公开(公告)号：US11806182B2

公开(公告)日：2023-11-07

申请号：US17270224

申请日：2019-08-13

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Andriy Andreyev ,  Douglas B. McKnight ,  Nathan Serafino ,  Dane Pittock ,  Chuanyong Bai ,  Chi-Hua Tung

IPC: A61B6/00 ,  G16H50/30 ,  A61B6/04

CPC classification number: A61B6/501 ,  A61B6/04 ,  A61B6/4057 ,  A61B6/4258 ,  A61B6/5217 ,  G16H50/30

Abstract: A device (10) for performing an amyloid assessment includes a radiation detector assembly (12) including at least one radiation detector (14). At least one electronic processor (20) is programmed to: detect radiation counts over a data acquisition time interval using the radiation detector assembly; compute at least one current count metric from the detected radiation counts; store the at least one current count metric associated with a current test date in a non-transitory storage medium (26); and determine an amyloid metric based on a comparison of the at least one current count metric with a count metric stored in the non-transitory storage medium associated with an earlier test date.

公开(公告)号：US11354832B2

公开(公告)日：2022-06-07

申请号：US16609890

申请日：2018-05-01

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Chuanyong Bai ,  Andriy Andreyev ,  Xiyun Song ,  Jinghan Ye ,  Bin Zhang ,  Shekhar Dwivedi ,  Yanfei Mao ,  Zhiqiang Hu

IPC: G06T11/00 ,  G06T5/50 ,  G06T7/00

Abstract: A non-transitory computer readable medium storing instructions readable and executable by an imaging workstation (14) including at least one electronic processor (16) to perform a dataset generation method (100) operating on emission imaging data acquired of a patient for one or more axial frames at a corresponding one or more bed positions, the method comprising: (a) identifying a frame of interest from the one or more axial frames; (b) generating simulated lesion data by simulating emission imaging data for the frame of interest of at least one simulated lesion placed in the frame of interest; (c) generating simulated frame emission imaging data by simulating emission imaging data for the frame of interest of the patient; (d) determining a normalization factor comprising a ratio of the value of a quantitative metric for the simulated patient data and the value of the quantitative metric for the emission imaging data acquired of the same patient for the frame of interest; and (e) generating a hybrid data set comprising the emission imaging data acquired of the patient for the one or more axial frames at the corresponding one or more bed positions with the frame of interest replaced by a combination of the simulated lesion data scaled by the normalization factor and the emission imaging data acquired of the patient for the frame of interest.

公开(公告)号：US11311263B2

公开(公告)日：2022-04-26

申请号：US16768065

申请日：2018-11-26

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Chuanyong Bai ,  Andriy Andreyev

IPC: A61B6/00 ,  G01N23/04 ,  G16H30/20 ,  A61B6/03 ,  G06T11/00

Abstract: A non-transitory computer-readable medium stores instructions executable by a processor to perform an acquisition and reconstruction method for a first image acquisition device. The method includes determining a scheduled acquisition time based on an attenuation map derived from imaging data from a second image acquisition device and a sensitivity matrix of the first image acquisition device; acquiring emission imaging data using the first image acquisition device, where the acquiring is scheduled to be performed over the scheduled acquisition time; during an initial portion of the acquiring, measuring a count or count rate of the acquired emission imaging data; adjusting the scheduled acquisition time based on the measured count or count rate to generate an adjusted acquisition time while continuing the acquiring; stopping the acquiring at the adjusted acquisition time; and reconstructing the emission imaging data acquired over the adjusted acquisition time to generate one or more reconstructed images.

公开(公告)号：US11282242B2

公开(公告)日：2022-03-22

申请号：US16963343

申请日：2019-01-24

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Jinghan Ye ,  Xiyun Song ,  Chuanyong Bai ,  Andriy Andreyev ,  Chi-Hua Tung ,  Zhiqiang Hu

IPC: G06T11/00

Abstract: A non-transitory computer-readable medium stores instructions readable and executable by a workstation (18) including at least one electronic processor (20) to perform an image reconstruction method (100). The method includes: generating, from received imaging data, a plurality of intermediate images reconstructed without scatter correction from data partitioned into different energy windows; generating a fraction of true counts and a fraction of scatter events in the generated intermediate images; generating a final reconstructed image from the intermediate images, the fraction of true counts in the intermediate images, and the fraction of scatter counts in the intermediate images; and at least one of controlling the non-transitory computer readable medium to store the final image and control a display device (24) to display the final image.

