IP Library Granted Patent US 12,405,333
Granted Patent B2
US 12,405,333 · App. 18/037,726 · Granted Sep 2, 2025

Magnetic resonance imaging of glycogen and other polysaccharides by magnetic coupling with water

Inventors: Peter van Zijl (Baltimore, MD); Yang Zhou (Baltimore, MD); Nirbhay N. Yadav (Baltimore, MD)
Assignees: The Johns Hopkins University; Kennedy Krieger Institute, Inc.
G01R33/4828
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,405,333
App. No.
18/037,726
Granted
Sep 2, 2025
Kind
B2
Abstract

Some embodiments provide a method for magnetic resonance imaging of polysaccharide molecules, that includes providing a magnetic field that is sufficiently homogeneous over an imaging volume, generating a spatial encoding in the magnetic field, and acquiring one or more water proton signal intensity measurements at each of multiple voxels within the imaging volume. The signal intensity measurements are acquired at one or more irradiation frequencies at lower parts-per-million (ppm) than a baseline frequency associated with free water protons. The method includes generating, based on the water proton signal intensity measurements in each voxel, a water proton signal intensity map of the relayed Nuclear Overhauser Effect (rNOE) exchange process of aliphatic protons in the polysaccharide molecules to free water protons in the imaging volume, and generating, using a calibration of the water proton signal intensity measurements for the rNOE exchange process, a concentration map of the polysaccharide molecules in the imaging volume.

Claims (55)

1. A system for magnetic resonance imaging of polysaccharide molecules, comprising:

a primary magnet configured to provide a magnetic field that is sufficiently homogeneous over an imaging volume;

a magnetic gradient coil configured to generate a spatial encoding in the magnetic field;

a radiofrequency coil configured to acquire one or more water proton signal intensity measurements at each of a plurality of voxels within the imaging volume, wherein said signal intensity measurements are acquired in each voxel at a one or more irradiation frequencies, said irradiation frequencies at lower parts-per-million (ppm) than a baseline frequency associated with free water protons; and

a data processor configured to:

generate, based on the water proton signal intensity measurements in each voxel, a water proton signal intensity map of the relayed Nuclear Overhauser Effect (rNOE) exchange process of aliphatic protons in the polysaccharide molecules to free water protons in the imaging volume; and

generate, using a calibration of the water proton signal intensity measurements for said rNOE exchange process, a concentration map of the polysaccharide molecules in the imaging volume.

2. A method for magnetic resonance imaging of polysaccharide molecules, comprising:

providing a magnetic field that is sufficiently homogeneous over an imaging volume;

generating a spatial encoding in the magnetic field;

acquiring one or more water proton signal intensity measurements at each of a plurality of voxels within the imaging volume, wherein said signal intensity measurements are acquired in each voxel at a one or more irradiation frequencies, said irradiation frequencies at lower parts-per-million (ppm) than a baseline frequency associated with free water protons;

generating, based on the water proton signal intensity measurements in each voxel, a water proton signal intensity map of the relayed Nuclear Overhauser Effect (rNOE) exchange process of aliphatic protons in the polysaccharide molecules to free water protons in the imaging volume; and

generating, using a calibration of the water proton signal intensity measurements for said rNOE exchange process, a concentration map of the polysaccharide molecules in the imaging volume.

3. The system of claim 1 , wherein the water proton signal intensity measurements are acquired after irradiation of the imaging volume using a magnetic labelling pulse sequence.

4. The system of claim 1 , wherein the data processor is further configured to generate the water proton signal intensity map based on a plurality of resonances associated with magnetization transfer of aliphatic protons to free water via the rNOE process.

5. The system of claim 1 , wherein the polysaccharide molecules comprise one of glycogen molecules, chemically modified polysaccharide molecules, labelled polysaccharide molecules, polysaccharides connected to binding substrates, endogenous polysaccharides, and exogenous polysaccharides.

6. The system of claim 1 , wherein the imaging volume comprises at least one of a tumor, a brain, a heart, a liver, and a skeletal muscle.

