Markus Henningsson
King's College London
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Publication
Featured researches published by Markus Henningsson.
Magnetic Resonance in Medicine | 2012
Markus Henningsson; Peter Koken; Christian Stehning; Reza Razavi; Claudia Prieto; René M. Botnar
Several self‐navigation techniques have been proposed to improve respiratory motion compensation in coronary MR angiography. In this work, we implemented a 2D self‐navigation method by using the startup profiles of a whole‐heart balanced Steady‐state free precession sequence, which are primarily used to catalyze the magnetization towards the steady‐state. To create 2D self‐navigation images (2DSN), we added phase encoding gradients to the startup profiles. With this approach we calculated foot–head and left–right motion and performed retrospective translational motion correction. The 2DSN images were reconstructed from 10 startup profiles acquired at the beginning of each shot. Nine healthy subjects were scanned, and the proposed method was compared to a 1D self‐navigation (1DSN) method with foot–head correction only. Foot–head correction was also performed with the diaphragmatic 1D pencil beam navigator (1Dnav) using a tracking factor of 0.6. 2DSN shows improved motion correction compared to 1DSN and 1Dnav for all coronary arteries and all subjects for the investigated diaphragmatic gating window of 10 mm. The visualized vessel length of the right coronary artery could be significantly improved with a multiple targeted 2D self‐navigation approach, compared to 2DSN method. Magn Reson Med, 2012.
Journal of Magnetic Resonance Imaging | 2015
Claudia Prieto; Mariya Ivanova Doneva; Muhammad Usman; Markus Henningsson; Gerald Greil; Tobias Schaeffter; René M. Botnar
To develop an efficient 3D affine respiratory motion compensation framework for Cartesian whole‐heart coronary magnetic resonance angiography (MRA).
Magnetic Resonance in Medicine | 2014
Markus Henningsson; Claudia Prieto; Amedeo Chiribiri; Ghislain Vaillant; Reza Razavi; René M. Botnar
Robust motion correction is necessary to minimize respiratory motion artefacts in coronary MR angiography (CMRA). The state‐of‐the‐art method uses a 1D feet‐head translational motion correction approach, and data acquisition is limited to a small window in the respiratory cycle, which prolongs the scan by a factor of 2–3. The purpose of this work was to implement 3D affine motion correction for Cartesian whole‐heart CMRA using a 3D navigator (3D‐NAV) to allow for data acquisition throughout the whole respiratory cycle.
Magnetic Resonance in Medicine | 2013
Markus Henningsson; Jouke Smink; Reza Razavi; René M. Botnar
Respiratory motion remains the major impediment in a substantial amount of patients undergoing coronary magnetic resonance angiography. Motion correction in coronary magnetic resonance angiography is typically performed with a diaphragmatic 1D navigator (1Dnav) assuming a constant linear relationship between diaphragmatic and cardiac respiratory motion. In this work, a novel 2D navigator (2Dnav) is proposed, which prospectively corrects for translational motion in foot–head and left–right direction. First, 1Dnav‐ and 2Dnav‐based motion correction are compared in 2D real time imaging experiments, by evaluating the residual respiratory motion in 10 healthy subjects as well as in a moving vessel phantom. Subsequently, 1Dnav and 2Dnav corrected high‐resolution 3D coronary MR angiograms were acquired, and both objective and subjective image quality were assessed. For a gating window of 10 mm, 1Dnav and 2Dnav performed equally well; however, without any respiratory gating, the 1Dnav had a lower visual score for all coronary arteries compared with 10 mm gating, whereas the 2Dnav without gating performed similar to 1Dnav with 10 mm gating. Magn Reson Med, 2013.
Magnetic Resonance in Medicine | 2015
Andy Aitken; Markus Henningsson; René M. Botnar; Tobias Schaeffter; Claudia Prieto
To develop a flexible image navigator for 3D coronary MR angiography that allows respiratory motion of variable complexity to be compensated for on different temporal scales.
