Intravoxel Incoherent Motion applied to Cardiac diffusion weighted MRI using breath-hold acquisitions in healthy volunteers

1532-429X-14-S1-P261 1532-429X Poster presentation Intravoxel Incoherent Motion applied to Cardiac diffusion weighted MRI using breath-hold acquisitions in healthy volunteers DelattreMBenedicte ViallonMagalie WeiHongjiang ZhuYuemin PaiMVinay WenHan CroisillePierre

CREATIS, CNRS (UMR5220), INSERM (U1044), Université de Lyon, Lyon, France

Department of Radiology, University Hospital of Geneva, Geneva, Switzerland

Department of Radiology, Université Jean-Monnet, Saint-Etienne, France

Imaging Physics Lab, BBC/NHLBI/NIH, Bethesda, MD, USA

Journal of Cardiovascular Magnetic Resonance Abstracts of the 15th Annual SCMR Scientific Sessions: 2012Meeting abstracts - A single PDF containing all abstracts in this supplement is available here.1532-429X-14-S1.pdf15th Annual SCMR Scientific SessionsOrlando, FL, USA

2-5 February 2012

http://www.scmr.org/1532-429X 2012 14 Suppl 1 P261 http://www.jcmr-online.com/content/14/S1/P261 10.1186/1532-429X-14-S1-P261 122012 2012Delattre et al; licensee BioMed Central Ltd.This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Background

Diffusion weighted imaging (DWI) gives rise to a unique method to evaluate perfusion and diffusion parameters of a tissue without the need of any contrast agent, with the introduction of the Intravoxel Incoherent Motion (IVIM) model (Le Bihan, Radiology 1988). Despite its relevance, cardiac DWI has so far been limited to low b-values primarily due to signal loss induced by physiological motion. Recently, an efficient cardiac DWI method was proposed where images were acquired at different time points of the cardiac cycle and where motion-induced signal-loss was removed by Principal Component Analysis (PCA) filtering and temporal MIP (tMIP) techniques (PCATMIP) (Rapacchi, Invest Radiol 2011). We compared the IVIM parameters obtained at a single optimized diastolic time point of the cardiac cycle (1TD) to the results obtained with PCATMIP technique.

Methods

Breath-hold DWI scans were performed on 12 volunteers for 10 trigger-delay values in diastole. 13 b-values ranged from 0 to 550 s/mm² were used. Signal intensity (SI) of the LV myocardium was fitted with the IVIM model corrected for T1/T2 relaxation (Lemke, MRM 2010).

Results

Figure 1 shows examples of DWI for 1TD and PCATMIP as well as maps of IVIM parameters. PCATMIP allowed the recovery of signal loss due to either intra-scan cardiac motion or RR variability over multiple breath-holds (see fig. 2). Perfusion fraction f, diffusion coefficient D and pseudo-diffusion coefficient D* were evaluated. The values of D measured for 1TD and for PCATMIP were similar (2.35±1.12x10^-3 mm²/s and 2.35±0.89x10^-3 mm²/s respectively, p=0.999). However, f was lower with 1TD than with PCATMIP (0.118±0.067 and 0.163±0.056 respectively, p=0.0018). Average D* obtained was 0.106 mm²/s for 1TD and 0.0763 mm²/s for PCATMIP.

Figure 1

DWIs for 1TD (a) and for PCATMIP (b) with corresponding maps of parameter f and D.

Figure 2

SI for images acquired at 10 different time points (legend indicates the trigger-delay in ms) for (a) volunteer with signal losses due to high R-R variability, (b) volunteer with very stable R-R cycle. Bold lines with star symbols correspond to the trigger delay giving the highest SI (1TD) while the black bold line (without symbols) corresponds to the SI obtained after PCATMIP.

Conclusions

This study demonstrates feasibility and reports for the first time cardiac IVIM parameters in normal humans. PCATMIP minimized the motion-induced signal loss which is the main problem in cardiac DWI. This study opens new perspectives for perfusion imaging without contrast media.

Funding

This work was supported by the French National Agency for Research (ANR).