Algorithm-Enabled Auto-Calibrating Quantitative Dual-Energy CT

项目摘要/摘要 该项目的目标是开发自动校准定量双能量CT(AC-QDECT)，通过 锥束CT精确同时重建图像和光谱的算法研究 (CBCT)。定量DECT(QDECT)是公认的具有显著临床改进潜力的技术 疾病诊断和管理，目前仅在高级诊断(Dx)CT上执行，其中 光谱必须从单独的测量中作为先验估计。到目前为止，还没有多少努力开发非 DX QDECT系统，如CBCT，用于外科和放射治疗(RT)；这是 这就是说，在当前的CBCT成像中，精确的光谱不能在实验中容易地测量/估计。在……里面 具有AC-QDECT能力的CBCT，图像和光谱都被视为等价的未知数 并开发了一种非凸原始对偶(NCPD)算法来同时产生图像和 只能从数据中获取光谱。我们还将使用NCPD算法在CBCT上启用AC-QDECT功能 创新的局部扫描配置具有临床应用意义。最后，我们将评估AC- 在广泛的模拟和真实数据研究中，在CBCT上启用了QDECT功能。项目假设是 具有AC-QDECT能力的CBCT可以通过使用NCPD算法来定量地实现 准确的图像没有光谱作为先验估计，从单独的测量。《公约》的具体目标 项目是(1)开发NCPD算法，以便在CBCT上启用AC-QDECT能力；(2)开发NCPD算法 对基于CBCT的AC-QDECT性能进行了原型和评估。这个项目是建立在我们成功的基础上的 研究QDECT和CBCT的开发，以适应外科、RT和 整形外科。项目成果是建立了基于算法的AC-QDECT的可行性 在CBCT上的能力，大大扩展了CBCT的应用领域和用途。

Project Summary/Abstract The objective of the project is to develop auto-calibrating quantitative dual-energy CT (AC-QDECT) through algorithm development for accurate, simultaneous reconstruction of images and spectra on cone-beam CT (CBCT). Quantitative DECT (QDECT) is a recognized technique of significant clinical potential for improving disease diagnosis and management, and is performed currently only on advanced diagnostic (Dx) CT in which spectra must be estimated as a prior from separate measurements. There is little effort yet in developing non- Dx QDECT systems such as CBCT for use in, e.g., surgery and radiation therapy (RT); a leading reason for this is that accurate spectra cannot be measured/estimated readily in experiments in current CBCT imaging. In CBCT with AC-QDECT capability proposed, both images and spectra are treated as unknowns on an equal footing, and we develop a non-convex primal-dual (NCPD) algorithm simultaneously to yield images and spectra only from data. We will also use the NCPD algorithm to enable AC-QDECT capability on CBCT with innovative partial scanning configurations of clinical application significance. Finally, we will evaluate AC- QDECT capability enabled on CBCT in extensive simulated- and real-data studies. The project hypothesis is that CBCT with AC-QDECT capability can be enabled by use of the NCPD algorithm for yielding quantitatively accurate images without spectra as a priori estimated from separate measurements. The specific aims of the project are (1) to develop the NCPD algorithm for enabling AC-QDECT capability on CBCT and (2) to prototype and evaluate the AC-QDECT capability proposed on CBCT. The project is built upon our success research on the development of QDECT and CBCT tailored to applications growing rapidly in surgery, RT, and orthopedics. The project outcome is the establishment of the feasibility of algorithm-enabled AC-QDECT capability on CBCT, substantially expanding the application domain and utility of CBCT.