Abstract: A system employs an interventional tool (30), ultrasound imaging system and a multi-planar reformatting module (40). The interventional tool (30) has one or more image tracking points (31). The ultrasound imaging system includes an ultrasound probe (20) operable for generating an ultrasound volume image (22) of a portion or an entirety of the interventional tool (30) within an anatomical region. The multi-planar reformatting imaging module (40) generates two or more multi- planar reformatting images (41) of the interventional tool (30) within the anatomical region. A generation of the two multi-planar reformatting images (41) includes an identification of each image tracking point (31) within the ultrasound volume image (22), and a utilization of each identified image tracking point (31) as an origin of the multi-planar reformatting images (41).

Abstract: A classification-based medical image segmentation apparatus includes an ultrasound image acquisition device configured for acquiring, from ultrasound, an image depicting a medical instrument such as needle; and machine-learning-based-classification circuitry configured for using machine-learning-based-classification to, dynamically responsive to the acquiring, segment the instrument by operating on information (212) derived from the image. The segmenting can be accomplished via statistical boosting (220) of parameters of wavelet features. Each pixel (216) of the image is identified as “needle” or “background.” The whole process of acquiring an image, segmenting the needle, and displaying an image with a visually enhanced and artifact-free needle-only overlay may be performed automatically and without the need for user intervention.

Abstract: A system employs an interventional tool (30), ultrasound imaging system and a multi-planar reformatting module (40). The interventional tool (30) has one or more image tracking points (31). The ultrasound imaging system includes an ultrasound probe (20) operable for generating an ultrasound volume image (22) of a portion or an entirety of the interventional tool (30) within an anatomical region. The multi-planar reformatting imaging module (40) generates two or more multi- planar reformatting images (41) of the interventional tool (30) within the anatomical region. A generation of the two multi-planar reformatting images (41) includes an identification of each image tracking point (31) within the ultrasound volume image (22), and a utilization of each identified image tracking point (31) as an origin of the multi-planar reformatting images (41).