7. The system of claim 1 ,

wherein the one or more water proton signal intensity measurements are a plurality of signal intensity measurements comprising one or more water proton signal intensity measurements acquired in each voxel at a one or more additional irradiation frequencies, said additional irradiation frequencies at lower ppm than the baseline frequency associated with free water protons,

wherein the data processor is further configured to correct the plurality of water proton signal intensity measurements based on a mixed direct water saturation and magnetization transfer contrast (MTC) background.

8. The system of claim 1 , wherein the concentration map of the polysaccharide molecules is sensitive to the size of polysaccharide molecules within each voxel.

9. The system of claim 1 , wherein the concentration map of the polysaccharide molecules is sensitive to the concentration of polysaccharide molecules within each voxel.

10. The system of claim 1 , wherein the concentration map of the polysaccharide molecules is statistically independent of temperature.

11. The system of claim 1 , wherein the concentration map of the polysaccharide molecules is statistically independent of pH.

12. The system of claim 1 ,

wherein the water proton signal intensity measurements are acquired prior to an administration of exogenous polysaccharides to the imaging volume,

wherein the radiofrequency coil is further configured to acquire one or more water proton signal intensity measurements at each of the plurality of voxels within the imaging volume, subsequent to the administration of exogenous polysaccharides, and

wherein the data processor is further configured to generate a series of concentration maps of the polysaccharide molecules in the imaging volume, said series of concentration maps characterizing a temporal variation of the concentration of polysaccharides in the imaging volume due to the administration of exogenous polysaccharides.

13. The system of claim 1 ,

wherein the water proton signal intensity measurements are acquired prior to an intervention that modifies endogenous polysaccharides in the imaging volume,

wherein the radiofrequency coil is further configured to acquire one or more water proton signal intensity measurements at each of the plurality of voxels within the imaging volume, subsequent to the intervention, and

wherein the data processor is further configured to generate a series of concentration maps of the polysaccharide molecules in the imaging volume, said series of concentration maps characterizing a temporal variation of the concentration of polysaccharides in the imaging volume due to the intervention.

14. The method of claim 2 , wherein the water proton signal intensity measurements are acquired after irradiation of the imaging volume using a magnetic labelling pulse sequence.

15. The method of claim 2 , wherein generating the water proton signal intensity map is based on a plurality of resonances associated with magnetization transfer of aliphatic protons to free water via the rNOE process.

16. The method of claim 2 , wherein the polysaccharide molecules comprise one of glycogen molecules, chemically modified polysaccharide molecules, labelled polysaccharide molecules, polysaccharides connected to binding substrates, endogenous polysaccharides, and exogenous polysaccharides.

17. The method of claim 2 , wherein the imaging volume comprises at least one of a tumor, a brain, a heart, a liver, and a skeletal muscle.

18. The method of claim 2 ,

wherein the one or more water proton signal intensity measurements are a plurality of signal intensity measurements comprising one or more water proton signal intensity measurements acquired in each voxel at a one or more additional irradiation frequencies, said additional irradiation frequencies at lower ppm than the baseline frequency associated with free water protons,

the method further comprising correcting the plurality of water proton signal intensity measurements based on a mixed direct water saturation and magnetization transfer contrast (MTC) background.

19. The method of claim 2 , wherein the concentration map of the polysaccharide molecules is sensitive to the size of polysaccharide molecules within each voxel.

20. The method of claim 2 , wherein the concentration map of the polysaccharide molecules is sensitive to the concentration of polysaccharide molecules within each voxel.

21. The method of claim 2 , wherein the concentration map of the polysaccharide molecules is statistically independent of temperature.

22. The method of claim 2 , wherein the concentration map of the polysaccharide molecules is statistically independent of pH.

23. The method of claim 2 , wherein the water proton signal intensity measurements are acquired prior to an administration of exogenous polysaccharides to the imaging volume, the method further comprising:

acquiring one or more water proton signal intensity measurements at each of the plurality of voxels within the imaging volume, subsequent to the administration of exogenous polysaccharides; and

generating a series of concentration maps of the polysaccharide molecules in the imaging volume, said series of concentration maps characterizing a temporal variation of the concentration of polysaccharides in the imaging volume due to the administration of exogenous polysaccharides.

