caa a22 4500 605546282 CHVBK 20210128100939.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00723-015-0713-0 doi (NATIONALLICENCE)springer-10.1007/s00723-015-0713-0 Microvascular Imaging Using Compressed Sensing at 7T MRI: A Preliminary Study [Elektronische Daten] [Chan-A Park, Daehun Kang, Young-Don Son, Hang-Keun Kim, Chang-Ki Kang] The aim of this study was to obtain high-resolution images with a short acquisition time using a compressed sensing (CS) technique for microvascular imaging, especially of the lenticulostriate arteries (LSAs), with 7T magnetic resonance imaging (MRI). Initially, two different radio frequency (RF) coils, birdcage and multi-channel phased array, were tested to compare images of micro-vessels acquired using the CS technique with those acquired using conventional magnetic resonance angiography (MRA) at 7T MRI. High-resolution CS MRA as well as low- and high-resolution conventional time-of-flight MRA images obtained with a multi-channel RF coil was compared to evaluate the feasibility of the CS technique for microvascular imaging. Signal intensities were then used to quantitatively estimate vessel sizes. Compared to low-resolution MRA, the CS technique improved the depiction of the LSAs and provided a substantially reduced partial volume effect of the vessels. Despite the short acquisition time of the CS technique, it clearly depicted the LSA morphology almost as well as the high-resolution MRA. The measured size difference between micro-vessels that were analyzed using the CS technique and those analyzed using high-resolution MRA was about 20%; however, the difference between the high-resolution and the low-resolution MRA was as high as 100%. This study evaluated the feasibility of the CS technique for microvascular imaging with 7T MRI. A CS technique that combines high-resolution imaging with a short acquisition time would be a very effective method for microvascular imaging in both research and clinical studies. Springer-Verlag Wien, 2015 Park Chan-A Bioimaging Research Team, Korea Basic Science Institute, Ochang, Chungbuk, Republic of Korea aut Kang Daehun Graduate School of Information Science and Kansei Fukushi Research Institute, Tohoku University, Sendai, Japan aut Son Young-Don Neuroscience Research Institute, Gachon University, Incheon, Republic of Korea aut Kim Hang-Keun Neuroscience Research Institute, Gachon University, Incheon, Republic of Korea aut Kang Chang-Ki Neuroscience Research Institute, Gachon University, Incheon, Republic of Korea aut Applied Magnetic Resonance Springer Vienna 46/11(2015-11-01), 1189-1197 0937-9347 46:11<1189 2015 46 723 https://doi.org/10.1007/s00723-015-0713-0 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00723-015-0713-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Park Chan-A Bioimaging Research Team, Korea Basic Science Institute, Ochang, Chungbuk, Republic of Korea aut NATIONALLICENCE 700 1- Kang Daehun Graduate School of Information Science and Kansei Fukushi Research Institute, Tohoku University, Sendai, Japan aut NATIONALLICENCE 700 1- Son Young-Don Neuroscience Research Institute, Gachon University, Incheon, Republic of Korea aut NATIONALLICENCE 700 1- Kim Hang-Keun Neuroscience Research Institute, Gachon University, Incheon, Republic of Korea aut NATIONALLICENCE 700 1- Kang Chang-Ki Neuroscience Research Institute, Gachon University, Incheon, Republic of Korea aut NATIONALLICENCE 773 0- Applied Magnetic Resonance Springer Vienna 46/11(2015-11-01), 1189-1197 0937-9347 46:11<1189 2015 46 723