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Profil bibliographique

Sigurd Storve

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

14Publications signalées
78Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Cardiovascular Function and Risk FactorsCardiac Imaging and DiagnosticsCardiac Valve Diseases and TreatmentsUltrasound Imaging and ElastographyCardiovascular Health and Disease Prevention

Les publications récentes

Accès ouvert 2020 article OpenAlex

Automatic quantification of left ventricular function by medical students using ultrasound

Jahn Frederik Grue, Sigurd Storve, Håvard Dalen, Ole Christian Mjølstad et autres

BACKGROUND: Automatic analyses of echocardiograms may support inexperienced users in quantifying left ventricular (LV) function. We have developed an algorithm for fully automatic measurements of mitral annular plane systolic excursion (MAPSE) and mitral annular systolic (S') and early diastolic (e') peak velocities. …

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3 citations BMC Medical Imaging
Accès ouvert 2019 article OpenAlex

Normal ranges for automatic measurements of tissue Doppler indices of mitral annular motion by echocardiography. Data from the HUNT3 Study

Jahn Frederik Grue, Sigurd Storve, Asbjørn Støylen, Hans Garmann Torp et autres

BACKGROUND: Automatic quantification of left ventricular (LV) function could enhance workflow for cardiologists and assist inexperienced clinicians who perform focused cardiac ultrasound. We have developed an algorithm for automatic measurements of the mitral annular plane systolic excursion (MAPSE) and peak velocities in …

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9 citations Echocardiography
Accès ouvert 2019 paratext OpenAlex

Front Cover Image

Jahn Frederik Grue, Sigurd Storve, Asbjørn Støylen, Hans Garmann Torp et autres

The front cover image is based on the Original Article Normal ranges for automatic measurements of tissue Doppler indices of mitral annular motion by echocardiography. Data from the HUNT3 Study by Jahn Frederik Grue et al., https://doi.org/10.1111/echo.14476.

0 citations Echocardiography
Accès ouvert 2018 article OpenAlex

P854Reference values for automatic measurements of tissue doppler indices

Jahn Frederik Grue, Sigurd Storve, Hans Garmann Torp, Ole Christian Mjølstad et autres

Background: Tissue Doppler imaging is widely used to quantify global left ventricular (LV) longitudinal function. We have developed an algorithm that automatically measures the mitral annular peak velocities in systole (S'), early diastole (e') and late diastole (a'). This algorithm can be …

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0 citations European Heart Journal
Accès ouvert 2017 article OpenAlex

Automatic Measurements of Mitral Annular Plane Systolic Excursion and Velocities to Detect Left Ventricular Dysfunction

Jahn Frederik Grue, Sigurd Storve, Håvard Dalen, Øyvind Olav Salvesen et autres

The purpose of the study described here was to evaluate an automatic algorithm for detection of left ventricular dysfunction, based on measurements of mitral annular motion indices from color tissue Doppler apical four-chamber recordings. Two hundred twenty-one patients, among whom 49 had …

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26 citations Ultrasound in Medicine & Biology
2017 article OpenAlex

P3339Automatic measurements of tissue doppler indices to detect left ventricular dysfunction

Jahn Frederik Grue, Sigurd Storve, Ole Christian Mjølstad, Øyvind Olav Salvesen et autres

Introduction: With the increasing use of pocket-sized ultrasound devices by inexperienced users, automated measurements of left ventricular (LV) function will represent an advantage. LV longitudinal function is reduced in patients with systolic and diastolic dysfunction, and can be quantified by measuring the …

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0 citations European Heart Journal
2017 article OpenAlex

Fast Simulation of Dynamic Ultrasound Images Using the GPU

Sigurd Storve, Hans Garmann Torp

Simulated ultrasound data is a valuable tool for development and validation of quantitative image analysis methods in echocardiography. Unfortunately, simulation time can become prohibitive for phantoms consisting of a large number of point scatterers. The COLE algorithm by Gao et al. is …

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7 citations IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
Accès ouvert 2017 article OpenAlex

Automatic Measurement of Fetal Abdominal Biometric Parameters—Feasibility on a Portable Ultrasound Device

Naiad Hossain Khan, Eva Tegnander, Sigurd Storve, Johan Morten Dreier et autres

An automatic method for measuring the fetal mean abdominal diameter (MAD) or abdominal circumference (AC) with ultrasound is proposed. From a correctly presented abdominal section suitable for MAD or AC measurement, the location of fetal abdomen is detected by image processing. Thereafter, …

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0 citations Open Journal of Obstetrics and Gynecology
2016 article OpenAlex

Realtime Automatic Assessment of Cardiac Function in Echocardiography

Sigurd Storve, Jahn Frederik Grue, Stein Olav Samstad, Håvard Dalen et autres

Assessment of cardiac function by echocardiography is challenging for nonexperts. In a patient with dyspnea, quantification of the mitral annular excursion (MAE) and velocities is important for the diagnosis of heart failure. The displacement of the atrioventricular (AV) plane is a good …

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23 citations IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
2015 conference-paper OpenAlex

Use of B-splines in fast dynamic ultrasound RF simulations

Sigurd Storve, Hans Garmann Torp

Synthetic ultrasound data is invaluable for applications such as tuning image segmentation algorithms. Unfortunately, simulation time can become prohibitive for phantoms consisting of a large number of point-scatterers. In such cases, simplified simulation algorithms can be useful, and trade accuracy for speed. …

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2 citations
2014 conference-paper OpenAlex

Realtime automatic detection of heart failure in echocardiography

Sigurd Storve, Jahn Frederik Grue, Stein Olav Samstad, Håvard Dalen et autres

Assessment of heart function by echocardiography is challenging for non-experts. In a patient with dyspnea, assessment of mitral annular excursion (MAE) and velocities are important for the diagnosis of heart failure. By automatic measurement of these parameters, a preliminary diagnosis could be …

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3 citations

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