Segmental biventricular analysis of myocardial function using high temporal and spatial resolution tissue phase mapping
Myocardial dysfunction of the right ventricle (RV) is an important indicator of RV diseases, e.g. RV infarction or pulmonary hypertension. Tissue phase mapping (TPM) has been widely used to determine function of the left ventricle (LV) by analyzing myocardial velocities. The analysis of RV motion is more complicated due to the different geometry and smaller wall thickness. The aim of this work was to adapt and optimize TPM to the demands of the RV.
Materials and methods
TPM measurements were acquired in 25 healthy volunteers using a velocity-encoded phase-contrast sequence and kt-accelerated parallel imaging in combination with optimized navigator strategy and blood saturation. Post processing was extended by a 10-segment RV model and a detailed biventricular analysis of myocardial velocities was performed.
High spatio-temporal resolution (1.0 × 1.0 × 6 mm3, 21.3 ms) and the optimized blood saturation enabled good delineation of the RV and its velocities. Global and segmental velocities, as well as time to peak velocities showed significant differences between the LV and RV. Furthermore, complex timing of the RV could be demonstrated by segmental time to peak analysis.
High spatio-temporal resolution TPM enables a detailed biventricular analysis of myocardial motion and might provide a reliable tool for description and detection of diseases affecting left and right ventricular function.
KeywordsRight ventricle Tissue Phase Mapping Phase-contrast velocity mapping Biventricular analysis
We would like to thank Alexandra Mannweiler for recruiting volunteers and Adriana Komancsek for assistance in performing the MR examinations.
This research was supported by the Deutsche Forschungsgemeinschaft (DFG), Grant FO 507/3-1.
MM: Protocol/project development, Data collection or management, Data analysis; DF: Protocol/project development, Data collection or management, Data analysis; JH: Protocol/project development; BJ: Protocol/project development, Data collection or management, Data analysis.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all individual participants included in the study.
- 3.Vitarelli A, Franciosa P, Nguyen BL, Capotosto L, Ciccaglioni A, Conde Y, Iorio G, De Curtis G, Caranci F, Vitarelli M, Lucchetti P, Dettori O, De Cicco V (2011) Additive value of right ventricular dyssynchrony indexes in predicting the success of cardiac resynchronization therapy: a Speckle-Tracking Imaging Study. J Card Fail 17:392–402CrossRefPubMedGoogle Scholar
- 4.Wang J, Prakasa K, Bomma C, Tandri H, Dalal D, James C, Tichnell C, Corretti M, Bluemke D, Calkins H, Abraham TP (2007) Comparison of novel echocardiographic parameters of right ventricular function with ejection fraction by cardiac magnetic resonance. J Am Soc Echocardiogr 20:1058–1064CrossRefPubMedGoogle Scholar
- 5.Hennig J, Schneider B, Peschl S, Markl M, Laubenberger TKJ (1998) Analysis of myocardial motion based on velocity measurements with a black blood prepared segmented gradient-echo sequence: methodology and applications to normal volunteers and patients. J Magn Reson Imaging 8:868–877CrossRefPubMedGoogle Scholar
- 7.Menza, Marius, Föll D, Hennig J, Jung B (2016) Spiral SPIRIT tissue phase mapping enables the acquisition of myocardial motion with high temporal and spatial resolution during breath-hold. Proc. 24th Annu. Meet. ISMRM. Singapore, p 3131Google Scholar
- 9.Delfino JG, Bhasin M, Cole R, Eisner RL, Merlino J, Leon AR, Oshinski JN (2006) Comparison of myocardial velocities obtained with magnetic resonance phase velocity mapping and tissue doppler imaging in normal subjects and patients with left ventricular dyssynchrony. J Magn Reson Imaging 24:304–311CrossRefPubMedGoogle Scholar
