Liu et al., 2025 - Google Patents
Tri‐Compartmental Restriction Spectrum Imaging Based on 18F‐FDG PET/MR for Identification of Primary Benign and Malignant Lung LesionsLiu et al., 2025
- Document ID
- 3636556542816345676
- Author
- Liu X
- Meng N
- Zhou Y
- Fu F
- Yuan J
- Wang Z
- Yang Y
- Xiong Z
- Zou C
- Wang M
- Publication year
- Publication venue
- Journal of Magnetic Resonance Imaging
External Links
Snippet
Background Restriction spectrum imaging (RSI), as an advanced quantitative diffusion‐ weighted magnetic resonance imaging technique, has the potential to distinguish primary benign and malignant lung lesions. Objective To explore how well the tri‐compartmental RSI …
- 230000003902 lesion 0 title abstract description 62
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/54—Signal processing systems, e.g. using pulse sequences, Generation or control of pulse sequences ; Operator Console
- G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
- G01R33/563—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution of moving material, e.g. flow contrast angiography
- G01R33/56341—Diffusion imaging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay
- G01N33/574—Immunoassay; Biospecific binding assay for cancer
- G01N33/57407—Specifically defined cancers
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves involving electronic or nuclear magnetic resonance, e.g. magnetic resonance imaging
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/41—Detecting, measuring or recording for evaluating the immune or lymphatic systems
- A61B5/414—Evaluating particular organs or parts of the immune or lymphatic systems
- A61B5/415—Evaluating particular organs or parts of the immune or lymphatic systems the glands, e.g. tonsils, adenoids or thymus
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/41—Detecting, measuring or recording for evaluating the immune or lymphatic systems
- A61B5/414—Evaluating particular organs or parts of the immune or lymphatic systems
- A61B5/418—Evaluating particular organs or parts of the immune or lymphatic systems lymph vessels, ducts or nodes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10084—Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Suo et al. | Multiparametric diffusion‐weighted imaging in breast lesions: Association with pathologic diagnosis and prognostic factors | |
| Sigmund et al. | Intravoxel incoherent motion imaging of tumor microenvironment in locally advanced breast cancer | |
| Liu et al. | Usefulness of diffusion-weighted MR imaging in the evaluation of pulmonary lesions | |
| Zou et al. | Differentiating the histologic grades of gliomas preoperatively using amide proton transfer‐weighted (APTW) and intravoxel incoherent motion MRI | |
| Rosenkrantz et al. | Prostate cancer vs. post‐biopsy hemorrhage: diagnosis with T2‐and diffusion‐weighted imaging | |
| Shih et al. | Standardized uptake value and apparent diffusion coefficient of endometrial cancer evaluated with integrated whole‐body PET/MR: correlation with pathological prognostic factors | |
| Schabel et al. | Pharmacokinetic mapping for lesion classification in dynamic breast MRI | |
| Kang et al. | Diffusion kurtosis MR imaging of invasive breast cancer: correlations with prognostic factors and molecular subtypes | |
| Li et al. | Feasibility of shutter‐speed DCE‐MRI for improved prostate cancer detection | |
| Meeus et al. | Diffusion‐weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors | |
| Zhang et al. | The predictive value of DKI in breast cancer: does tumour subtype affect pathological response evaluations? | |
| Zou et al. | Response to neoadjuvant chemoradiotherapy for locally advanced rectum cancer: Texture analysis of dynamic contrast‐enhanced MRI | |
| Nogueira et al. | Diffusion-weighted breast imaging at 3 T: preliminary experience | |
| Yu et al. | Quantitative analysis of DCE-MRI and RESOLVE-DWI for differentiating nasopharyngeal carcinoma from nasopharyngeal lymphoid hyperplasia | |
| Wang et al. | Dynamic contrast-enhanced MR imaging in renal cell carcinoma: reproducibility of histogram analysis on pharmacokinetic parameters | |
| Camps-Herrero | Diffusion-weighted imaging of the breast: current status as an imaging biomarker and future role | |
| Guo et al. | Whole Volume Apparent Diffusion Coefficient (ADC) Histogram as a Quantitative Imaging Biomarker to Differentiate Breast Lesions: Correlation with the Ki‐67 Proliferation Index | |
| Wang et al. | Evaluation of hepatic tumors using intravoxel incoherent motion diffusion-weighted MRI | |
| Liu et al. | Tri‐Compartmental Restriction Spectrum Imaging Based on 18F‐FDG PET/MR for Identification of Primary Benign and Malignant Lung Lesions | |
| Wang et al. | Investigation of diffusion kurtosis imaging for discriminating tumors from inflammatory lesions after treatment for bladder cancer | |
| Baradaran Najar et al. | MR elastography for classification of focal liver lesions using viscoelastic parameters: A pilot study based on intrinsic and extrinsic activations | |
| Zhang et al. | Radiomics Nomogram Based on Dual‐Sequence MRI for Assessing Ki‐67 Expression in Breast Cancer | |
| Su et al. | Predicting the Ki-67 proliferation index in cervical cancer: a preliminary comparative study of four non-Gaussian diffusion-weighted imaging models combined with histogram analysis | |
| Jia et al. | Diffusion Kurtosis MR Imaging versus Conventional Diffusion‐Weighted Imaging for Distinguishing Hepatocellular Carcinoma from Benign Hepatic Nodules | |
| Li et al. | The Value of Amide Proton Transfer MRI in the Diagnosis of Malignant and Benign Urinary Bladder Lesions: Comparison With Diffusion‐Weighted Imaging |