A unified framework for exact cone-beam reconstruction formulas.
نویسندگان
چکیده
In this paper, we present concise proofs of several recently developed exact cone-beam reconstruction methods in the Tuy inversion framework, including both filtered-backprojection and backprojection-filtration formulas in the cases of standard spiral, nonstandard spiral, and more general scanning loci. While a similar proof of the Katsevich formula was previously reported, we present a new proof of the Zou and Pan backprojection-filtration formula. Our proof combines both odd and even data extensions so that only the cone-beam transform itself is utilized in the backprojection-filtration inversion. More importantly, our formulation is valid for general smooth scanning curves, in agreement with an earlier paper from our group [Ye, Zhao, Yu, and Wang, Proc. SPIE 5535, 293-300 (Aug. 6 2004)]. As a consequence of that proof, we obtain a new inversion formula, which is in a two-dimensional filtering backprojection format. A possibility for generalization of the Katsevich filtered-backprojection reconstruction method is also discussed from the viewpoint of this framework.
منابع مشابه
Fan-beam and cone-beam image reconstruction via filtering the backprojection image of differentiated projection data.
In this paper, a new image reconstruction scheme is presented based on Tuy's cone-beam inversion scheme and its fan-beam counterpart. It is demonstrated that Tuy's inversion scheme may be used to derive a new framework for fanbeam and cone-beam image reconstruction. In this new framework, images are reconstructed via filtering the backprojection image of differentiated projection data. The new ...
متن کاملOn-the-fly-Reconstruction in Exact Cone-Beam CT using the Cell Broadband Engine Architecture
In medical imaging a high image quality is required. Exact cone-beam reconstruction algorithms, e.g. the Mline method, provide excellent image quality without any cone artifacts. Although the M-line approach is still of a filtered backprojection style, it has an increased computational complexity as it requires additional computations for the filtering of the projection images, e.g. derivative ...
متن کاملLimited view CT reconstruction and segmentation via constrained metric labeling
This paper proposes a new discrete optimization framework for tomographic reconstruction and segmentation of CT volumes when only a few projection views are available. The problem has important clinical applications in coronary angiographic imaging. We first show that the limited view reconstruction and segmentation problem can be formulated as a "constrained" version of the metric labeling pro...
متن کاملPractical Helical Cone Beam Algorithm for the Long Object Problem
Cone beam computed tomography (CT) based on nonplanar orbits has been an active area of research toward the goal of producing an exact volumetric reconstruction. To date, most reconstruction algorithms for non-planar orbits have been based on the theoretical framework of Tuy[1], Smith [2] and Grangeat[3]. Of all the investigated non-planar orbits, the helical scanning geometry is most promising...
متن کاملکاربرد تکنیک تصویربرداری Cone Beam Computed Tomography در تشخیص ودرمان سنترال ژانت سل گرانولوما تومور ؛ گزارش یک مورد
Introduction: Central giant cell granuloma (CGCG) is a relatively rare and non neoplastic tumor with unclear exact etiology that is reported in children. Cone beam computed tomography (CBCT) technique for precise diagnosis and treatment of the jaw lesions is recommended in the recent years. The object of this case-report study is to use CBCT in the diagnosis and treatment of CGCG. Case Repor...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Medical physics
دوره 32 6 شماره
صفحات -
تاریخ انتشار 2005