Hiroichi Yokoyama MS, Presenter: Nothing to Disclose

Kensuke Fujiwara RT, Abstract Co-Author: Nothing to Disclose

Toru Kimura RT, Abstract Co-Author: Nothing to Disclose

Satoshi Fujita, Abstract Co-Author: Nothing to Disclose

Shinzo Nishi MD, PhD, Abstract Co-Author: Nothing to Disclose

Reconstruction of Computed Tomography (CT) Cine mode images are not established yet, otherwise Magnetic Resonance (MR) images which has high quality of contrast, and/or Echo images with real time can be seen, are very useful for clinical examination.The quality of thoracic aortic fourth dimensional (4D) images with ECG-gated are not so enough. because of the radiation exposure.So we have reconstructed the blood flow CT images using with the new algorithm, Multi-Phase Volume Interpolation Technology (MVIT),then evaluated with the original images and new technical images.  

MVIT has two purposes for the images, a non-rigid registration based algorithm, 4D volumetric imaging simply presents the volume grid of voxels and fades from one phase to the next to show apparent motion. This voxel-to-voxel mapping of information enables the employment of additional algorithms that reduce noise, improve motion coherence, and measure function. First, we have studied the image quality of noise, using with the water phantom, standard deviation(SD) values were evaluated the original and the MVIT images. The results were mean SD values, 35.3/20.1 (original/MVIT), and with clinical CT images of the thoracic aortic aneurysm with dissection, which parts of the cardiac muscle, left ventricle and descending aortic artery. The results were40.3,38.1,33.6/34.3,30.8,24.5 (original / MVIT).We have evaluated the quality of 4D images of thoracic aneurysm with dissection, reconstructed the enhanced CT examination with the ECG-gated images from 0% to 90% phases, total 10 phases axial images.The 3D / 4D blood flow images was evaluated with these axial images, using with the algorithm of 4D motion analysis which quantifies regional displacement and velocity color mapping of blood flow of thoracic aneurysm with dissection.  

MVIT can improve the image quality by reducing noise, and 3D/4D images reveal very reality and with clearly visible view. Furthermore we have demonstrated functional blood flow with aortic dissection.  

This algorithm suggestions that may be widely applied in near future.

Using with the algorithm of MVIT, it could be made the visualization of turbulence flow image by MDCT.

Yokoyama, H, Fujiwara, K, Kimura, T, Fujita, S, Nishi, S, Evaluation of Vascular Images Using with MDCT (Multi Detector Computed Tomography) Reconstructed by Multi-Phase Volume Interpolation Technology.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14011182.html