心血管病学中的高级超声和光声成像。

Suppr 超能文献

核心技术专利：CN118964589B侵权必究

Suppr 超能文献

核心技术专利：CN118964589B侵权必究

Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.

Medical Image Analysis Group (IMAG/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.

Sensors (Basel). 2021 Nov 28;21(23):7947. doi: 10.3390/s21237947.

Cardiovascular diseases (CVDs) remain the leading cause of death worldwide. An effective management and treatment of CVDs highly relies on accurate diagnosis of the disease. As the most common imaging technique for clinical diagnosis of the CVDs, US imaging has been intensively explored. Especially with the introduction of deep learning (DL) techniques, US imaging has advanced tremendously in recent years. Photoacoustic imaging (PAI) is one of the most promising new imaging methods in addition to the existing clinical imaging methods. It can characterize different tissue compositions based on optical absorption contrast and thus can assess the functionality of the tissue. This paper reviews some major technological developments in both US (combined with deep learning techniques) and PA imaging in the application of diagnosis of CVDs.

心血管疾病（CVDs）仍然是全球范围内的主要死亡原因。CVDs 的有效管理和治疗高度依赖于对该疾病的准确诊断。作为 CVDs 临床诊断的最常见成像技术，超声成像得到了深入的探索。特别是随着深度学习（DL）技术的引入，近年来超声成像取得了巨大的进步。光声成像（PAI）是除现有临床成像方法之外最有前途的新型成像方法之一。它可以基于光吸收对比度来描述不同的组织成分，从而评估组织的功能。本文综述了在 CVDs 诊断应用中，超声（结合深度学习技术）和 PA 成像的一些主要技术发展。