Pediatric magnetic resonance imaging: faster is better
Creators
- 1. Department of Radiology, Harvard Medical School, Boston, MA (United States)
- 2. Department of Radiology, Massachusetts General Hospital, Boston, MA (United States)
- 3. Department of Radiology, Boston Children's Hospital, 300 Longwood Ave., 2nd floor, Main Building, 02115, Boston, MA (United States)
Description
Magnetic resonance imaging (MRI) has emerged as the preferred imaging modality for evaluating a wide range of pediatric medical conditions. Nevertheless, the long acquisition times associated with this technique can limit its widespread use in young children, resulting in motion-degraded or non-diagnostic studies. As a result, sedation or general anesthesia is often necessary to obtain diagnostic images, which has implications for the safety profile of MRI, the cost of the exam and the radiology department's clinical workflow. Over the last decade, several techniques have been developed to increase the speed of MRI, including parallel imaging, single-shot acquisition, controlled aliasing techniques, compressed sensing and artificial-intelligence-based reconstructions. These are advantageous because shorter examinations decrease the need for sedation and the severity of motion artifacts, increase scanner throughput, and improve system efficiency. In this review we discuss a framework for image acceleration in children that includes the synergistic use of state-of-the-art MRI hardware and optimized pulse sequences. The discussion is framed within the context of pediatric radiology and incorporates the authors' experience in deploying these techniques in routine clinical practice.
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00247-022-05529-xAdditional details
Identifiers
Publishing Information
- Journal Title
- Pediatric Radiology
- Journal Volume
- 53
- Journal Issue
- 7
- Journal Page Range
- p. 1270-1284
- ISSN
- 0301-0449
- CODEN
- PDRYA5
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 54079543
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ANESTHESIA; ARTIFICIAL INTELLIGENCE; CHILDREN; DATA COMPILATION; EFFICIENCY; IMAGE PROCESSING; NMR IMAGING; PEDIATRICS; REVIEWS; SAFETY; TIME DEPENDENCE
- Descriptors DEC
- AGE GROUPS; ANIMALS; DATA; DATA PROCESSING; DIAGNOSTIC TECHNIQUES; DOCUMENT TYPES; HUMANS; INFORMATION; MAMMALS; MEDICINE; PRIMATES; PROCESSING; VERTEBRATES
Optional Information
- Notes
- Special issue: Improving protocols