Abstract: The present disclosure describes ultrasound imaging systems and methods configured to identify ovarian follicles by applying a neural network to pre-processed ultrasound image frames. Systems may include an ultrasound transducer configured to acquire echo signals responsive to ultrasound pulses transmitted toward a target region. One or more processors communicatively coupled with the ultrasound transducer may be configured to generate at least one image from the ultrasound echoes. A threshold may be applied to the image frame that differentiates pixels representative of an ovarian follicle present in the target region from other subject matter. The processors may apply a neural network to the thresholded image frame, in which the neural network determines the presence of the ovarian follicle in the thresholded image frame. The processors also may generate an indicator based on the presence of the ovarian follicle and display the indicator on a user interface.

Abstract: The present invention relates to a device (10) for detecting a misuse of a medical imaging system (20), comprising a data interface (12) for acquiring medical image data (24) and audit log data (26) from the medical imaging system (20); a processing unit (14) which is configured to configured to analyse the medical image data (24) to determine whether or not a part of a fetus is imaged in the medical image data (24), to compare the medical image data (24) and the audit log data (26) with each other, and to determine based on said comparison whether there is a mismatch between the medical image data (24) and the audit log data (26); and a feedback unit (16) which is configured to generate a misuse alert signal if a mismatch is detected by the processing unit (14).

Abstract: Disclosed is a computer-implemented method for determining an ovarian follicle count and size (diameter) from a pair of 2-D transvaginal ultrasound scans.

Abstract: Peripheral oedema causes a swelling of the legs of a patient due to an abnormal accumulation of fluids in the interstitium of the patient. Oedema is directly related to heart diseases, kidney and liver problems and pathological conditions. As such, is a useful indicator of a person's overall health. Oedema is typically assessed by a subjective manual test administered by a medical professional. As such, an objective assessment of oedema is often difficult to make. The present disclosure concerns a device for tissue condition measurement. The device enables an objective assessment of oedema to be made, by providing to a medical professional, or a medical ancillary worker, with information useful to judge the presence of oedema.

Abstract: The present disclosure describes ultrasound imaging systems and methods configured to identify ovarian follicles by applying a neural network to pre-processed ultrasound image frames. Systems may include an ultrasound transducer configured to acquire echo signals responsive to ultrasound pulses transmitted toward a target region. One or more processors communicatively coupled with the ultrasound transducer may be configured to generate at least one image from the ultrasound echoes. A threshold may be applied to the image frame that differentiates pixels representative of an ovarian follicle present in the target region from other subject matter. The processors may apply a neural network to the thresholded image frame, in which the neural network determines the presence of the ovarian follicle in the thresholded image frame. The processors also may generate an indicator based on the presence of the ovarian follicle and display the indicator on a user interface.

Abstract: The present invention relates to a device (10) for detecting a misuse of a medical imaging system (20), comprising a data interface (12) for acquiring medical image data (24) and audit log data (26) from the medical imaging system (20); a processing unit (14) which is configured to configured to analyse the medical image data (24) to determine whether or not a part of a fetus is imaged in the medical image data (24), to compare the medical image data (24) and the audit log data (26) with each other, and to determine based on said comparison whether there is a mismatch between the medical image data (24) and the audit log data (26); and a feedback unit (16) which is configured to generate a misuse alert signal if a mismatch is detected by the processing unit (14).

Abstract: Disclosed is a computer-implemented method (200) for determining an ovarian follicle count and size (diameter) from a pair of 2-D transvaginal ultrasound scans.

Abstract: Peripheral oedema causes a swelling of the legs of a patient due to an abnormal accumulation of fluids in the interstitium of the patient. Oedema is directly related to heart diseases, kidney and liver problems and pathological conditions. As such, is a useful indicator of a person's overall health. Oedema is typically assessed by a subjective manual test administered by a medical professional. As such, an objective assessment of oedema is often difficult to make. The present disclosure concerns a device for tissue condition measurement. The device enables an objective assessment of oedema to be made, by providing to a medical professional, or a medical ancillary worker, with information useful to judge the presence of oedema.