24. The method of claim 2 , wherein the water proton signal intensity measurements are acquired prior to an intervention that modifies endogenous polysaccharides in the imaging volume, the method further comprising:

acquiring one or more water proton signal intensity measurements at each of the plurality of voxels within the imaging volume, subsequent to the intervention, and

generating a series of concentration maps of the polysaccharide molecules in the imaging volume, said series of concentration maps characterizing a temporal variation of the concentration of polysaccharides in the imaging volume due to the intervention.

25. The system of claim 3 , wherein the magnetic labeling pulse sequence is one of a saturation transfer pulse sequence, an inversion pulse sequence, and an excitation pulse sequence.

26. The system of claim 12 , wherein the administration of exogenous polysaccharides comprises an injection of a contrast agent which comprises polysaccharide molecules.

27. The system of claim 13 , wherein the intervention comprises one of an administered drug or chemical compound, an exercise regimen, an intake of food, and a fasting regimen.

28. The method of claim 14 , wherein the magnetic labeling pulse sequence is one of a saturation transfer pulse sequence, an inversion pulse sequence, and an excitation pulse sequence.

29. The method of claim 23 , wherein the administration of exogenous polysaccharides comprises an injection of a contrast agent which comprises polysaccharide molecules.

30. The method of claim 24 , wherein the intervention comprises one of an administered drug or chemical compound, an exercise regimen, an intake of food, and a fasting regimen.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 25, 2023
From: VAN ZIJL, PETER; ZHOU, YANG
To: THE JOHNS HOPKINS UNIVERSITY
Reel/Frame 065341/0939 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 25, 2023
From: YADAV, NIRBHAY N.
To: KENNEDY KRIEGER INSTITUTE, INC.
Reel/Frame 065341/0985 →
Continuity (2)
Provisional Application 63117774 · Nov 24, 2020
Related Publication 20230408611A1 · Dec 21, 2023
References Cited (55)
US 20030017110A1 · Pines et al. · 2003 [cited by applicant]
US 20080197840A1 · Van Zijl · 2008 [cited by examiner]
US 20090045811A1 · Sasisekharan et al. · 2009 [cited by applicant]
US 20120271159A1 · Song · 2012 [cited by examiner]
CN 1283202A · 2001 [cited by examiner]
CN 102645491A · 2012 [cited by examiner]
WO WO2007141767A2 · 2007 [cited by examiner]
WO 2019143801A1 · 2019 [cited by applicant]
Zhou et al. “Magnetic resonance imaging of glycogen using its magnetic coupling with water”, In: Proceedings of the National Academy of Sciences, Feb. 11, 2020, vol. 117, No. 6, pp. 3144-3149. [cited by applicant]
Van Heeswijk et al. “Quantification of brain glycogen concentration and turnover through localized 13C NMR of both the C1 and C6 resonances”, NMR in Biomedicine., (2010), vol. 23, pp. 270-276. [cited by applicant]
Brown et al., “Astrocyte glycogen and brain energy metabolism”, Glia., (2007), vol. 55, pp. 1263-1271. [cited by applicant]
Gruetter et al., “Validation of 13C NMR measurements of liver glycogen in vivo”, Magnetic resonance in medicine, (1994), vol. 31, pp. 583-588. [cited by applicant]
Konig et al., “Quantifying the contribution of the liver to glucose homeostasis: a detailed kinetic model of human hepatic glucose metabolism”, PLoS Comp Bio., (2012), vol. 8, Issue 6, (17 pages). [cited by applicant]
Hennig et al., “Contribution of glycogen to aerobic myocardial glucose utilization”, Circulation, (1996), vol. 93, (21 pages). [cited by applicant]
Price et al., “13C-NMR measurements of muscle glycogen during low-intensity exercise”, J Appl Physiology., (1991), vol. 70, pp. 1836-1844. [cited by applicant]
