Koninklijke Philips Corporation N.v.

Ganesan Ramachandran

Celine Firtion

Pallavi Vajinepalli

John Petruzzello

Ajay Anand

Rajendra Singh Sisodia

Lalit Gupta

Sindhu Priyadarshini Nellur Prakash

Anumod Odungattu Thodiyil

Sanjay Ramachandra Hegde

Cecile Dufour

Shiwei Zhou

Alberto Fazzi

Subhendu Seth

Vishnu Vardhan Makkapati

Jeroen Veen

Stéphane Allaire

Srikanth Shettigar

Navaneetha Krishnan Santhana Naidu

Ishank Jain

Rishab Padukone

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.

Intelligent ultrasound-based fertility monitoring

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

Device and method for detecting misuse of a medical imaging system

Disclosed is a computer-implemented method for determining an ovarian follicle count and size (diameter) from a pair of 2-D transvaginal ultrasound scans. The method comprises receiving the pair of 2-D (two-dimensional) transvaginal ultrasound scans, each scan comprising a plurality of 2-D ultrasound images captured along a translation direction of an ultrasound probe used to capture said scan, the respective translation directions being at least approximately orthogonal, and for each of said scans, the method further comprising detecting candidate follicles in the plurality of 2-D ultrasound images of the at least one 2-D transvaginal ultrasound scan; and segmenting the detected candidate follicles to determine an average diameter for each candidate follicle; selecting the 2-D transvaginal ultrasound scan including the candidate follicle having the largest average diameter; and presenting the determined average diameters and the segmentations of the detected candidate follicles of the selected 2-D transvaginal ultrasound scan. A computer program product, ultrasound image processing device and ultrasound imaging system adapted to implement this method are also disclosed.

Ovarian follicle count and size determination using transvaginal ultrasound scans

Disclosed is an ultrasound device for measuring blood flow velocity in a blood vessel of a subject without imaging functionality in the device. The measurement depends upon reflections of a collimated beam of ultrasound from a subject's body part. Received electrical signals representative of the reflected ultrasound energy is used for generating a representation of blood flow at a plurality of predetermined locations in the volume and calculating a first blood flow velocity at each of the locations. The representation of flow is used for delineating the blood flow in the blood vessel in the volume. An angle calculating unit calculates the Doppler angle between the direction of the radiated collimated beam in the delineated blood flow at each point. A velocity calculator calculates a second blood flow velocity at the plurality of points based on the calculated first velocities and the calculated angle at the point.

Method and apparatus for automated ultrasonic doppler angle and flow velocity estimation

A system and method to control oxygen supply uses determinations whether physiological sensors and/or a subject interface appliance have been displaced in relation to a subject and/or there has been movement of the subject itself. Artifacts that may reduce the accuracy of measurements of physiological parameters, in particular related to a level of arterial oxygen saturation, may be detected through determinations pertaining to sensor displacement, displacement of the subject interface appliance and/or movement of the subject.

Control of neonatal oxygen supply with artifact detection

A device is configured for interrogating a blood vessel to derive flow characteristics (S) and for, responsive to the deriving and based on the derived characteristics, anatomically identifying the vessel. A spatial map of the vessels may be generated based on the interrogating, and specifically the Doppler power computed from data acquired in the interrogating. Subsequent interrogating (S) may occur, based on the map and on a user-selected set of vessels and/or vessel categories, to derive clinical Doppler indices. The device can be designed to automatically set a sample volume () for the subsequent interrogating, and to operate automatically from the user selection to display of the indices. The display may further include an image () of the vessels summoned by the set, annotated by their individual anatomical names, and optionally a diagnosis relating to blood flow. The displayed image may be enlarged to zoom in on the user's onscreen selection. The device may feature a two-dimensional ultrasound non-phased array of transducer elements.

Automatic blood vessel identification by name

A device images time-wise in parallel using transducer elements of a group. The elements are of a current group and imaging is time-wise sequential by group. The groups may be spatially disposed with respect to each other so as to mutually intermesh element-wise. The imaging may include volumetric imaging. The device may be configured for not collectively using any of the elements to focus, nor to steer, a beam used in the imaging. The device may further be operable to transition between spacing states at least one of which is characterized by a respective minimum, nonzero, degree of intra-group, element-to-element non-adjacency, or may be fixed at a selected spacing state. The transitioning may be automatic, in response to input indicative of blood vessel size and/or depth.

Excitation schemes for low-cost transducer arrays

Systems and methods for air purification within an incubator using germicidal irradiation from an ultra-violet (UV) light source that is integrated in a path from ambient air into the cavity of an incubator.

Growing community of inventors

Bengaluru, India

Ganesan Ramachandran