Ensuring respiratory phase consistency to improve cardiac function quantification in real‐time CMR

2021 ◽  
Author(s):  
Chong Chen ◽  
Preethi Chandrasekaran ◽  
Yingmin Liu ◽  
Orlando P. Simonetti ◽  
Matthew Tong ◽  
...  
Keyword(s):  
Cardiac Function ◽  
Real Time ◽  
Respiratory Phase

scholarly journals Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radialk-tSENSE magnetic resonance imaging

2009 ◽  
Vol 29 (5) ◽  
pp. 1062-1070 ◽  
Author(s):  
Philipp Lurz ◽  
Vivek Muthurangu ◽  
Silvia Schievano ◽  
Johannes Nordmeyer ◽  
Philipp Bonhoeffer ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Cardiac Function ◽  
Real Time ◽  
Resonance Imaging ◽  
Volumetric Assessment

Real-time Ventricular Volumes and Cardiac Function in the Working Rat Heart

1994 ◽  
Vol 307 (2) ◽  
pp. 92-96
Author(s):  
Ian C. Gilchrist ◽  
Daniel G. Waksman ◽  
Michael D. Herr ◽  
Joseph J. McInerney
Keyword(s):  
Cardiac Function ◽  
Real Time ◽  
Rat Heart ◽  
Ventricular Volumes ◽  
Working Rat Heart

scholarly journals Acquisition and Analysis System of the Ballistocardiogram Signal Based on Virtual Instruments

2011 ◽  
Vol 2-3 ◽  
pp. 595-598
Author(s):  
Fang Fang Jiang ◽  
Xu Wang ◽  
Dan Yang ◽  
Yu Hao
Keyword(s):  
Heart Rate ◽  
Cardiac Function ◽  
Real Time ◽  
High Efficiency ◽  
Virtual Instruments ◽  
Invasive Technique ◽  
Operational Environment ◽  
Respiration Frequency ◽  
Non Invasive ◽  
Analysis System

Ballistocardiogram signal (BCG) is a non-invasive technique for the assessment of the cardiac function. It consists mainly of heart movement and the movement of blood in aorta, arteries, and periphery, which can be used to real-time monitor the heart rate and respiration frequency at home. In our laboratory, a sitting BCG detection chair has been designed successfully, and the acquisition and analysis system based on virtual instruments is proposed in this paper. MATLAB7.0 and LabVIEW8.5 were used to simulate the operational environment, and the results show high efficiency and accuracy in displaying waveform and spectrum, extracting main characteristics of heart rate and respiratory frequency, and alerting when abnormal heart-rate occurs.

Real-time respiratory phase matching between 2D fluoroscopic images and 3D CT images for precise percutaneous lung biopsy

2017 ◽  
Vol 44 (11) ◽  
pp. 5824-5834 ◽  
Author(s):  
Chijun Weon ◽  
Mina Kim ◽  
Chang Min Park ◽  
Jong Beom Ra
Keyword(s):  
Real Time ◽  
Lung Biopsy ◽  
Ct Images ◽  
Phase Matching ◽  
3D Ct ◽  
Respiratory Phase ◽  
Percutaneous Lung Biopsy

scholarly journals Automatic multi-cycle analysis of cardiac function from real-time MRI

2015 ◽  
Vol 17 (S1) ◽  
Author(s):  
Teodora Chitiboi ◽  
Anja Hennemuth ◽  
Lennart Tautz ◽  
Markus Huellebrand ◽  
Jens Frahm ◽  
...  
Keyword(s):  
Cardiac Function ◽  
Real Time

scholarly journals A New Approach to Improve the Hemodynamic Assessment of Cardiac Function Independent of Respiratory Influence

2021 ◽  
Author(s):  
Leslie Ogilvie ◽  
Brittany A. Edgett ◽  
Simon Gray ◽  
Sally Al-Mufty ◽  
Jason S. Huber ◽  
...  
Keyword(s):  
Cardiac Function ◽  
Diastolic Function ◽  
Diastolic Pressure ◽  
Systolic Pressure ◽  
Inspiratory Pressure ◽  
Strongly Correlated ◽  
Hemodynamic Assessment ◽  
Respiratory Phase ◽  
Systolic And Diastolic Function ◽  
And Function

Abstract Cardiovascular and respiratory systems are anatomically and functionally linked; inspiration produces negative intrathoracic pressures that act on the heart and alter cardiac function. Inspiratory pressures increase with heart failure and can exceed the magnitude of ventricular pressure during diastole. Accordingly, respiratory pressures may be a confounding factor to assessing cardiac function. While the interaction between respiration and the heart is well characterized, the extent to which systolic and diastolic indices are affected by inspiration is unknown. Our objective was to understand how inspiratory pressure affects the hemodynamic assessment of cardiac function. To do this, we developed custom software to assess and separate indices of systolic and diastolic function into inspiratory, early expiratory, and late expiratory phases of respiration. We then compared cardiac parameters during normal breathing and with various respiratory loads. Variations in inspiratory pressure had a small impact on systolic pressure and function. Conversely, diastolic pressure strongly correlated with negative inspiratory pressure. Cardiac pressures were less affected by respiration during expiration; late expiration was the most stable respiratory phase. In conclusion, inspiration is a large confounding influence on diastolic pressure, but minimally affects systolic pressure. Performing cardiac hemodynamic analysis by accounting for respiratory phase yields more accuracy and analytic confidence to the assessment of diastolic function.

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