US 12,239,455 B2
Magnetic resonance spectroscopy system and method for diagnosing pain or infection associated with propionic acid
Jeffrey C. Lotz, Oakland, CA (US); James Clayton Peacock, III, Redwood City, CA (US); David S. Bradford, Sausalito, CA (US); Stefan Dudli, Bern (CH); and Sergey G. Magnitsky, Oakland, CA (US)
Assigned to ACLARION, INC., San Mateo, CA (US); and THE REGENTS OF THE UNIVERSITY OF CALIFORNIA, Oakland, CA (US)
Filed by ACLARION, INC., San Mateo, CA (US); and THE REGENTS OF THE UNIVERSITY OF CALIFORNIA, Oakland, CA (US)
Filed on Jan. 27, 2023, as Appl. No. 18/160,995.
Application 18/160,995 is a continuation of application No. 16/224,590, filed on Dec. 18, 2018, granted, now 11,564,619.
Application 16/224,590 is a continuation of application No. PCT/US2017/038034, filed on Jun. 16, 2017.
Claims priority of provisional application 62/351,963, filed on Jun. 19, 2016.
Prior Publication US 2023/0355167 A1, Nov. 9, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 5/00 (2006.01); A61B 5/055 (2006.01); G01R 33/46 (2006.01); G01R 33/465 (2006.01); G01R 33/48 (2006.01); G01R 33/483 (2006.01); G01R 33/485 (2006.01); G01R 33/56 (2006.01)
CPC A61B 5/4514 (2013.01) [A61B 5/055 (2013.01); A61B 5/412 (2013.01); A61B 5/4566 (2013.01); G01R 33/46 (2013.01); G01R 33/465 (2013.01); G01R 33/4828 (2013.01); G01R 33/483 (2013.01); G01R 33/485 (2013.01); G01R 33/5608 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A diagnostic system for providing diagnostic information for a medical condition associated with a region of interest (ROI) in a patient, the diagnostic system comprising:
a magnetic resonance spectroscopy (MRS) processor configured to:
receive an MRS spectral acquisition series of data for a voxel located within the region of interest (ROI) acquired using an MRS system with an MRS scanner comprising a magnet and operated according to an MRS pulse sequence to generate the series of data and a detector assembly configured for receiving said series of data;
process the MRS spectral acquisition series of data to produce a processed MRS spectrum;
analyze at least a portion of the processed MRS spectrum below a range associated with lactic acid (LA) to identify a spectral feature that corresponds with propionic acid (PA);
calculate a measurement for the spectral feature that corresponds with propionic acid (PA); and
generate the diagnostic information for the medical condition using the calculated measurement.