Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jürgen Rößler is active.

Publication


Featured researches published by Jürgen Rößler.


Journal of Cardiovascular Magnetic Resonance | 2013

Demonstration of value of optimizing ECG triggering for cardiovascular magnetic resonance in patients with congenital heart disease

Thomas Knesewitsch; Christian Meierhofer; Henrike Rieger; Jürgen Rößler; Michael Frank; Stefan Martinoff; John Hess; Heiko Stern; Sohrab Fratz

BackgroundOptimal ECG triggering is of paramount importance for correct blood flow quantification during cardiovascular magnetic resonance (CMR). However, optimal ECG triggering and therefore blood flow quantification is impaired in many patients with congenital heart disease (CHD) due to complex QRS patterns. Therefore, a new ECG-trigger algorithm was developed to address triggering problems due to complex QRS patterns.The aim of this study was to test this new ECG-trigger algorithm in routine patients with CHD and its impact on blood flow quantification.Methods35 consecutive routine patients with CHD undergoing CMR were included in the study. (40% Fallot’s Tetralogy, 20% aortic arch pathology, 14% transposition of the great arteries, 26% others; age 26+/−11 yrs).In all patients, blood flow in the ascending aorta was quantified using the old ECG-trigger algorithm and the new ECG-trigger algorithm in random order. Blood flow quantified using the old or new ECG-trigger algorithm was compared by Bland-Altman analysis.Three blinded investigators evaluated the vector clouds and trigger points of both ECG-trigger methods. Evaluation criteria were false positive and false negative triggered QRS complexes (specificity and sensitivity), and accuracy of detection. Accuracy of detection was defined as time scatter of the trigger around the correct trigger point.ResultsSpecificity, sensitivity, and accuracy of detection significantly increased using the new ECG-trigger algorithm compared to the old ECG-trigger algorithm.Blood flow quantification using the old or new ECG-trigger algorithm differed more than 5% in 31% of the cases.ConclusionsOur results suggest that optimizing ECG triggering during CMR using our new algorithm can avoid errors of >5% in approximately 1/3 of routine patients with congenital heart disease (CHD). We furthermore suggest that incorrect ECG triggering appears to be problematic for blood flow quantification of many patients with CHD undergoing routine CMR.


Archive | 2010

Method for identifying R-wave in ECG signal for monitoring cardiac function of patient, involves determining reference quantity from reference ECG signal which is in interval before and after occurrence of R-wave

Michael Frank; Jürgen Rößler


Archive | 2012

Verfahren zu einer Generierung eines Triggersignals mittels eines EKG-Signals, insbesondere einer R-Zacke des EKG-Signals, sowie eine EKG-Messvorrichtung und ein Magnetresonanzgerät

Michael Frank; Jürgen Rößler


Archive | 2012

Messvorrichtung sowie eine Magnetresonanzvorrichtung mit einer Messvorrichtung

Bernd Assmann; Michael Frank; Sven Heggen; Ernst Mustafa; Jürgen Rößler


Archive | 2011

Verfahren zur Korrektur von Störsignalen in einem Magnetresonanzgerät bei der Bestimmung eines Zeitpunkts im Herzzyklus eines Patienten und Magnetresonanzgerät

Jürgen Rößler


Archive | 2009

Korrekturverfahren und Magnetresonanzgerät

Nikolaus Demharter; Michael Frank; Sven Heggen; Ernst Mustafa; Jürgen Rößler


Archive | 2016

Verfahren zur Bestimmung einer R-Zacke in einem EKG-Signal, EKG-Messvorrichtung und medizinisches Bildgebungsgerät

Jürgen Rößler


Archive | 2015

Medical Imaging System

Bernd Assmann; Jürgen Rößler


Archive | 2015

Korrektur von kapazitiv aufgenommenen EKG-Signalen in Verbindung Messungen mit einem medizinischen bildgebenden Untersuchungsgerät

Jürgen Rößler


Archive | 2012

Messvorrichtung, Ladevorrichtung, sowie eine Magnetresonanzvorrichtung mit einer Messvorrichtung und ein Aufladeverfahren hierzu

Bernd Assmann; Michael Frank; Sven Heggen; Ernst Mustafa; Jürgen Rößler

Collaboration


Dive into the Jürgen Rößler's collaboration.

Researchain Logo
Decentralizing Knowledge