公开(公告)号：US20240193767A1

公开(公告)日：2024-06-13

申请号：US18412857

申请日：2024-01-15

Applicant: Jubilant Draximage Inc.

Inventor： Eric James Moulton ,  Robert A. DeKemp ,  Indranil Nandi ,  Chad Roger Ronald Nicholas Hunter

IPC: G06T7/00 ,  G06T7/11

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T2207/20084 ,  G06T2207/30101

Abstract: The present invention discloses methods for automatically computing an arterial input function from one or more regions of interest, the method comprising: a. obtaining a plurality of dynamic image data sets comprising volumetric image data from the regions of interest over multiple scanning intervals; b. utilizing an artificial neural network to segment the plurality of dynamic image data sets displaying one or more arterial input function(s) (AIF) in the region(s) of interest; c. automatically estimating, using artificial intelligence, an arterial input function based on plurality of dynamic image data sets combined with one or more time activity curves (TAC) in the region(s) of interest in target organ(s); and d. computing a pre-trained predictive pharmacokinetic AI model arterial input function using time activity curve input associated with region(s) of interest of target organ(s).

公开(公告)号：US12268547B2

公开(公告)日：2025-04-08

申请号：US18242131

申请日：2023-09-05

Applicant: Jubilant Draximage Inc.

Inventor： Eric James Moulton ,  Robert A. DeKemp ,  Indranil Nandi ,  Chad Roger Ronald Nicholas Hunter

IPC: A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  G06T5/70 ,  G06T7/00 ,  G06T11/00 ,  G06V10/25 ,  G06V10/82

Abstract: The present invention provides an image processing method to assess quantitative myocardial blood flow and/or myocardial flow reserve, comprising the steps of: (a) pre-processing of images comprises: (i) reconstructing dynamic cine 3D tomographic myocardial perfusion imaging (MPI) data, (ii) optionally, denoising to improve the quality of image, (iii) extracting blood input function from a region of interest (ROI) of the left ventricle blood cavity, (iv) estimating the distribution volume (DV), given by the ratio of uptake and washout rates (K1/k2) to stabilize and improve estimation of K1, k2 and total blood volume (TBV) and subsequent myocardial blood flow measures, and (v) data normalization by dividing by the maximum of the blood input function; (b) assessing the individual signals pre-processed in step (a) in order to generate K1 and TBV parametric maps using artificial neural network;
(c) post-processing of K1, k2 and TBV parametric maps; and of rest and stress myocardial blood flow to estimate myocardial flow reserve (MFR) and/or coronary flow reserve (CFR).

公开(公告)号：US20240237960A1

公开(公告)日：2024-07-18

申请号：US18562998

申请日：2022-06-10

Applicant: Jubilant Draximage Inc.

Inventor： Indranil Nandi ,  Norman LaFrance ,  Eric James Moulton

IPC: A61B6/50 ,  A61B6/03 ,  G16H20/17 ,  G16H40/67 ,  G16H50/20

CPC classification number: A61B6/504 ,  A61B6/037 ,  G16H20/17 ,  G16H40/67 ,  G16H50/20

Abstract: The present invention provides a method of diagnosing and/or treating a peripheral arterial disease (PAD) via Positron Emitting Tomography (PET) imaging technology. The invention provides artificial intelligence dose calculation, infusion or dose monitoring, image analysis, assessment and providing a severity score based on the image analysis and providing suitable therapy options for the subject diagnosed or at a risk of developing peripheral arterial disease.

公开(公告)号：US20240074721A1

公开(公告)日：2024-03-07

申请号：US18242131

申请日：2023-09-05

Applicant: Jubilant Draximage Inc.

Inventor： Eric James Moulton ,  Robert A. DeKemp ,  Indranil Nandi ,  Chad Roger Ronald Nicholas Hunter

IPC: A61B6/00 ,  A61B6/03 ,  G06T5/00 ,  G06T7/00 ,  G06T11/00 ,  G06V10/25 ,  G06V10/82

CPC classification number: A61B6/5217 ,  A61B6/037 ,  A61B6/507 ,  A61B6/5258 ,  G06T5/002 ,  G06T7/0012 ,  G06T11/005 ,  G06V10/25 ,  G06V10/82 ,  G06T2200/04 ,  G06T2207/10104 ,  G06T2207/20084 ,  G06T2207/30104 ,  G06T2211/441 ,  G06V2201/03

Abstract: The present invention provides an image processing method to assess quantitative myocardial blood flow and/or myocardial flow reserve, comprising the steps of: (a) pre-processing of images comprises: (i) reconstructing dynamic cine 3D tomographic myocardial perfusion imaging (MPI) data, (ii) optionally, denoising to improve the quality of image, (iii) extracting blood input function from a region of interest (ROI) of the left ventricle blood cavity, (iv) estimating the distribution volume (DV), given by the ratio of uptake and washout rates (K1/k2) to stabilize and improve estimation of K1, k2 and total blood volume (TBV) and subsequent myocardial blood flow measures, and (v) data normalization by dividing by the maximum of the blood input function; (b) assessing the individual signals pre-processed in step (a) in order to generate K1 and TBV parametric maps using artificial neural network;



(c) post-processing of K1, k2 and TBV parametric maps; and of rest and stress myocardial blood flow to estimate myocardial flow reserve (MFR) and/or coronary flow reserve (CFR).