Ortenblad et al., “Muscle glycogen stores and fatigue”, J Physiology., (2013), vol. 591, No. 18, pp. 4405-4413. [cited by applicant]
Rousset et al., “Presence of glycogen and growth-related variations in 58 cultured human tumor cell lines of various tissue origins”, Cancer Res., (Mar. 1981), vol. 41, pp. 1165-1170. [cited by applicant]
Favaro et al., “Glucose utilization via glycogen phosphorylase sustains proliferation and prevents premature senescence in cancer cells”, Cell Metabolism., (Dec. 5, 2012), vol. 16, pp. 751-764. [cited by applicant]
Magnusson et al., “Increased rate of gluconeogenesis in type II diabetes mellitus: A 13C nuclear magnetic resonance study”, J Clin Invest., (1992), vol. 90, pp. 1323-1327. [cited by applicant]
Krssak et al., “Alterations in postprandial hepatic glycogen metabolism in type 2 diabetes”, Diabetes., (Dec. 2004), vol. 53, pp. 3048-3056. [cited by applicant]
Adeva-Andany et al., “Glycogen metabolism in humans”, BBA Clinical., (2016), vol. 5, pp. 85-100. [cited by applicant]
Krahenbuhl et al., “Reduced hepatic glycogen stores in patients with liver cirrhosis”, Liver Int., (2003), vol. 23, pp. 101-109. [cited by applicant]
Nieman et al., “Ultrasonic assessment of exercise-induced change in skeletal muscle glycogen content”, BMC Sports Science, Medicine, and Rehabilitation, (2015), vol. 7, No. 9, (7 pages). [cited by applicant]
Witney et al., “A novel radiotracer to image glycogen metabolism in tumors by positron emission tomography”, Cancer Res., (2014), vol. 74, No. 5, pp. 1319-1328. [cited by applicant]
Sillerud et al., “Structure and metabolism of mammalian liver glycogen monitored by carbon-13 nuclear magnetic resonance”, Biochemistry., (1983), vol. 22, pp. 1087-1094. [cited by applicant]
Zang et al., “1H NMR visibility of mammalian glycogen in solution”, PNAS., (Mar. 1990), vol. 87, pp. 1678-1680. [cited by applicant]
Heinicke et al., “Reproducibility and Absolute Quantification of Muscle Glycogen in Patients with Glycogen Storage Disease by 13C NMR Spectroscopy at 7 Tesla”, PLoS One, (Oct. 2014), vol. 9, Issue 10, (6 pages). [cited by applicant]
Roser et al., “Absolute quantification of the hepatic glycogen content in a patient with glycogen storage disease by 13C magnetic resonance spectroscopy”, Magnetic Resonance Imaging., (1996), vol. 14, No. 10, pp. 1217-1… [cited by applicant]
Ouwerkerk et al., “Liver metabolite concentrations measured with 1H MR spectroscopy”, Radiology., (Nov. 2012), vol. 265, No. 2, pp. 565-575. [cited by applicant]
Van Zijl et al., “MRI detection of glycogen in vivo by using chemical exchange saturation transfer imaging (glycoCEST)”, PNAS., (Mar. 13, 2007), vol. 104, No. 11, pp. 4359-4364. [cited by applicant]
Miller et al., “Noninvasive Measurements of Glycogen in Perfused Mouse Livers Using Chemical Exchange Saturation Transfer NMR and Comparison to 13C NMR Spectroscopy”, Analytical Chemistry., (2015), vol. 87, pp. 5824-583… [cited by applicant]
Simegn et al., “Real-time simultaneous shim and motion measurement and correction in glycoCEST MRI using double volumetric navigators (DvNavs)”, Mag Resonance in Medicine., (2019), vol. 81, pp. 2600-2613. [cited by applicant]
Van Zijl et al., “Chemical exchange saturation transfer (CEST): what is in a name and what isn't?”, Magnetic resonance in medicine., (2011), vol. 65, pp. 927-948. [cited by applicant]
Deng et al., “Chemical exchange saturation transfer (CEST) MR techniqu,e for liver imaging at 3.0 Tesla: an evaluation of different offset No. and an after-meal and over-night fast comparison”, Mol Imaging and Biology.,… [cited by applicant]
Chen et al., “NMR studies of proton NOEs in glycogen”, Biochemistry, (1993), vol. 32, pp. 11483-11487. [cited by applicant]
