Intracranial vessel wall imaging framework – Data acquisition,processing, and visualization |
| |
| Institution: | 1. Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany;2. Department of Radiology, Medical Physics, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany;3. Siemens Healthcare GmbH, Erlangen, Germany;4. Department of Neuroradiology, Medical Physics, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany;5. Department of Experimental Physics 5 (Biophysics), University of Würzburg, Würzburg, Germany;1. Department of Earth Sciences, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy;2. National Research Council - Institute for Complex Systems (CNR-ISC) c/o Physics Department Sapienza University of Rome, Rome, Italy;3. Consiglio Nazionale delle Ricerche - Istituto per la Microelettronica e Microsistemi (CNR-IMM) Bologna, P. Gobetti 101, 40129 Bologna, Italy;4. Consiglio Nazionale delle Ricerche - Istituto per lo Studio dei Materiali Nanostrutturati (CNR-ISMN) Bologna, P. Gobetti 101, 40129 Bologna, Italy;5. Department of Mathematical and Computational Sciences, Physics Science and Earth Sciences (MIFT), University of Messina, Messina 98166, Italy;6. Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Piazza del Viminale 1, 00184 Rome, Italy;1. Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki-city, Okayama 701-0192, Japan;2. Department of Pathology, Kawasaki Medical School, 577 Matsushima, Kurashiki-city, Okayama 701-0192, Japan;3. Department of Radiology, Radiolonet Tokai, Asaoka-cho 3-86-2, Chikusa-ku, Nagoya-city, Aichi 464-0811, Japan;4. Philips Japan, Konan 2-13-37, Minato-ku, Tokyo 108-8507, Japan;5. Department of Urology, Kawasaki Medical School, 577 Matsushima, Kurashiki-city, Okayama 701-0192, Japan;1. Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands;2. School of Biomedical Engineering & Imaging Sciences, King''s College London, St Thomas'' Hospital, London, United Kingdom |
| |
| Abstract: | ObjectiveAssessment of vessel walls is an integral part in diagnosis and disease monitoring of vascular diseases such as vasculitis. Vessel wall imaging (VWI), in particular of intracranial arteries, is the domain of Magnetic Resonance Imaging (MRI) – but still remains a challenge. The tortuous anatomy of intracranial arteries and the need for high resolution within clinically acceptable scan times require special technical conditions regarding the hardware and software environments.Materials and methodsIn this work a dedicated framework for intracranial VWI is presented offering an optimized, black-blood 3D T1-weighted post-contrast Compressed Sensing (CS)-accelerated MRI sequence prototype combined with dedicated 3D-GUI supported post-processing tool for the CPR visualization of tortuous arbitrary vessel structures.ResultsUsing CS accelerated MRI sequence, the scanning time for high-resolution 3D black-blood CS-space data could be reduced to under 10 min. These data are adequate for a further processing to extract straightened visualizations (curved planar reformats – CPR). First patient data sets could be acquired in clinical environment.ConclusionA highly versatile framework for VWI visualization was demonstrated utilizing a post-processing tool to extract CPR reformats from high-resolution 3D black-blood CS-SPACE data, enabling simplified and optimized assessment of intracranial arteries in intracranial vascular disorders, especially in suspected intracranial vasculitis, by stretching their tortuous course. The processing time from about 15–20 min per patient (data acquisition and further processing) allows the integration into clinical routine. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
