Abstract: Methods are provided for enhancing the image of brachytherapy seeds implanted in tissue using a transrectal ultrasound apparatus. In a first arrangement the resonance of the seeds is determined and the seeds are insonified using acoustic signals having a resonance frequency of the seeds to cause the seeds to vibrate. The vibrating seeds have enhanced detection using a Doppler ultrasound device. In a second arrangement the acoustic signature of the seeds is determined and used to enhance the imaging of the seeds using a correlation function. In a third arrangement images are taken of the tissue and implanted seeds prior to and during the application of mechanical stress to the tissue. A correlation between the unstressed and stressed tissue can cause enhanced imaging of the seeds.

Abstract: Methods are provided for enhancing the image of brachytherapy seeds implanted in tissue using a transrectal ultrasound apparatus. In a first arrangement the resonance of the seeds is determined and the seeds are insonified using acoustic signals having a resonance frequency of the seeds to cause the seeds to vibrate. The vibrating seeds have enhanced detection using a Doppler ultrasound device. In a second arrangement the acoustic signature of the seeds is determined and used to enhance the imaging of the seeds using a correlation function. In a third arrangement images are taken of the tissue and implanted seeds prior to and during the application of mechanical stress to the tissue. A correlation between the unstressed and stressed tissue can cause enhanced imaging of the seeds.

Abstract: Clinical data, ultrasonic radio frequency (RF) backscatter spectral data and histological results of corresponding biopsy sites are stored in a database and are used to train a classifier suitable for real-time tissue classification and imaging. In clinical use, clinical data and ultrasonic RF backscatter data are applied as input variables to the trained classifier which assigns a likelihood of cancer (LOC) score to each pixel location in an ultrasound image. The LOC scores are then categorized by ranges, which can be established by user selected threshold values, to apply different colors or grey scale values distinguishing varying levels of suspicion (LOS) to each pixel position in real-time. This classification and display technique is especially valuable for guiding a person performing a needle biopsy of the prostate.