[go: up one dir, main page]

Luypaert et al., 2011 - Google Patents

Validity of perfusion parameters obtained using the modified Tofts model: a simulation study

Luypaert et al., 2011

Document ID
5753669333429344278
Author
Luypaert R
Sourbron S
De Mey J
Publication year
Publication venue
Magnetic resonance in medicine

External Links

Snippet

The two‐compartment Tofts model (2CTM) has had widespread use in research and clinical practice. It assumes there is no broadening associated with the bolus transit through the capillary bed of the tissue under study. This assumption is often violated, with consequences …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences, Generation or control of pulse sequences ; Operator Console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/5601Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution involving use of a contrast agent for contrast manipulation, e.g. a paramagnetic, super-paramagnetic, ferromagnetic or hyperpolarised contrast agent
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3437Medical simulation or modelling, e.g. simulating the evolution of medical disorders
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10Services

Similar Documents

Publication Publication Date Title
Luypaert et al. Validity of perfusion parameters obtained using the modified Tofts model: a simulation study
Sourbron et al. Tracer kinetic modelling in MRI: estimating perfusion and capillary permeability
Heye et al. Reproducibility of dynamic contrast-enhanced MR imaging. Part I. Perfusion characteristics in the female pelvis by using multiple computer-aided diagnosis perfusion analysis solutions
Henriksen et al. High-grade glioma treatment response monitoring biomarkers: a position statement on the evidence supporting the use of advanced MRI techniques in the clinic, and the latest bench-to-bedside developments. Part 1: perfusion and diffusion techniques
Keenan et al. Quantitative magnetic resonance imaging phantoms: a review and the need for a system phantom
Akisik et al. Pancreatic cancer: utility of dynamic contrast-enhanced MR imaging in assessment of antiangiogenic therapy
Mangla et al. Changes in relative cerebral blood volume 1 month after radiation-temozolomide therapy can help predict overall survival in patients with glioblastoma
Murase Efficient method for calculating kinetic parameters using T1‐weighted dynamic contrast‐enhanced magnetic resonance imaging
Chapiro et al. Radiologic-pathologic analysis of contrast-enhanced and diffusion-weighted MR imaging in patients with HCC after TACE: diagnostic accuracy of 3D quantitative image analysis
Sahani et al. Imaging the liver
Hirschler et al. Advanced MR techniques for preoperative glioma characterization: Part 1
Thoeny et al. Effect of vascular targeting agent in rat tumor model: dynamic contrast-enhanced versus diffusion-weighted MR imaging
Ahn et al. Added value of gadoxetic acid–enhanced hepatobiliary phase MR imaging in the diagnosis of hepatocellular carcinoma
Agnello et al. High-b-value diffusion-weighted MR imaging of benign hepatocellular lesions: quantitative and qualitative analysis
Donaldson et al. A comparison of tracer kinetic models for T1‐weighted dynamic contrast‐enhanced MRI: Application in carcinoma of the cervix
Sourbron et al. Quantification of cerebral blood flow, cerebral blood volume, and blood–brain‐barrier leakage with DCE‐MRI
Padhani et al. Multiparametric imaging of tumor response to therapy
Sourbron et al. On the scope and interpretation of the Tofts models for DCE‐MRI
Wibmer et al. Liver failure after major liver resection: risk assessment by using preoperative gadoxetic acid–enhanced 3-T MR imaging
Nilsson et al. Assessment of hepatic extraction fraction and input relative blood flow using dynamic hepatocyte‐specific contrast‐enhanced MRI
Halappa et al. Intrahepatic cholangiocarcinoma treated with local-regional therapy: quantitative volumetric apparent diffusion coefficient maps for assessment of tumor response
Bonekamp et al. Unresectable hepatocellular carcinoma: MR imaging after intraarterial therapy. Part II. Response stratification using volumetric functional criteria after intraarterial therapy
Lopata et al. On the identifiability of pharmacokinetic parameters in dynamic contrast‐enhanced imaging
Marzi et al. Assessment of diffusion parameters by intravoxel incoherent motion MRI in head and neck squamous cell carcinoma
Abrol et al. Radiomic phenotyping in brain cancer to unravel hidden information in medical images