Rapid 3D Ultrasound Tomography Reconstruction Methods for Guided Interventions

项目摘要/摘要 背景：超声作为一种便携的非放射性检查手段，已越来越多地被用于引导介入治疗。 乳腺、前列腺、脑、面部和颈部的活组织检查和外科手术。目前的2D手持式超 Sound和3D自动乳房超声系统(ABUS)都只使用超声fl数据来生成 图像。三维超声计算机层析成像(fl)是一种既能检测又能穿透的成像技术 数据，以提供更好的图像质量和潜在更好的诊断价值。 挑战：USCT图像重建带来了巨大计算复杂性的历史挑战 到它的非线性、非凸性。据我们所知，所有现有的具有高fiDelity的USCT算法都是 迭代的，基于优化的，因此承受着很大的计算负荷。这种计算量特别大 当更多的换能器被添加到系统以获得更多的解剖信息时，这是很麻烦的。 因此，迫切需要开发一种能够提供高fi清晰度和高速度的USCT成像方法 同时满足引导干预的要求。 方法：我们假设边界控制方法将实现非迭代的USCT图像重建， 导致fi不能显著提高计算效率，同时保证fi的可靠性和对噪声的稳健性。这 我们的初步研究已经从数学上证明了这个想法，并通过10倍的增长验证了它的有效性。 在保持高fi精确度水平的同时提高输入速度。开发的方法将是一种理想的非放射性方法 术中影像指导，为USCT图像重建算法研究带来新的视角。阿尔- 虽然这个项目并不打算用于临床，但我们将进行一个虚拟临床试验来系统地评估 开发的系统具有计算机模拟的体模、3D打印的体模和基于数字患者的 幻影。 影响：完成后，这项工作将实现计算轻量级、高fi清晰度、近乎实时的3D USCT成像系统，引导介入的理想选择。该系统具有以下潜力： ·EFfi可在不影响图像质量的情况下支持多得多的传感器。 ·使便携式USCT能够为指导性干预和其他临床应用提供强大的工具。 ·引领真正的实时3D USCT成像，并启发USCT的新应用。

Project Summary/Abstract Background: As a portable non-radioactive modality, ultrasound has been increasingly used in guided interven- tions such as biopsy and surgery procedure in breast, prostate, brain, face and neck. Current 2D handheld ultra- sound and 3D Automated Breast Ultrasound System (ABUS) both use only ultrasound reflection data to generate images. 3D Ultrasound Computed Tomography (USCT) was developed to use both reflection and transmission data to provide improved image quality and potentially better diagnostic value. Challenge: USCT image reconstruction presents a historical challenge of heavy computational complexity, due to its non-linear, non-convex nature. To our best knowledge, all existing USCT algorithms with high fidelity are iterative, optimization-based, and thus suffer a heavy computation load. This computation load is especially cumbersome when higher number of transducers are added to the system to obtain more anatomical information. Therefore, there is an urgent need to develop an USCT imaging method to provide high fidelity and high speed at the same time to satisfy the requirement of guided intervention. Method: We hypothesize that boundary control method will achieve non-iterative USCT image reconstruction, leading to significant increase in computational efficiency while warranting fidelity and robustness to noise. This idea has been mathematically proven and validated by our preliminary research with a 10-fold increase in com- putation speed while maintaining high fidelity level. The developed method will serve as an ideal non-radioactive intra-operative imaging guide, and bring new perspective to USCT imaging reconstruction algorithm research. Al- though this project is not intended for clinical use, we will perform a virtual clinical trial to systematically evaluate the developed system with computationally simulated phantoms, 3D-printed phantoms, and digital patient-based phantoms. Impact: Upon completion, this work will have achieved a computationally light, high-fidelity, near real-time 3D USCT imaging system, ideal for guided intervention. This system has the potential to: · Efficiently support considerably more transducers without compromising image quality. · Enable portable USCT to provide powerful tools for guided intervention and other clinical applications. · Lead to genuine real-time 3D USCT imaging and inspire new applications of USCT.