Image domain ultrasound imaging denoising filter

A method, comprising:

• extracting a sub-set of data from each image of an ensemble of ultrasound images having diversity in an ensemble dimension;
• constructing a data matrix with the extracted data, wherein the data matrix has a dimension of space versus the ensemble dimension;
• identifying largest eigenvalue(s) in the data matrix;
• computing a coherent signal projection matrix with eigenvector(s) of the identified eigenvalue(s);
• filtering the data matrix with the coherent signal projection;
• and
• generating a decluttered ultrasound image with the filtered data.

A non-transitory computer readable medium encoded with computer executable instructions which when executed by a processor causes the processor to:

• extract a sub-set of data from each image of an ensemble of ultrasound images having diversity in an ensemble dimension;
• construct a data matrix with the extracted data, wherein the data matrix has a dimension of space versus the ensemble dimension;
• compute a covariance matrix with the data matrix;
• identify largest eigenvalue(s) and a corresponding eigenvector(s) in the covariance matrix;
• compute a coherent signal projection matrix with the eigenvector(s) of the identified eigenvalue(s);
• filter the data matrix with the coherent signal projection;
• compound the filtered data across the ensemble dimension;
• and
• generate a decluttered ultrasound image with the compounded filtered data.