Copy of Digital Breast Tomosynthesis

我们建议将伦敦大学学院和牛津大学成像小组的技能与Dexela的专业知识相结合，Dexela是一家致力于DBT开发和商业化的英国中小企业，由来自美国的DBT领先研究人员共同创立。该项目将由Dexela管理。我们的临床咨询小组将包括来自伦敦国王学院医院、皇家马斯登医院和圣巴塞洛缪医院的放射科医生，以及美国马萨诸塞州总医院。我们项目的总体目标是通过提高其灵敏度和特异性，充分创造令人信服的临床和经济效益，将数字乳腺断层合成（DBT）作为乳腺癌检测的首选方式。我们将首先针对疑难病例（如致密乳房、既往手术、年轻女性、植入物和难以进入区域的可疑区域）建立DBT，最终目标是在国家筛查规划中取代乳房x光检查。该项目结合了乳房和新生儿大脑光学成像（Arridge）、乳房x线摄影图像处理（Brady）、注册和变化检测（Hawkes）和DBT （Dexela）方面的创新工作。虽然一些核心组成部分已经单独存在，但该项目是首次尝试将这些组成部分结合起来，预计在所有领域都将作出新的贡献。Dexela开发的新型DBT图像采集设备将具有优于现有系统的几何形状，并且在采集几何形状、乳房压缩和每次视图曝光参数方面具有显著的灵活性。该项目将探索通过复杂的图像处理来优化采集参数。创新的步骤包括：i)迭代重建方法适用于非常大的DBT数据集（超过1gb），而不是滤波后投影（FBP）， ii)宽90度角范围（主要为16-50度）和投影的可变角间距iii)投影之间的电压，电流和检测器分辨率变化（相对于不变参数）iv)投影图像数量少（11个相对于15- 48个），这导致更快的采集。更少的患者运动和更好的信噪比，v)实现智能图像采集，实时反馈图像采集参数，vi)创新地将4D重建方法与变化检测相结合。DBT中配准和自动比对的研究具有创新性，目前还没有类似的研究报道。这项创新工作可能在其他医疗和非医疗应用领域之外有应用。

We propose a project that combines the skills of the imaging groups at UCL and Oxford with the expertise of Dexela, a UK SME dedicated to the development and commercialisation of DBT that was co-founded by leading researchers in DBT from the US. The project will be managed by Dexela. Our clinical advisory group will comprise radiologists from King's College Hospital, the Royal Marsden Hospital, and St. Bartholomew's Hospital, all in London, together with The Massuchusetts General Hospital in the US. The overall aim of our project is to establish Digital Breast Tomosynthesis (DBT) as the modality of choice in breast cancer detection by enhancing its sensitivity and specificity sufficiently to create compelling clinical and economic benefits. We will first establish DBT for difficult cases (e.g. the dense breast, previous surgery, younger women, implants and suspicious regions in inaccessible areas), while aiming ultimately to replace mammography in national screening programmes. This project combines innovative work in optical imaging of the breast and neo-natal brain (Arridge), in mammography image processing (Brady), in registration and change detection (Hawkes) and DBT (Dexela). While some of the core components already exist in isolation, this project is the first attempt at such a combination and novel contributions are expected in all the areas. The new DBT image acquisition device developed by Dexela will have a superior geometry to existing systems and significant flexibility in acquisition geometry, breast compression and exposure parameters per view. The project will explore the optimisation of acquisition parameters informed by sophisticated image processing. The innovative steps concern: i) iterative reconstruction methods applied to very large DBT datasets (over 1 gigabyte) verses filtered back projection (FBP), ii) the wide 90 degree angular range (verses 16-50 degrees for the majors) and variable angular spacing of projections iii) varying voltage, current and detector resolution between projections (verses invariant parameters) iv) the low number of projection images (11 verses 15- 48), which results in faster acquisition, less patient movement and better signal to noise ratio, v) the implementation of Intelligent Image Acquisition which provides real-time feedback to the image acquisition parameters, and vi) the innovative combination of 4D reconstruction methods, and change detection. The work on registration and automated comparison in DBT is innovative and there is no similar research which has been reported related to DBT. This innovative work may have application beyond this field in other medical and non-medical applications.