to:
output a sound speed map of a region of the volume of tissue, the region including a set of elements;
output an acoustic attenuation map of the region of the volume of tissue;
output a stiffness map derived from element-wise multiplication of the sound speed map and the acoustic attenuation map, the stiffness map representing the distribution of the stiffness parameter across the region of the volume of tissue; and
based upon the stiffness map, render a stiffness image of the volume of tissue, wherein the stiffness image includes an indication of presence of a target mass within the volume of tissue, at a display in communication with the processor.
2. The system of claim 1 , wherein the transducer comprises a ring transducer, wherein an opening of the ring transducer is configured to receive the volume of tissue.
3. The system of claim 2 , wherein the array of ultrasound transmitters and the array of ultrasound receivers are arranged about the ring transducer in an axially symmetric manner about the opening of the ring transducer.
4. The system of claim 1 , wherein the processor further comprises instructions which when executed are configured to apply an exponential function to each element of the element-wise multiplication of the sound speed map and the acoustic attenuation map to generate the stiffness map.
5. The system of claim 1 , wherein the transducer is configured to pass along the volume of tissue, submerged in an imaging tank with a coupling medium, in an anterior-posterior.
6. The system of claim 1 , wherein the processor does not comprise instructions configured to generate an elastography measurement for the volume of tissue.
7. The system of claim 1 , wherein the processor comprises instructions which are configured to generate an analysis that describes the target mass as a) a cancerous mass if the target mass is associated with high stiffness values, b) a fibroadenoma if the target mass is associated with a combination of high and low stiffness values, and c) a cyst if the target mass is associated with low stiffness values.
8. The system of claim 1 , wherein the processor comprises instructions which are configured to generate at least one of the acoustic attenuation map, the sound speed map, and the stiffness map from a set of coronal slices through the volume of tissue.
9. The system of claim 7 , wherein the processor comprises instructions which are configured to monitor changes in stiffness across the volume of tissue based on the analysis that describes the target mass.
10. The system of claim 1 , wherein the processor comprises instructions which are configured to generate an analysis that determines a severity or a stage of the target mass.
11. The system of claim 1 , wherein the processor comprises instructions which are configured to generate an analysis that determines whether the target mass is surgically removable.
12. The system of claim 1 , wherein the transducer is configured to emit acoustic waveforms at a frequency within a range of 1-20 Mhz.
13. The system of claim 1 , wherein the element-wise multiplication of the sound speed map and the acoustic attenuation map further comprises a weighting of either the sound speed map or the acoustic attenuation map.
14. The system of claim 1 , wherein the processor comprises instructions configured to condition the sound speed map, the acoustic attenuation map, or the stiffness map by one or more of uniformly scaling by a factor, uniformly decreasing, and performing an absolute value operation.
15. The system of claim 1 , wherein the stiffness image of the volume of tissue comprises one or more of: a distribution of colors, a distribution of patterns, a distribution of shading, and a distribution of a saturation parameter.
16. The system of claim 1 , wherein the processor comprises instructions to generate an average stiffness value for the region of the volume of tissue.
17. The system of claim 1 , wherein the stiffness image comprises an overlay of one or more of: the sound speed map, the acoustic attenuation map, and the acoustic stiffness map.
18. The system of claim 1 , wherein the processor and the display are coupled to a scanner table, wherein the scanner table comprises an opening that provides access to the volume of tissue.
19. The system of claim 18 , wherein the opening provides access to the volume of tissue when a patient is prone.
20. The system of claim 1 , wherein the volume of tissue is a patient breast.