成像体模
算法
扫描仪
计算机科学
心肌灌注成像
医学影像学
分割
人工智能
计算机视觉
核医学
生物医学工程
灌注
医学
放射科
作者
Jacob Levi,Hao Wu,Brendan Eck,Rachid Fahmi,Mani Vembar,Amar Dhanantwar,Anas Fares,Hiram G. Bezerra,David L. Wilson
摘要
Myocardial perfusion imaging using computed tomography (MPI-CT) and coronary CT angiography (CTA) have the potential to make CT an ideal noninvasive imaging gatekeeper exam for invasive coronary angiography. However, beam hardening can prevent accurate blood flow estimation in dynamic MPI-CT and can create artifacts that resemble flow deficits in single-shot MPI-CT. In this work, we compare four automatic beam hardening correction algorithms (ABHCs) applied to CT images, for their ability to produce accurate single images of contrast and accurate MPI flow maps using images from conventional CT systems, without energy sensitivity.
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