Abstract: Embodiments of the present invention provide for assessing the state of an 82Rb elution system. In certain embodiments, a system begins an assessment that comprises an elution, and a metric may be measured. This metric may be a concentration of 82Rb, 82Sr, or 85Sr in a fluid that is eluted from the generator, the volume of the fluid that is eluted from the generator, or the pressure of the fluid flowing through at least one portion of the system. If the assessment is completed, an output may be generated on a user interface that recommends a course of action, or no course of action, based on a result of the assessment. Should the assessment not complete successfully because it is interrupted, a 82Sr/82Rb generator of the system may be halted so as to prevent a user from performing an end-run around these quality control mechanisms of the 82Rb elution system.

Abstract: Embodiments of the present invention provide for assessing the state of an 82Rb elution system. In certain embodiments, a system begins an assessment that comprises an elution, and a metric may be measured. This metric may be a concentration of 82Rb, 82Sr, or 85Sr in a fluid that is eluted from the generator, the volume of the fluid that is eluted from the generator, or the pressure of the fluid flowing through at least one portion of the system. If the assessment is completed, an output may be generated on a user interface that recommends a course of action, or no course of action, based on a result of the assessment. Should the assessment not complete successfully because it is interrupted, a 82Sr/82Rb generator of the system may be halted so as to prevent a user from performing an end-run around these quality control mechanisms of the 82Rb elution system.

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).

Abstract: Disclosed are methods of radioisotope infusion comprising infusing saline comprising a diagnostic dose of a radioisotope, and delivering a pre-measured volume of push saline. The radioisotope may be 82Rb, 15O, 13N, 11C or 18F. The radioisotope is infused in the subject for imaging of the heart using Positron Emission Tomography imaging. The methods confer improved image quality with low background noise, higher signal to noise ratio (SNR) and higher contrast to noise ratio (CNR), leading to better diagnosis and thus eliminating the need of repeating the infusion and imaging which in turn reduces exposure of a patient to radiation.

Abstract: The 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) 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 (

Abstract: Provided are 82Sr/82Rb elution systems that accept patient weight as a input function in order to determine an optimal quantity of radioactive rubidium-82 for delivery to a patient pursuant to an imaging scan. Also disclosed are systems that deliver a saline flush to remove residual 82Rb from the system downstream of the generator, and preferably deliver the removed residual 82Rb to the patient. Other disclosed systems measure the total volume of saline that flows through a 82Sr/82Rb generator, a total volume of saline that flows through the generator and through a bypass line, or a total volume of saline received by a waste reservoir, in order to monitor system components so that optimal system functioning is assured.

Abstract: Embodiments of the present invention provide for assessing the state of an 82Rb elution system. In certain embodiments, a system begins an assessment that comprises an elution, and a metric may be measured. This metric may be a concentration of 82Rb, 82Sr, or 85Sr in a fluid that is eluted from the generator, the volume of the fluid that is eluted from the generator, or the pressure of the fluid flowing through at least one portion of the system. If the assessment is completed, an output may be generated on a user interface that recommends a course of action, or no course of action, based on a result of the assessment. Should the assessment not complete successfully because it is interrupted, a 82Sr/82Rb generator of the system may be halted so as to prevent a user from performing an end-run around these quality control mechanisms of the 82Rb elution system.

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 myocardi

Abstract: Disclosed are methods of radioisotope infusion comprising infusing saline comprising a diagnostic dose of a radioisotope, and delivering a pre-measured volume of push saline. The radioisotope may be 82Rb, 15O, 13N, 11C or 18F. The radioisotope is infused in the subject for imaging of the heart using Positron Emission Tomography imaging. The methods confer improved image quality with low background noise, higher signal to noise ratio (SNR) and higher contrast to noise ratio (CNR), leading to better diagnosis and thus eliminating the need of repeating the infusion and imaging which in turn reduces exposure of a patient to radiation.

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).

Abstract: Disclosed are methods of radioisotope infusion comprising infusing saline comprising a diagnostic dose of a radioisotope, and delivering a pre-measured volume of push saline. The disclosed methods confer improved image quality with low background noise, higher signal to noise ratio (SNR) and higher contrast to noise ratio (CNR), leading to better diagnosis and thus eliminating the need of repeating the infusion and imaging which in turn reduces exposure of a patient to radiation.