- 11.Marsan NA, Westenberg JJM, Tops LF, Ypenburg C, Holman ER, Reiber JHC, de Roos A, van der Wall EE, Schalij MJ, Roelandt JR, Bax JJ (2008) Comparison between tissue Doppler imaging and velocity-encoded magnetic resonance imaging for measurement of myocardial Velocities, assessment of left ventricular dyssynchrony, and estimation of left ventricular filling pressures in patients with ischemic cardiomyopathy. Am J Cardiol 102:1366–1372CrossRefPubMedGoogle Scholar
- 14.Dong SJ, MacGregor JH, Crawley AP, McVeigh E, Belenkie I, Smith ER, Tyberg JV, Beyar R (1994) Left ventricular wall thickness and regional systolic function in patients with hypertrophic cardiomyopathy. A three-dimensional tagged magnetic resonance imaging study. Circulation 90:1200–1209CrossRefPubMedPubMedCentralGoogle Scholar
- 16.Schneider B, Markl M, Geiges C, Winterer J, Thuerl C, Laubenberger J, Hennig J, Langer M (2001) Cardiac phase contrast gradient echo MRI characterization of abnormal left ventricular wall motion in patients with ischemic heart disease. [Miscellaneous Article]. J Comput Assist Tomogr 25:550–557CrossRefPubMedGoogle Scholar
- 25.Kayser MDHWM, van der Geest Msc RJ, van der Wall MDEE, Duchateau Msc C, de Roos MDA (2000) Right ventricular function in patients after acute myocardial infarction assessed with phase contrast MR velocity mapping encoded in three directions. J Magn Reson Imaging 11:471–475CrossRefPubMedGoogle Scholar
- 27.Lang RM, Bierig M, Devereux RB, Flachskampf FA, Foster E, Pellikka PA, Picard MH, Roman MJ, Seward J, Shanewise J, Solomon S, Spencer KT, Sutton MSJ, Stewart W (2006) Recommendations for chamber quantification. Eur Heart J Cardiovasc Imaging 7:79–108Google Scholar
- 28.Jurcut R, Giusca S, Gerche AL, Vasile S, Ginghina C, Voigt J-U (2010) The echocardiographic assessment of the right ventricle: what to do in 2010? Eur Heart J Cardiovasc Imaging 11:81–96Google Scholar
- 32.Codreanu I, Pegg TJ, Selvanayagam JB, Robson MD, Rider OJ, Dasanu CA, Jung BA, Taggart DP, Golding SJ, Clarke K, Holloway CJ (2014) Normal values of regional and global myocardial wall motion in young and elderly individuals using navigator gated tissue phase mapping. AGE 36:231–241CrossRefPubMedGoogle Scholar
- 40.Buckberg G, Hoffman JIE (2014) Right ventricular architecture responsible for mechanical performance: unifying role of ventricular septum. J Thorac Cardiovasc Surg 148(3166–3171):e4Google Scholar
- 42.Nikitin NP, Witte KKA, Thackray SDR, de Silva R, Clark AL, Cleland JGF (2003) Longitudinal ventricular function: normal values of atrioventricular annular and myocardial velocities measured with quantitative two-dimensional color doppler tissue imaging. J Am Soc Echocardiogr 16:906–921CrossRefPubMedGoogle Scholar
- 47.Nagao M, Yamasaki Y, Yonezawa M, Matsuo Y, Kamitani T, Yamamura K, Sakamoto I, Abe K, Kawanami S, Honda H (2015) Interventricular dyssynchrony using tagging magnetic resonance imaging predicts right ventricular dysfunction in adult congenital heart disease. Congenit Heart Dis 10:271–280CrossRefPubMedGoogle Scholar
- 48.Naito H, Arisawa J, Harada K, Yamagami H, Kozuka T, Tamura S (1995) Assessment of right ventricular regional contraction and comparison with the left ventricle in normal humans: a cine magnetic resonance study with presaturation myocardial tagging. Br Heart J 74:186–191CrossRefPubMedPubMedCentralGoogle Scholar
- 56.Schuster A, Stahnke V-C, Unterberg-Buchwald C, Kowallick JT, Lamata P, Steinmetz M, Kutty S, Fasshauer M, Staab W, Sohns JM, Bigalke B, Ritter C, Hasenfuß G, Beerbaum P, Lotz J (2015) Cardiovascular magnetic resonance feature-tracking assessment of myocardial mechanics: intervendor agreement and considerations regarding reproducibility. Clin Radiol 70:989–998CrossRefPubMedPubMedCentralGoogle Scholar