Sensors | 2013
Markus Henningsson; René M. Botnar
Despite technical advances, respiratory motion remains a major impediment in a substantial amount of patients undergoing coronary magnetic resonance angiography (CMRA). Traditionally, respiratory motion compensation has been performed with a one-dimensional respiratory navigator positioned on the right hemi-diaphragm, using a motion model to estimate and correct for the bulk respiratory motion of the heart. Recent technical advancements has allowed for direct respiratory motion estimation of the heart, with improved motion compensation performance. Some of these new methods, particularly using image-based navigators or respiratory binning, allow for more advanced motion correction which enables CMRA data acquisition throughout most or all of the respiratory cycle, thereby significantly reducing scan time. This review describes the three components typically involved in most motion compensation strategies for CMRA, including respiratory motion estimation, gating and correction, and how these processes can be utilized to perform advanced respiratory motion compensation.
Circulation | 2013
Marcus R. Makowski; Markus Henningsson; Elmar Spuentrup; W. Yong Kim; David Maintz; Warren J. Manning; René M. Botnar
Coronary atherosclerosis remains the major cause of mortality in industrialized and developing nations.1 Clinical risk-scoring systems do not allow satisfactory identification of individuals with subclinical disease and at high risk for coronary events.2 Novel approaches to more reliably identify asymptomatic individuals at high risk for future cardiovascular events are therefore urgently needed. Subclinical atherosclerosis may precede the development of clinical disease by many decades, thereby offering the opportunity to target primary prevention therapies to those at highest risk.3 Because of its noninvasiveness, excellent soft-tissue contrast, and ability to visualize blood and the coronary vessel wall with and without contrast agents, magnetic resonance (MR) imaging (MRI) is a very promising imaging modality to assess coronary lumen integrity, plaque burden, and biological plaque composition. Studies investigating subclinical and clinical coronary atherosclerosis have included non–contrast-enhanced (NCE) and contrast-enhanced (CE) coronary vessel wall cardiovascular MR (CMR). Recent studies have shown that noninvasive MR angiography allows the assessment of the presence or absence of >50% coronary artery stenosis with a diagnostic accuracy comparable to that of multidetector computer tomography if performed in a head-to-head comparison and with similar pharmacological preparation.4,5 Technical improvements in coil design, image acquisition and reconstruction, and motion compensation have allowed shortening the total imaging time of whole-heart coronary MR angiography to ≈5 minutes while maintaining good diagnostic accuracy.6–8 Several single-center and multicenter trials have demonstrated the potential of this technique compared with both x-ray coronary angiography and multidetector computer tomography.4,9,10 Direct assessment of the coronary vessel wall thickness and remodeling has been demonstrated with NCE-CMR in patients with subclinical coronary artery disease, in patients with type 1 diabetes mellitus, and in a multiethnic population (Multi-Ethnic Study of Atherosclerosis [MESA]) cohort.11–13 Additionally, NCE-CMR has been …
Magnetic Resonance in Medicine | 2015
Markus Henningsson; Giel Mens; Peter Koken; Jouke Smink; René M. Botnar
To describe a new framework for interleaving scans and demonstrate its usefulness for image‐based respiratory motion correction in whole heart coronary MR angiography (CMRA).
Magnetic Resonance in Medicine | 2017
Gastão Cruz; David Atkinson; Markus Henningsson; René M. Botnar; Claudia Prieto
To develop a respiratory motion correction framework to accelerate free‐breathing three‐dimensional (3D) whole‐heart coronary lumen and coronary vessel wall MRI.
Magnetic Resonance in Medicine | 2014
Markus Henningsson; Giel Mens; Peter Koken; Jouke Smink; René M. Botnar
To describe a new framework for interleaving scans and demonstrate its usefulness for image‐based respiratory motion correction in whole heart coronary MR angiography (CMRA).