Abstract: An ultrasonic diagnostic imaging system has an array probe for acquiring a 3D image dataset of a subject. Volume rendering is performed to produce a volume image of the subject, and MPR reconstruction is performed to produce three orthogonal 2D images of the subject. The point of intersection of the three 2D image planes is locationally marked by a crosshair or other graphic in each 2D image. The corresponding location in the volume image is marked with a virtual light source which illuminates the interior of the 3D volume and is positionally linked to the location markers in the MPR images.

Abstract: An ultrasonic diagnostic imaging system has an array probe for acquiring a 3D image dataset of a subject. Volume rendering is performed to produce a volume image of the subject, and MPR reconstruction is performed to produce three orthogonal 2D images of the subject. The point of intersection of the three 2D image planes is locationally marked by a crosshair or other graphic in each 2D image. The corresponding location in the volume image is marked with a virtual light source which illuminates the interior of the 3D volume and is positionally linked to the location markers in the MPR images.

Abstract: Ultrasound systems and methods provide a workflow to automatically identify a fetal heartbeat. A region of interest (ROI) is identified in an ultrasound image and an ROI icon is positioned around or over a fetal pole and/or fetal heart. The ultrasound system produces spatially different M-mode lines associated with the ROI icon. The ultrasound system can identify a fetal heartbeat and estimate the fetal heart rate from echo signals received from echo signals associated with at least one of the spatially different M-mode lines. The echo signals for the M-mode lines can also be ranked according to the likely presence of a fetal heartbeat in the echo data.

Abstract: Ultrasound systems and methods provide a workflow to automatically identify a fetal heartbeat. A region of interest (ROI) is identified in an ultrasound image and an ROI icon is positioned around or over a fetal pole and/or fetal heart. The ultrasound system produces spatially different M-mode lines associated with the ROI icon. The ultrasound system can identify a fetal heartbeat and estimate the fetal heart rate from echo signals received from echo signals associated with at least one of the spatially different M-mode lines. The echo signals for the M-mode lines can also be ranked according to the likely presence of a fetal heartbeat in the echo data.

Abstract: Ultrasound systems and methods provide a workflow to automatically identify a fetal heartbeat. A region of interest (ROI) is identified in an ultrasound image and an ROI is identified that contains the fetal heart. The ultrasound system produces spatially different M-mode lines associated with the ROI. The ultrasound system can identify a fetal heartbeat by tracking the changing position of the heart wall and estimate the fetal heart rate, e.g. by measuring from peak-to-peak of two subsequent waves. The echo signals for the M-mode lines can also be ranked according to the likely presence of a fetal heartbeat in the echo data.

Abstract: Ultrasound systems and methods provide a workflow to automatically identify a fetal heartbeat. A region of interest (ROl) is identified in an ultrasound image and an ROl is identified that contains the fetal heart. The ultrasound system produces spatially different M-mode lines associated with the ROl. The ultrasound system can identify a fetal heartbeat by tracking the changing position of the heart wall and estimate the fetal heart rate, e.g. by measuring from peak-to-peak of two subsequent waves. The echo signals for the M-mode lines can also be ranked according to the likely presence of a fetal heartbeat in the echo data.