[go: up one dir, main page]

Hawkes et al., 1988 - Google Patents

Development of a model to predict the potential accuracy of vessel blood flow measurements from dynamic angiographic recordings

Hawkes et al., 1988

Document ID
919574407267041011
Author
Hawkes D
Colchester A
Brunt J
Wicks D
Du Boulay G
Wallis A
Publication year
Publication venue
Mathematics and computer science in medical imaging

External Links

Snippet

The development of a computer model is described which will predict the concentration of contrast media (CM) in a blood vessel after the injection of CM and hence predict the angiographic appearances of the vessel. This model is used to calculate parametric images …
Continue reading at link.springer.com (other versions)

Classifications

    • 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
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/026—Measuring blood flow
    • A61B5/0265—Measuring blood flow using electromagnetic means, e.g. electromagnetic flowmeter
    • 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
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/026—Measuring blood flow
    • A61B5/0275—Measuring blood flow using tracers, e.g. dye dilution
    • 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
    • A61B5/053—Measuring electrical impedance or conductance of a portion of the body
    • 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
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/02007—Evaluating blood vessel condition, e.g. elasticity, compliance
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50—Clinical applications
    • A61B6/507—Clinical applications involving determination of haemodynamic parameters, e.g. perfusion CT
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/48—Diagnostic techniques
    • A61B6/481—Diagnostic techniques involving the use of contrast agents

Similar Documents

Publication Publication Date Title
Gould Quantification of coronary artery stenosis in vivo.
Taylor et al. Effect of exercise on hemodynamic conditions in the abdominal aorta
US9629563B2 (en) Method and system for functional assessment of renal artery stenosis from medical images
RU2717885C1 (en) Assessment of flow, resistance or pressure based on pressure or flow measurements and angiography
Casas et al. Bridging the gap between measurements and modelling: a cardiovascular functional avatar
US20080262346A1 (en) Method And Apparatus For Blood Vessel Parameter Determinations
CN113015497B (en) Method and device for simulating blood flow of blood vessel inherent to object
JP7300392B2 (en) Standardized Coronary Artery Disease Metrics
CN106572824A (en) Stenosis assessment
CN109065170A (en) Obtain the method and device of vascular pressure difference
WO2006061815A1 (en) Method and apparatus for blood vessel parameter determinations
Willemet et al. Inlet boundary conditions for blood flow simulations in truncated arterial networks
CN105078425B (en) Coronary artery cutting load testing system and detection method
Waechter et al. Model-based blood flow quantification from rotational angiography
Hawkes et al. Development of a model to predict the potential accuracy of vessel blood flow measurements from dynamic angiographic recordings
Glor et al. Validation of the coupling of magnetic resonance imaging velocity measurements with computational fluid dynamics in a U bend
Graafen et al. Quantitative myocardial perfusion magnetic resonance imaging: the impact of pulsatile flow on contrast agent bolus dispersion
Meier et al. Non-invasive 4D blood flow and pressure quantification in central blood vessels via PC-MRI
Wicks et al. DJ Hawkes¹, ACF Colchester¹, JNH Brunt²
JPWO2018185040A5 (en)
Efron et al. A method to determine the instantaneous blood-flow using cine-or video-densitometric data
Wang et al. Non-invasive assessment of hepatic venous pressure gradient (HVPG) based on MR flow imaging and computational fluid dynamics
Van Steenhoven et al. Experimental and numerical analysis of carotid artery blood flow
Mura et al. Non-invasive local pulse wave velocity using 4D-flow MRI
Fayssal et al. A fast algebraic approach for noninvasive prediction of fractional flow reserve in coronary arteries