Name
Title | ||
|---|---|---|
Assessment of cardiac motion effects on the fiber architecture of the human heart in vivo. |
Abstract | ||
|---|---|---|
The use of diffusion tensor imaging (DTI) for studying the human heart in vivo is very challenging due to cardiac motion. This paper assesses the effects of cardiac motion on the human myocardial fiber architecture. To this end, a model for analyzing the effects of cardiac motion on signal intensity is presented. A Monte-Carlo simulation based on polarized light imaging data is then performed to calculate the diffusion signals obtained by the displacement of water molecules, which generate diffusion weighted (DW) images. Rician noise and in vivo motion data obtained from DENSE acquisition are added to the simulated cardiac DW images to produce motion-induced datasets. An algorithm based on principal components analysis filtering and temporal maximum intensity projection (PCATMIP) is used to compensate for motion-induced signal loss. Diffusion tensor parameters derived from motion-reduced DW images are compared to those derived from the original simulated DW images. Finally, to assess cardiac motion effects on in vivo fiber architecture, in vivo cardiac DTI data processed by PCATMIP are compared to those obtained from one trigger delay (TD) or one single phase acquisition. The results showed that cardiac motion produced overestimated fractional anisotropy and mean diffusivity as well as a narrower range of fiber angles. The combined use of shifted TD acquisitions and postprocessing based on image registration and PCATMIP effectively improved the quality of in vivo DW images and subsequently, the measurement accuracy of fiber architecture properties. This suggests new solutions to the problems associated with obtaining in vivo human myocardial fiber architecture properties in clinical conditions. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TMI.2013.2269195 | IEEE Trans. Med. Imaging |
Keywords | Field | DocType |
motion induced signal loss,in vivo heart,signal intensity,motion compensation,monte carlo simulation,human myocardial fiber architecture,cardiology,principal components analysis filtering,dense acquisition,biodiffusion,temporal maximum intensity projection,monte carlo methods,motion,diffusion weighted images,diffusion tensor imaging,diffusion tensor imaging (dti),biomedical mri,polarized light imaging,cardiac motion effect,pcatmip,rician noise,fiber architecture,trigger delay,image registration,principal component analysis,medical image processing,human heart | Computer vision,Diffusion MRI,Fractional anisotropy,Motion compensation,Maximum intensity projection,Filter (signal processing),In vivo,Artificial intelligence,Accuracy and precision,Image registration,Mathematics | Journal |
Volume | Issue | ISSN |
32 | 10 | 1558-254X |
Citations | PageRank | References |
7 | 0.54 | 6 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongjiang Wei | 1 | 18 | 3.51 |
| Magalie Viallon | 2 | 12 | 3.65 |
| Benedicte M A Delattre | 3 | 12 | 2.37 |
| Lihui Wang | 4 | 7 | 0.54 |
| Vinay Pai | 5 | 235 | 13.75 |
| Han Wen | 6 | 10 | 2.08 |
| Hui Xue | 7 | 7 | 0.88 |
| Christoph Guetter | 8 | 89 | 7.99 |
| Pierre Croisille | 9 | 177 | 19.75 |
| Yuemin Zhu | 10 | 272 | 31.48 |