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In vivo adaptive focusing for clinical contrast-enhanced transcranial ultrasound imaging in human

经颅多普勒 微气泡 超声波 医学 图像质量 生物医学工程 人脑 放射科 计算机科学 人工智能 图像(数学) 精神科
作者
Justine Robin,Charlie Demené,Baptiste Heiles,Victor Blanvillain,Liene Puke,Fabienne Perren,Mickaël Tanter
出处
期刊:Physics in Medicine and Biology [IOP Publishing]
卷期号:68 (2): 025019-025019 被引量:11
标识
DOI:10.1088/1361-6560/acabfb
摘要

Objective. Imaging the human brain vasculature with high spatial and temporal resolution remains challenging in the clinic today. Transcranial ultrasound is still scarcely used for cerebrovascular imaging, due to low sensitivity and strong phase aberrations induced by the skull bone that only enable the proximal part major brain vessel imaging, even with ultrasound contrast agent injection (microbubbles).Approach. Here, we propose an adaptive aberration correction technique for skull bone aberrations based on the backscattered signals coming from intravenously injected microbubbles. Our aberration correction technique was implemented to image brain vasculature in human adults through temporal and occipital bone windows. For each subject, an effective speed of sound, as well as a phase aberration profile, were determined in several isoplanatic patches spread across the image. This information was then used in the beamforming process.Main results. This aberration correction method reduced the number of artefacts, such as ghost vessels, in the images. It improved image quality both for ultrafast Doppler imaging and ultrasound localization microscopy (ULM), especially in patients with thick bone windows. For ultrafast Doppler images, the contrast was increased by 4 dB on average, and for ULM, the number of detected microbubble tracks was increased by 38%.Significance. This technique is thus promising for better diagnosis and follow-up of brain pathologies such as aneurysms, arterial stenoses, arterial occlusions, microvascular disease and stroke and could make transcranial ultrasound imaging possible even in particularly difficult-to-image human adults.
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