公开(公告)号：US20250127479A1

公开(公告)日：2025-04-24

申请号：US18572466

申请日：2022-06-22

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Soumabha Bhowmick ,  Karthik Krishnan ,  Karthik Raj Katipally ,  Giridhar Narasapura Rajagopalaiah ,  Celine Firtion ,  Subhendu Seth ,  Pallavi Vajinepalli ,  David Nigel Roundhill ,  Matthew Rielly

IPC: A61B8/02 ,  A61B8/00 ,  A61B8/08

Abstract: A mechanism for automatically generating and ranking M-mode lines for generating or defining M-mode data usable to assess fetal heart activity, e.g. determine a fetal heart rate. A region of interest, containing a fetal heart, in a sequence of ultrasound images is identified. The region of interest is used to define the position of each of a plurality of M-mode lines, e.g. anatomical M-mode lines. A quality measure of each M-mode line is determined based on M-mode data generated for each M-mode line, and the quality measures are then used to rank the M-mode lines.

公开(公告)号：US12277718B2

公开(公告)日：2025-04-15

申请号：US17915183

申请日：2021-03-24

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Karthik Krishnan ,  Celine Firtion ,  Subhendu Seth ,  Pallavi Vajinepalli ,  David Nigel Roundhill

IPC: G06T7/30 ,  A61B8/00 ,  A61B8/08 ,  G06T3/10 ,  G06T7/00

Abstract: A computer-implemented method for visualization of an elongated anatomical structure (20), for example of a fetal spine using ultrasound is provided. The method comprising the steps of: receiving a plurality of 3D ultrasound image volumes, each image volume depicting at least a portion of an elongated anatomical structure (20); on each 3D ultrasound image volume, automatically or semi-automatically fitting a parametric curve (30) to the depicted portion of the elongated anatomical structure, the parametric curve being defined by curve parameters; reformatting each 3D ultrasound image volume by applying a transformation which straightens the parametric curve along at least one axis, so as to generate a plurality of reformatted image volumes and reformatted parametric curves (32, 34); registering the reformatted image volumes with one another by determining the joining point of their respective parametric curves; and fusing the reformatted image volumes with one another to yield a fused image depicting the whole elongated anatomical structure or a larger portion thereof than the 3D ultrasound image volumes.

公开(公告)号：US11666306B2

公开(公告)日：2023-06-06

申请号：US16635398

申请日：2018-07-27

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Sanjay Ramachandra Hegde ,  Pallavi Vajinepalli ,  Ganesan Ramachandran ,  Subhendu Seth ,  Ishank Jain ,  Srikanth Shettigar ,  Anumod Odungattu Thodiyil ,  Sindhu Priyadarshini Nellur Prakash ,  Celine Firtion

IPC: A61B8/08 ,  G16H10/60 ,  G16H30/40 ,  G16H40/63 ,  A61B8/00

CPC classification number: A61B8/0866 ,  A61B8/085 ,  A61B8/5223 ,  A61B8/565 ,  G16H10/60 ,  G16H30/40 ,  G16H40/63

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).

公开(公告)号：US11534623B2

公开(公告)日：2022-12-27

申请号：US16496505

申请日：2018-03-05

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Subhendu Seth ,  Pallavi Vajinepalli ,  Achyuta Aich

