# US 2025/0152033 A1 · Support for diagnosis of neuropsychiatric sle by means of head mri > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0152033 A1 - Document ID: US20250152033A1 - Status: Published application - Kind: A1 - Application number: 18/839,317 - Filed: 2023-02-16 - Published: 2025-05-15 - Earliest claimed: 2022-02-17 - Assignees: Nagasaki Univeristy - Applicants: Nagasaki Univeristy - Inventors: Kayoko URASHIMA; Kunihiro ICHINOSE; Hideki ISHIMARU; Masao UEKI - Web page: https://patentgrep.com/patent/US20250152033A1 ## CPC - A61B 5/055: involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging - G01N 33/66: involving blood sugars, e.g. galactose - A61B 5/4064: {Evaluating the brain (for intracranial pressure A61B5/031; for cerebral blood gases A61B5/14553; using EEG A61B5/369)} - A61B 5/7264: {Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems} - G01N 33/6893: {related to diseases not provided for elsewhere} - G06T 7/0012: {Biomedical image inspection} - G06T 7/11: Region-based segmentation - G06T 7/136: involving thresholding - G06T 7/155: involving morphological operators - G06T 7/187: involving region growing; involving region merging; involving connected component labelling - G06T 7/60: Analysis of geometric attributes - G06V 20/69: Microscopic objects, e.g. biological cells or cellular parts - A61B 5/14532: {for measuring glucose, e.g. by tissue impedance measurement} - A61B 2576/026: for the brain - G01N 2333/4716: Complement proteins, e.g. anaphylatoxin, C3a, C5a - G01N 2333/5412: IL-6 - G01N 2800/104: Lupus erythematosus [SLE] - G06T 2207/10088: Magnetic resonance imaging [MRI] - G06T 2207/20036: Morphological image processing - G06T 2207/30016: Brain - G06V 2201/03: Recognition of patterns in medical or anatomical images - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract The present invention provides a method for obtaining an indicator for diagnosing whether a subject is an SLE patient or an NPSLE patient. The method includes: (1) preparing head MRI images of SLE patients and NPSLE patients; (2) gradually changing a color tone of each of the head MRI images; (3) detecting and counting white connected components and black connected components generated in response to color tone changes; (4) obtaining a scatter diagram of times of generation and disappearance of the white connected components and black connected components based on the a result of the detecting and counting (3); (5) verifying whether there is a significant difference in any of image features between SLE patients and NPSLE patients, the image features being obtained from the scatter diagram; and (6) identifying, as the indicator, an image feature in which a significant difference is recognized. ## Claims ### Claim 1 A method for obtaining an indicator for diagnosing whether a subject is an SLE patient or an NPSLE patient, the method comprising: (1) preparing head MRI images of SLE patients and NPSLE patients; (2) gradually changing a color tone of each of the head MRI images; (3) detecting and counting white connected components and black connected components generated in response to color tone changes; (4) obtaining a scatter diagram of times of generation and disappearance of the white connected components and the black connected components based on a result of the detecting and counting (3); (5) verifying whether there is a significant difference in any of image features between the SLE patients and the NPSLE patients, the image features being obtained from the scatter diagram; and (6) identifying, as the indicator, an image feature in which a significant difference is recognized. ### Claim 2 (depends on 1) The method according to claim 1, wherein the preparing (1) includes pre-processing the head MRI image. ### Claim 3 (depends on 1) The method according to claim 1, wherein in the verifying (5), the image features are obtained based on a convex peel containing at least 90% of plots in the scatter diagram. ### Claim 4 (depends on 3) The method according to claim 3, wherein the image features are obtained based on a length of a perimeter of the convex peel containing at least 90% of the plots in the scatter diagram. ### Claim 5 A method for assisting diagnosis of whether a subject is an SLE patient or an NPSLE patient, the method comprising: (1) preparing a head MRI image of a subject; (2) gradually changing a color tone of the head MRI image; (3) detecting and counting white connected components or black connected components generated in response to color tone changes; (4) obtaining a scatter diagram of times of generation and disappearance of the white connected components and the black connected components based on a result of the detecting and counting (3); (5) calculating a specific image feature from the scatter diagram; and (6) determining whether the subject is an SLE patient or an NPSLE patient from the calculated image feature. ### Claim 6 (depends on 5) The method according to claim 5, wherein the preparing (1) includes pre-processing the head MRI image. ### Claim 7 (depends on 5) The method according to claim 5, wherein in the calculating (5), the specific image feature is a length of a perimeter of a convex peel containing at least 90% of plots in the scatter diagram. ### Claim 8 (depends on 7) The method according to claim 7, wherein in the determining (6), whether the subject is an SLE patient or an NPSLE patient is determined by comparing the length of the perimeter calculated in the calculating (5) with a predetermined cutoff value. ### Claim 9 (depends on 5) The method according to claim 5, wherein in the calculating (5), the specific image feature is an area of a convex peel within which at least 90% of plots in the scatter diagram. ### Claim 10 (depends on 9) The method according to claim 9, wherein in the determining (6), whether the subject is an SLE patient or an NPSLE patient is determined by comparing the area calculated in the calculating (5) with a predetermined cutoff value. ### Claim 11 (depends on 5) The method according to claim 5, wherein in the determining (6), whether the subject is an SLE patient or an NPSLE patients is determined from: the calculated image feature; and one or more indicators selected from the group consisting of an age of the subject, an amount of prednisolone orally administered, an amount of C3 in serum, a blood glucose level, and an amount of IL-6 in a cerebrospinal fluid. ### Claim 12 A non-transitory computer-readable storage medium storing a program for predicting whether a subject is an SLE patient or an NPSLE patient, the computer program causing a computer to function as: a reception unit (P1) configured to receive head MRI image data of a prediction target; a calculation unit (P2) configured to (i) gradually change a color tone of the received head MRI image data, (ii) detect and count white connected components or black connected components generated in response to color tone changes, (iii) obtain a scatter diagram of times of generation and disappearance of the white connected components and the black connected components based on a result of the detecting and counting, (iv) calculate a specific image feature from the scatter diagram, and (v) calculate at least one of a probability that the subject is an SLE patient or a probability that the subject is an NPSLE patient; and an output unit (P3) configured to output a calculation result obtained by the calculation unit.