公开(公告)号：US10816538B2

公开(公告)日：2020-10-27

申请号：US16072423

申请日：2017-01-24

Applicant: Siemens Healthcare Diagnostics Inc.

Inventor： Stefan Kluckner ,  Yao-Jen Chang ,  Terrence Chen ,  Benjamin S. Pollack ,  Patrick Wissmann

IPC: G01N33/49 ,  G01N21/25 ,  G01N21/31 ,  G06T7/00

Abstract: A model-based method of inspecting a specimen for presence of an interferent (H, I, and/or L). The method includes capturing images of the specimen at multiple different exposures times and at multiple spectra having different nominal wavelengths, selection of optimally-exposed pixels from the captured images to generate optimally-exposed image data for each spectra, identifying a serum or plasma portion of the specimen, and classifying whether an interferent is present or absent within the serum or plasma portion. Testing apparatus and quality check modules adapted to carry out the method are described, as are other aspects.

公开(公告)号：US10746665B2

公开(公告)日：2020-08-18

申请号：US16072386

申请日：2017-01-24

Applicant: Siemens Healthcare Diagnostics Inc.

Inventor： Stefan Kluckner ,  Yao-Jen Chang ,  Terrence Chen ,  Benjamin S. Pollack

IPC: G06K9/00 ,  G01N21/90 ,  G06T7/00 ,  G06T7/143 ,  G01N35/00 ,  G06T7/77 ,  G06T7/174 ,  G01N21/88 ,  G01N35/10

Abstract: A model-based method of inspecting a specimen for presence of one or more artifacts (e.g., a clot, bubble, and/or foam). The method includes capturing multiple images of the specimen at multiple different exposures and at multiple spectra having different nominal wavelengths, selection of optimally-exposed pixels from the captured images to generate optimally-exposed image data for each spectra, computing statistics of the optimally-exposed pixels to generate statistical data, identifying a serum or plasma portion of the specimen, and classifying, based on the statistical data, whether an artifact is present or absent within the serum or plasma portion. Testing apparatus and quality check modules adapted to carry out the method are described, as are other aspects.

公开(公告)号：US10290090B2

公开(公告)日：2019-05-14

申请号：US15551570

申请日：2016-02-16

Applicant: Siemens Healthcare Diagnostics Inc.

Inventor： Yao-Jen Chang ,  Wen Wu ,  Guillaume Dumont ,  Benjamin Pollack ,  Terrence Chen

IPC: G06K9/00 ,  G06T7/00 ,  G06T7/12 ,  G06K9/32 ,  G06K9/46 ,  G06T7/11 ,  G06T7/13 ,  G06T7/60 ,  G06K9/62

Abstract: Embodiments provide a method of using image-based tube top circle detection that includes extracting, from one of a series of images of a tube tray, a region of interest (ROI) patch having a target tube top circle and boundaries constrained by two dimensional (2D) projections of different types of tube top circle centers. The method also includes calculating an edge gradient magnitude map of the ROI patch and constructing a three dimensional (3D) map of a circle parameter space, each location in the 3D map corresponding to a circle parameter having a center location and a diameter. The method further includes accumulating weighted votes in the 3D map from edge points in the edge gradient magnitude map along edge point gradient directions, determining locations in the 3D map as circle candidates based on the accumulated votes and selecting a target tube top circle based on the greatest accumulated votes.

公开(公告)号：US10140705B2

公开(公告)日：2018-11-27

申请号：US15317497

申请日：2015-06-10

Applicant: Siemens Healthcare Diagnostics Inc.

Inventor： Wen Wu ,  Yao-Jen Chang ,  David Liu ,  Benjamin Pollack ,  Terrence Chen

IPC: G06T7/00 ,  G05B21/00 ,  G01N21/952 ,  G01C11/06 ,  G06K9/62 ,  G06T7/80 ,  G05B21/02

Abstract: Methods and systems for detecting properties of sample tubes in a laboratory environment include a drawer vision system that can be trained and calibrated. Images of a tube tray captured by at least one camera are analyzed to extract image patches that allow a processor to automatically determine if a tube slot is occupied, if the tube has a cap, and if the tube has a tube top cup. The processor can be trained using a random forest technique and a plurality of training image patches. Cameras can be calibrated using a three-dimensional calibration target that can be inserted into the drawer.

公开(公告)号：US12299172B2

公开(公告)日：2025-05-13

申请号：US17755463

申请日：2020-10-22

Applicant: Siemens Healthcare Diagnostics Inc.

Inventor： Venkatesh NarasimhaMurthy ,  Vivek Singh ,  Yao-Jen Chang ,  Benjamin S. Pollack ,  Ankur Kapoor ,  Rayal Raj Prasad Nalam Venkat

IPC: G06F21/62 ,  G06T5/77 ,  G06T7/00 ,  G06T11/60

Abstract: A method of characterizing a specimen and specimen container to be analyzed in an automated diagnostic analysis system. The method can provide a segmentation determination and/or an HILN determination (hemolysis, icterus, lipemia, or normal) of the specimen while protecting patient information. The method includes capturing an image of a specimen container via an image capture device, identifying a label affixed to the specimen container in the captured image via an anonymization network, and editing the captured image via the anonymization network to mask some or all information present in the label so that it is removed from the captured image. Quality check modules and systems configured to carry out the method are also described, as are other aspects.

公开(公告)号：US20250061985A1

公开(公告)日：2025-02-20

申请号：US18723535

申请日：2023-03-02

Applicant: Siemens Healthcare Diagnostics Inc.