IPC: A61N5/10 ,  G06T7/143 ,  G06T7/00

Abstract: The present invention relates to a device (2) and a method (100) for determining at least one final two-dimensional image or slice for visualizing an object of interest in a three-dimensional ultrasound volume. The method (100) for determining at least one final two-dimensional image, the method comprises the steps: a) providing (101) a three-dimensional image of a body region of a patient body, wherein an applicator configured for fixating at least one radiation source is inserted into the body region; b) providing (102) an initial direction, in particular by randomly determining the initial direction within the three-dimensional image; c) repeating (103) the following sequence of steps s1) to s4): s1) determining (104), via a processing unit, a set-direction within the three-dimensional image based on the initial direction for the first sequence or based on a probability map determined during a previous sequence; s2) extracting (105), via the processing unit, an image-set of two-dimensional images from the three-dimensional image, such that the two-dimensional images of the image-set are arranged coaxially and subsequently in the set-direction; s3) applying (106), via the processing unit, an applicator pre-trained classification method to each of the two-dimensional images of the image-set resulting in a probability score for each of the two-dimensional images of the image-set indicating a probability of the applicator being depicted, in particular fully depicted, in the respective two-dimensional image of the image-set in a cross-sectional view; and s4) determining (107), via the processing unit, a probability-map representing the probability scores of the two-dimensional images of the image-set with respect to the set-direction; wherein the method comprises the further step: d) determining (108), via a processing unit and after finishing the last sequence, the two-dimensional image associated with the highest probability score, in particular from the image-set determined during the last sequence, as the final two-dimensional image. The invention provides an efficient way to ensure that the ultrasound volume has the required clinical information by providing the necessary scan planes having the object of interest e.g. the applicator (6) in a three-dimensional ultrasound volume.

公开(公告)号：US12023202B2

公开(公告)日：2024-07-02

申请号：US17436713

申请日：2020-03-06

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Subhendu Seth ,  Celine Firtion ,  Pallavi Vajinepalli ,  David Nigel Roundhill

IPC: A61B8/08 ,  A61B8/00 ,  G06N20/00

CPC classification number: A61B8/5253 ,  A61B8/469 ,  A61B8/483 ,  A61B8/5223 ,  A61B8/5276 ,  G06N20/00

Abstract: The invention provides for a method of obtaining a composite 3D ultrasound image of a region of interest. The method includes obtaining preliminary ultrasound data from a region of interest of a subject and identifying an anatomical feature within the region of interest based on the preliminary ultrasound data. A first imaging position and one or more additional imaging positions are then determined based on the anatomical feature. A first 3D ultrasound image is obtained from the first imaging position and one or more additional 3D ultrasound images are obtained from the one or more additional imaging positions, wherein a portion of the first 3D ultrasound image overlaps a portion of the one or more additional 3D ultrasound images, thereby forming an overlapping portion comprising the anatomical feature. Spatial registration is performed between the first 3D ultrasound image and the one or more additional 3D ultrasound images based on the anatomical feature the 3D ultrasound images are then blended based on the spatial registration, thereby generating a composite 3D ultrasound image.

公开(公告)号：US20160328845A1

公开(公告)日：2016-11-10

申请号：US15109154

申请日：2014-12-17

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Subhendu Seth ,  Pallavi Vajinepalli ,  Payal Keswarpu

IPC: G06T7/00 ,  A61M5/00 ,  A61B5/00

CPC classification number: G06T7/0012 ,  A61B5/0059 ,  A61B5/4331 ,  A61B2576/00 ,  A61M5/007 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/30096

Abstract: The invention relates to a method and an apparatus for cervical image analysis, wherein a transformation zone is identified in an acetic acid image by registering with its Lugol's iodine counterpart. Then, regions in the transformation zone which show significant changes in whiteness are identified as aceto-white regions and registered with the corresponding Lugol's iodine image, and it is determined if the identified regions in the Lugol's iodine image are iodine negative or positive. Based thereon, the aceto-white region can be categorized as one of metaplasia, inflammation or premalignant lesion region.

Abstract translation: 本发明涉及一种用于颈部图像分析的方法和装置，其中通过与其Lugol碘对应物配准在乙酸图像中鉴定转化区。 然后，显示白度显着变化的转化区的区域被鉴定为乙酰白色区域并且与相应的卢戈碘图像一起登记，并且确定Lugol碘图像中的鉴定区域是碘阴性还是阳性。 基于此，乙酰白区可以分为化化，炎症或恶化前病变区之一。

公开(公告)号：US12283052B2

公开(公告)日：2025-04-22

申请号：US17792013

申请日：2021-01-12

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Soumabha Bhowmick ,  Subhendu Seth ,  Karthik Krishnan ,  Celine Firtion ,  Pallavi Vajinepalli

IPC: G06T7/10 ,  G06T7/00 ,  G06T7/11 ,  G06T7/70 ,  G06V10/25 ,  G06V10/26 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82