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 myoca

Abstract: Embodiments of the present invention provide for assessing the state of an 82Rb elution system. In certain embodiments, a system begins an assessment that comprises an elution, and a metric may be measured. This metric may be a concentration of 82Rb, 82Sr, or 85Sr in a fluid that is eluted from the generator, the volume of the fluid that is eluted from the generator, or the pressure of the fluid flowing through at least one portion of the system. If the assessment is completed, an output may be generated on a user interface that recommends a course of action, or no course of action, based on a result of the assessment. Should the assessment not complete successfully because it is interrupted, a 82Sr/82Rb generator of the system may be halted so as to prevent a user from performing an end-run around these quality control mechanisms of the 82Rb elution system.

Abstract: The present invention provides an improved method of PET imaging in a subject for diagnosis and/or treatment of cardiovascular related disease. The method comprises exponential function dosing based on subject body habitus. It provides improved and consistent imaging quality in comparison to fixed or linear dosing based on subject's body weight. More particularly, it relates to a method of imaging processing for diagnosing and/or identifying a risk of developing a coronary artery disease comprising administering a dose of Rb-82 to a subject, wherein the dose is calculated based on exponential squared function of body habitus of the subject; and wherein the method of imaging processing in a subject is iterative ordered-subset expectation maximization (OSEM) reconstruction method.

Abstract: Disclosed are methods of radioisotope infusion comprising infusing saline comprising a diagnostic dose of a radioisotope, and delivering a pre-measured volume of push saline. The disclosed methods confer improved image quality with low background noise, higher signal to noise ratio (SNR) and higher contrast to noise ratio (CNR), leading to better diagnosis and thus eliminating the need of repeating the infusion and imaging which in turn reduces exposure of a patient to radiation.

Abstract: Embodiments of the present invention provide for assessing the state of an 82Rb elution system. In certain embodiments, a system begins an assessment that comprises an elution, and a metric may be measured. This metric may be a concentration of 82Rb, 82Sr, or 85Sr in a fluid that is eluted from the generator, the volume of the fluid that is eluted from the generator, or the pressure of the fluid flowing through at least one portion of the system. If the assessment is completed, an output may be generated on a user interface that recommends a course of action, or no course of action, based on a result of the assessment. Should the assessment not complete successfully because it is interrupted, a 82Sr/82Rb generator of the system may be halted so as to prevent a user from performing an end-run around these quality control mechanisms of the 82Rb elution system.

Abstract: Disclosed are methods of radioisotope infusion comprising infusing saline comprising a diagnostic dose of a radioisotope, and delivering a pre-measured volume of push saline. The disclosed methods confer improved image quality with low background noise, higher signal to noise ratio (SNR) and higher contrast to noise ratio (CNR), leading to better diagnosis and thus eliminating the need of repeating the infusion and imaging which in turn reduces exposure of a patient to radiation.

Abstract: Provided are 82Sr/82Rb elution systems that accept patient weight as a input function in order to determine an optimal quantity of radioactive rubidium-82 for delivery to a patient pursuant to an imaging scan. Also disclosed are systems that deliver a saline flush to remove residual 82Rb from the system downstream of the generator, and preferably deliver the removed residual 82Rb to the patient. Other disclosed systems measure the total volume of saline that flows through a 82Sr/82Rb generator, a total volume of saline that flows through the generator and through a bypass line, or a total volume of saline received by a waste reservoir, in order to monitor system components so that optimal system functioning is assured.

Abstract: Embodiments of the present invention provide for assessing the state of an 82Rb elution system. In certain embodiments, a system begins an assessment that comprises an elution, and a metric may be measured. This metric may be a concentration of 82Rb, 82Sr, or 85Sr in a fluid that is eluted from the generator, the volume of the fluid that is eluted from the generator, or the pressure of the fluid flowing through at least one portion of the system. If the assessment is completed, an output may be generated on a user interface that recommends a course of action, or no course of action, based on a result of the assessment. Should the assessment not complete successfully because it is interrupted, a 82Sr/82Rb generator of the system may be halted so as to prevent a user from performing an end-run around these quality control mechanisms of the 82Rb elution system.

Abstract: Embodiments of the present invention provide for assessing the state of an 82Rb elution system. In certain embodiments, a system begins an assessment that comprises an elution, and a metric may be measured. This metric may be a concentration of 82Rb, 82Sr, or 85Sr in a fluid that is eluted from the generator, the volume of the fluid that is eluted from the generator, or the pressure of the fluid flowing through at least one portion of the system. If the assessment is completed, an output may be generated on a user interface that recommends a course of action, or no course of action, based on a result of the assessment. Should the assessment not complete successfully because it is interrupted, a 82Sr/82Rb generator of the system may be halted so as to prevent a user from performing an end-run around these quality control mechanisms of the 82Rb elution system.