Inventor： Venkatesh NarasimhaMurthy ,  Vivek Singh ,  Yao-Jen Chang ,  Benjamin S. Pollack ,  Ankur Kapoor ,  Rayal Prasad

IPC: G16H10/40

Abstract: Diagnostic laboratory systems, methods of operating diagnostic laboratory systems, and methods of updating diagnostic laboratory systems are disclosed. A method of operating a diagnostic laboratory system includes identifying data in the system as identified data: identifying change in a data distribution of the identified data; aggregating data instances pertaining to the change in the data distribution; selecting a subset of the aggregated data to update a processing algorithm in the system; and updating the processing algorithm using the subset of the aggregated data. Other systems and methods are disclosed.

公开(公告)号：US20240230694A9

公开(公告)日：2024-07-11

申请号：US18546160

申请日：2022-02-10

Applicant: Siemens Healthcare Diagnostics Inc.

Inventor： Rayal Raj Prasad Nalam Venkat ,  Yao-Jen Chang ,  Benjamin S. Pollack ,  Ankur Kapoor

IPC: G01N35/00 ,  G01N35/04 ,  G06T7/00 ,  G06T7/60

CPC classification number: G01N35/00732 ,  G01N35/04 ,  G06T7/0012 ,  G06T7/60 ,  G06T7/97 ,  G01N2035/0406

Abstract: A method of determining a 3D center location of a specimen container on a track. The method includes providing a calibration object on the track; providing an initially calibrated image capture device adjacent to the track; moving the calibration object to at least two different longitudinal positions along the track; capturing a first image with the calibration object located at the first longitudinal position; capturing a second image with the calibration object located at the second longitudinal position; and determining a three-dimensional path trajectory of a center location along the track based at least upon the first image and the second image. The method can be used to determine a 3D center location of a specimen container imaged anywhere within a viewing area. Characterization apparatus and specimen testing apparatus adapted to carry out the methods are described, as are other aspects.

公开(公告)号：US20240169517A1

公开(公告)日：2024-05-23

申请号：US17755465

申请日：2020-10-22

Applicant: Siemens Healthcare Diagnostics Inc.

Inventor： Venkatesh NarasimhaMurthy ,  Vivek Singh ,  Yao-Jen Chang ,  Benjamin S. Pollack ,  Ankur Kapoor ,  Rayal Raj Prasad Nalam Venkat

IPC: G06T7/00 ,  G01N35/00 ,  G06F18/2431

CPC classification number: G06T7/0012 ,  G01N35/00613 ,  G06F18/2431 ,  G06T2207/20081

Abstract: A method of characterizing a specimen to be analyzed in an automated diagnostic analysis system provides a segmentation determination and/or an HILN (hemolysis, icterus, lipemia, normal) determination of the specimen while providing characterization training updates based on the accuracy and/or confidence in the determinations. The method includes identifying an incorrect or low confidence segmentation or HILN determination, forwarding the incorrect or low confidence determination from the HILN network to a database, and providing one or more training images to the HILN network based on the incorrect or low confidence determination. Quality check modules and systems configured to carry out the method are also described, as are other aspects.

公开(公告)号：US20240118300A1

公开(公告)日：2024-04-11

申请号：US18546163

申请日：2022-02-10

Applicant: Siemens Healthcare Diagnostics Inc.

Inventor： Yao-Jen Chang ,  Rayal Raj Prasad Nalam Venkat ,  Benjamin S. Pollack ,  Ankur Kapoor

IPC: G01N35/00 ,  B25J9/16 ,  B25J19/02

CPC classification number: G01N35/0099 ,  B25J9/1697 ,  B25J19/021

Abstract: Apparatus for robotic arm alignment in an automated sample analysis system includes a robotic arm, a sample tube carrier, a plurality of optical components (including, e.g., one or more cameras), and a controller. The controller is operative to process images received from the optical components to determine a first set of coordinates of a first marker relative to the sample tube carrier and determine a second set of coordinates of a second marker relative to the robotic arm. The controller is further operative to adjust the position of the robotic arm and/or the sample tube carrier in response to an excessive offset between the first and second sets of coordinates. In some embodiments, a positioning tool includes the first and second markers thereon. Methods of robotic arm alignment with a sample tube carrier in an automated sample analysis system are also provided, as are other aspects.

公开(公告)号：US11852642B2

公开(公告)日：2023-12-26

申请号：US17278285

申请日：2019-09-19

Applicant: Siemens Healthcare Diagnostics Inc.

Inventor： Venkatesh NarasimhaMurthy ,  Vivek Singh ,  Yao-Jen Chang ,  Benjamin S. Pollack ,  Ankur Kapoor

IPC: G06T7/00 ,  G01N35/00 ,  G06F18/2431 ,  G06V10/764 ,  G06V10/82

CPC classification number: G01N35/00732 ,  G06F18/2431 ,  G06T7/0014 ,  G06V10/764 ,  G06V10/82 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30024

Abstract: A method of characterizing a serum or plasma portion of a specimen in a specimen container provides an HILN (hemolysis, icterus, lipemia, normal) determination. Pixel data of an input image of the specimen container is processed by a classification network to identify whether the specimen contains plasma or serum. Pixel data representing a plasma sample are forwarded to a segmentation/classification/regression network trained with plasma samples for HILN determination. Pixel data representing a serum sample are forwarded to a transformation network, wherein the serum sample pixel data is transformed into pixel data that matches pixel data of a corresponding previously-collected plasma sample by changing sample color, contrast, intensity, and/or brightness. The transformed serum sample pixel data are forwarded to the segmentation/classification/regression network for HILN determination. Quality check modules and testing apparatus configured to carry out the method are also described, as are other aspects.