Update on state-of-the-art for arterial spin labeling (ASL) human perfusion imaging outside of the brain.
Manuel TasoVeronica Aramendía-VidaurretaErin K EnglundSusan FrancisSuzanne L FranklinAnanth J MadhuranthakamPetros MartirosianKrishna Shrinivas NayakQin QinXingfeng ShaoDavid L ThomasZungho ZunMaria A Fernández-Searanull nullPublished in: Magnetic resonance in medicine (2023)
This review article provides an overview of developments for arterial spin labeling (ASL) perfusion imaging in the body (i.e., outside of the brain). It is part of a series of review/recommendation papers from the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion Study Group. In this review, we focus on specific challenges and developments tailored for ASL in a variety of body locations. After presenting common challenges, organ-specific reviews of challenges and developments are presented, including kidneys, lungs, heart (myocardium), placenta, eye (retina), liver, pancreas, and muscle, which are regions that have seen the most developments outside of the brain. Summaries and recommendations of acquisition parameters (when appropriate) are provided for each organ. We then explore the possibilities for wider adoption of body ASL based on large standardization efforts, as well as the potential opportunities based on recent advances in high/low-field systems and machine-learning. This review seeks to provide an overview of the current state-of-the-art of ASL for applications in the body, highlighting ongoing challenges and solutions that aim to enable more widespread use of the technique in clinical practice.
Keyphrases
- magnetic resonance
- cerebral blood flow
- machine learning
- clinical practice
- high resolution
- white matter
- contrast enhanced
- heart failure
- single molecule
- systematic review
- room temperature
- cerebral ischemia
- magnetic resonance imaging
- density functional theory
- computed tomography
- randomized controlled trial
- artificial intelligence
- atrial fibrillation
- diabetic retinopathy
- blood brain barrier
- multiple sclerosis
- human health
- big data
- pluripotent stem cells
- deep learning
- induced pluripotent stem cells