Ling et al., “Assessment of glycosaminoglycan concentration in vivo by chemical exchange-dependent saturation transfer (gagCEST)”, PNAS., (Feb. 19, 2008), vol. 105, No. 7, pp. 2266-2270. [cited by applicant]
Yadav et al., “Detection of dynamic substrate binding using MRI”, Sci Reports., (2017), vol. 7, (7 pages). [cited by applicant]
Zang et al., “Assignment of the 1H chemical shifts of glycogen”, Carbohydrate Research., (1991), vol. 220, pp. 1-9. [cited by applicant]
Desmond et al., “Mapping of amide, amine, and aliphatic peaks in the CEST spectra of murine xenografts at 7 T”, Mag Resonance in Medicine., (2014), vol. 71, pp. 1841-1853. [cited by applicant]
Giffin et al., “Hepatic lobular patterns of phosphoenolpyruvate carboxykinase, glycogen synthase, and glycogen phosphorylase in fasted and fed rats”, J Histochemistry & Cytochemistry., (1993), vol. 41, No. 12, pp. 1849-… [cited by applicant]
Jensen et al., “Fasting of mice: a review”, Lab Animals., (2013), vol. 47, No. 4, pp. 225-240. [cited by applicant]
Sullivan et al., “Changes in glycogen structure over feeding cycle sheds new light on blood-glucose control”, Biomacromolecules., (2014), vol. 15, pp. 660-665. [cited by applicant]
Chen et al., “Protein aggregation linked to Alzheimer's disease revealed by saturation transfer MRI”, NeuroImage., (2019), vol. 188, pp. 380-390. [cited by applicant]
Chen et al., “Creatine and phosphocreatine mapping of mouse skeletal muscle by a polynomial and Lorentzian line-shape fitting CEST method”, Mag Resonance in Medicine., (2019), vol. 81, pp. 69-78. [cited by applicant]
Zang et al., “Carbon-13 NMR relaxation times of hepatic glycogen in vitro and in vivo”, Biochemistry., (1990), vol. 29, pp. 6815-6820. [cited by applicant]
Shokri-Afra et al., “Improvement of the classical assay method for liver glycogen fractions: ASG is the main and metabolic active fraction”, Eur Rev for Medical and Pharmacological Sciences., (2016), vol. 20, pp. 4328-4… [cited by applicant]
Strubelt et al., “The influence of fasting on the susceptibility of mice to hepatotoxic injury”, Toxicology and Applied Pharmacology., (1981), vol. 60, pp. 66-77. [cited by applicant]
Kim et al., Water saturation shift referencing (WASSR) for chemical exchange saturation transfer (CEST) experiments, Mag resonance in medicine., (2009), vol. 61, pp. 1441-1450. [cited by applicant]
Zhou et al., “Magnetic resonance imaging of glycogen using its magnetic coupling with water”, PNAS, (Feb. 11, 2020), vol. 117, No. 6, pp. 3144-3149. [cited by applicant]
Ishihara et al., “A precise and fast temperature mapping using water proton chemical shift”, Magnetic Resonance in Medicine., (1995), vol. 34, pp. 814-823. [cited by applicant]
Allard et al., “The complete homogeneous master equation for a heteronuclear two-spin system in the basis of cartesian product operators”, J Mag Resonance., (1998), vol. 134, pp. 7-16,. [cited by applicant]
Bloembergen et al., “Relaxation effects in nuclear magnetic resonance absorption”, Physical Review, (Apr. 1, 1948), vol. 73, No. 7, (37 pages). [cited by applicant]
Tylianakis et al., “NMR study of the rotational dynamics of linear homopolysaccharides in dilute solutions as a function of linkage position and stereochemistry”, Carbohydrate Research., (1999), vol. 315, pp. 16-34. [cited by applicant]
Simpson et al., “Diffusion and nuclear spin relaxation in water”, Physical Review, (Sep. 1, 1958), vol. 111, No. 5, pp. 2101-1202. [cited by applicant]
Sagiyama et al., “In vivo monitoring of liver glycogen by chemical exchange saturation transfer imaging (GlycoCEST) in live mice”, Proceedings of the International Society for Magnetic Resonance in Medicine, (2014), vol… [cited by applicant]