Abstract: The invention relates to a computer-implemented method for automatically detecting anatomical structures (3) in a medical image (1) of a subject, the method comprising applying an object detector function (4) to the medical image, wherein the object detector function performs the steps of: (A) applying a first neural network (40) to the medical image, wherein the first neural network is trained to detect a first plurality of classes of larger-sized anatomical structures (3a), thereby generating as output the coordinates of at least one first bounding box (51) and the confidence score of it containing a larger-sized anatomical structure; (B) cropping (42) the medical image to the first bounding box, thereby generating a cropped image (11) containing the image content within the first bounding box (51); and (C) applying a second neural network (44) to the cropped medical image, wherein the second neural network is trained to detect at least one second class of smaller-sized anatomical structures (3b), thereby generating as output the coordinates of at least one second bounding box (54) and the confidence score of it containing a smaller-sized anatomical structure.

公开(公告)号：US20240366187A1

公开(公告)日：2024-11-07

申请号：US18689171

申请日：2022-09-06

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Nitesh Kaushal ,  Karthick Raja ,  Kothawala Aliarshad Aameer ,  Karthik Krishnan ,  Subhendu Seth ,  Pallavi Vajinepalli ,  Earl M. Canfield

IPC: A61B8/08 ,  A61B8/00

Abstract: A mechanism for defining a set of preset parameter values for an ultrasound imaging system. Information about local machine-learning models, generated by a plurality of ultrasound imaging systems and updated responsive to operator feedback, is provided to an external server. The external server generates a global machine-learning model based on this information, which is then used to update the local machine-learning model on target ultrasound imaging systems.

公开(公告)号：US20230124879A1

公开(公告)日：2023-04-20

申请号：US17915183

申请日：2021-03-24

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Karthik Krishnan ,  Celine Firtion ,  Subhendu Seth ,  Pallavi Vajinepalli ,  David Nigel Roundhill

IPC: G06T7/30 ,  A61B8/08 ,  A61B8/00 ,  G06T3/00 ,  G06T7/00

Abstract: A computer-implemented method for visualization of an elongated anatomical structure (20), for example of a fetal spine using ultrasound is provided. The method comprising the steps of: receiving a plurality of 3D ultrasound image volumes, each image volume depicting at least a portion of an elongated anatomical structure (20); on each 3D ultrasound image volume, automatically or semi-automatically fitting a parametric curve (30) to the depicted portion of the elongated anatomical structure, the parametric curve being defined by curve parameters; reformatting each 3D ultrasound image volume by applying a transformation which straightens the parametric curve along at least one axis, so as to generate a plurality of reformatted image volumes and reformatted parametric curves (32, 34); registering the reformatted image volumes with one another by determining the joining point of their respective parametric curves; and fusing the reformatted image volumes with one another to yield a fused image depicting the whole elongated anatomical structure or a larger portion thereof than the 3D ultrasound image volumes.

公开(公告)号：US20230038364A1

公开(公告)日：2023-02-09

申请号：US17792013

申请日：2021-01-12

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Soumabha Bhowmick ,  Subhendu Seth ,  Karthik Krishnan ,  Celine Firtion ,  Pallavi Vajinepalli

IPC: A61B8/00 ,  G06V10/22 ,  G06V10/764 ,  G06T7/00 ,  G06T7/11 ,  G06V10/82 ,  G06T7/70 ,  G06V10/774 ,  A61B8/08

Abstract: The invention relates to a computer-implemented method for automatically detecting anatomical structures (3) in a medical image (1) of a subject, the method comprising applying an object detector function (4) to the medical image, wherein the object detector function performs the steps of: (A) applying a first neural network (40) to the medical image, wherein the first neural network is trained to detect a first plurality of classes of larger-sized anatomical structures (3a), thereby generating as output the coordinates of at least one first bounding box (51) and the confidence score of it containing a larger-sized anatomical structure; (B) cropping (42) the medical image to the first bounding box, thereby generating a cropped image (11) containing the image content within the first bounding box (51); and (C) applying a second neural network (44) to the cropped medical image, wherein the second neural network is trained to detect at least one second class of smaller-sized anatomical structures (3b), thereby generating as output the coordinates of at least one second bounding box (54) and the confidence score of it containing a smaller-sized anatomical structure.