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手持式基于容积手动压缩的定量微弹性成像技术。

Handheld volumetric manual compression-based quantitative microelastography.

机构信息

BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia.

Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia.

出版信息

J Biophotonics. 2020 Jun;13(6):e201960196. doi: 10.1002/jbio.201960196. Epub 2020 Feb 27.

Abstract

Compression optical coherence elastography (OCE) typically requires a mechanical actuator to impart a controlled uniform strain to the sample. However, for handheld scanning, this adds complexity to the design of the probe and the actuator stroke limits the amount of strain that can be applied. In this work, we present a new volumetric imaging approach that utilizes bidirectional manual compression via the natural motion of the user's hand to induce strain to the sample, realizing compact, actuator-free, handheld compression OCE. In this way, we are able to demonstrate rapid acquisition of three-dimensional quantitative microelastography (QME) datasets of a tissue volume (6 × 6 × 1 mm ) in 3.4 seconds. We characterize the elasticity sensitivity of this freehand manual compression approach using a homogeneous silicone phantom and demonstrate comparable performance to a benchtop mounted, actuator-based approach. In addition, we demonstrate handheld volumetric manual compression-based QME on a tissue-mimicking phantom with an embedded stiff inclusion and on freshly excised human breast specimens from both mastectomy and wide local excision (WLE) surgeries. Tissue results are coregistered with postoperative histology, verifying the capability of our approach to measure the elasticity of tissue and to distinguish stiff tumor from surrounding soft benign tissue.

摘要

压缩光学相干弹性成像(OCE)通常需要机械致动器向样品施加受控的均匀应变。然而,对于手持式扫描,这会增加探头设计的复杂性,并且致动器行程限制了可以施加的应变量。在这项工作中,我们提出了一种新的体积成像方法,该方法利用用户手部的自然运动进行双向手动压缩,从而向样品施加应变,实现了紧凑、无致动器、手持式压缩 OCE。通过这种方式,我们能够在 3.4 秒内快速获取组织体积(6×6×1mm)的三维定量微弹性成像(QME)数据集。我们使用均质硅酮模型来表征这种自由手手动压缩方法的弹性灵敏度,并证明其性能可与基于台式安装的致动器方法相媲美。此外,我们还在具有嵌入式硬夹杂物的组织模拟模型以及来自乳房切除术和广泛局部切除(WLE)手术的新鲜切除的人乳房标本上进行了基于手持式体积手动压缩的 QME。组织结果与术后组织学进行配准,验证了我们的方法能够测量组织的弹性并区分坚硬的肿瘤与周围柔软的良性组织的能力。

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