公开(公告)号：US11073628B2

公开(公告)日：2021-07-27

申请号：US16610508

申请日：2018-05-04

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Leonid Romanov ,  Andriy Andreyev ,  Thomas Christoher Bulgrin

IPC: G01T7/00 ,  A61B6/00 ,  A61B6/03 ,  G01T1/29 ,  G06T11/00 ,  G01T1/172

Abstract: Timing calibration of a positron emission tomography (PET) imaging device (2) uses a radioactive source (20) comprising a positron-emitting radioisotope having a decay path including emission of two oppositely directed 511 keV gamma rays and a cascade gamma ray at a cascade gamma ray energy. A timestamped radiation detection event data set acquired from the radioactive source by the PET imaging device is processed using energy window filtering (32) and time window filtering (36) to generate a coincidence data set (40, 42, 44) including event pairs (40) each consisting of two coincident 511 keV events and cascade event pairs (42) or triplets (44) each consisting of at least one coincident 511 keV event and a coincident cascade event at the cascade gamma ray energy. A timing calibration (12) is generated using the coincidence data set. The timing calibration comprises offset times for PET detectors of the PET imaging device.

公开(公告)号：US11069098B2

公开(公告)日：2021-07-20

申请号：US16461121

申请日：2017-11-22

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Shekhar Dwivedi ,  Andriy Andreyev ,  Chuanyong Bai ,  Chi-Hua Tung

IPC: A61B6/03 ,  G06T11/00

Abstract: An imaging data set (22) comprising detected counts along lines of response (LORs) is reconstructed (24) to generate a full-volume image at a standard resolution. A region selection graphical user interface (GUI) (26) is provided via which a user-chosen region of interest (ROI) is defined in the full-volume image, and this is automatically adjusted by identifying an anatomical feature corresponding to the user-chosen ROI and adjusting the user-chosen ROI to improve alignment with that feature. A sub-set (32) of the counts of the imaging data set is selected (30) for reconstructing the ROI, and only the selected sub-set is reconstructed (34) to generate a ROI image (36) representing the ROI at a higher resolution than the standard resolution. A fraction of the sub-set of counts may be reconstructed using different reconstruction algorithms (40) to generate corresponding sample ROI images, and a reconstruction algorithm selection graphical user interface (42) employs these sample ROI images.

公开(公告)号：US10993103B2

公开(公告)日：2021-04-27

申请号：US16474113

申请日：2018-01-02

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Chuanyong Bai ,  Andriy Andreyev ,  Bin Zhang ,  Xiyun Song ,  Jinghan Ye ,  Zhiqiang Hu

IPC: G06T7/00 ,  G06T11/00 ,  G16H30/40 ,  H04W8/14 ,  H04L29/08 ,  H04W8/00 ,  H04W92/20 ,  H04L29/12 ,  G06T7/13 ,  H04W12/00 ,  H04L29/06 ,  H04W8/26 ,  H04W88/08

Abstract: In positron emission tomography (PET) imaging, PET imaging data (22) having TOF localization is reconstructed. TOF image reconstruction (30) is performed on the PET imaging data to produce a TOF reconstructed image (32). The TOF image reconstruction utilizes the TOF localization of the PET imaging data. Non-TOF image reconstruction (40) is also performed on the PET imaging data to produce a non-TOF reconstructed image (42). The non-TOF image reconstruction does not utilize the TOF localization of the PET imaging data. A comparison image (50) is computed which is indicative of differences between the TOF reconstructed image and the non TOF reconstructed image. An adjustment (54) is determined for the TOF image reconstruction based on the comparison image, such as alignment correction of an attenuation map (18), and the TOF image reconstruction is repeated on the PET imaging data with the determined adjustment to produce an adjusted TOF reconstructed image.