The dual-ellipse cross vertex path for exact reconstruction of long objects in cone-beam tomography

Noo, Frédéric; Clack, R.; White, Timothy A.; Roney, T. J.

doi:10.1088/0031-9155/43/4/009

Cited by 26 publications

(27 citation statements)

References 16 publications

(23 reference statements)

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“…Several modified trajectories, such as circle-plus-arc, circle-plus-line, dualcircle, or saddle trajectories ( Fig. 6; [21][22][23][24][25][26][27][28]) try to resolve the first problem listed above (missing frequency data). In , a phantom known to demonstrate such a problem is shown for just a single-circle trajectory on the left and a dual-circle trajectory on the right.…”

Section: Cone-beam Step-and-shoot Reconstructionmentioning

confidence: 99%

Recent Advances in CT Image Reconstruction

et al. 2013

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Over the past two decades, rapid system and hardware development of x-ray computed tomography (CT) technologies has been accompanied by equally exciting advances in image reconstruction algorithms. The algorithmic development can generally be classified into three major areas: analytical reconstruction, model-based iterative reconstruction, and application-specific reconstruction. Given the limited scope of this chapter, it is nearly impossible to cover every important development in this field; it is equally difficult to provide sufficient breadth and depth on each selected topic. As a compromise, we have decided, for a selected few topics, to provide sufficient high-level technical descriptions and to discuss their advantages and applications.

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Section: Cone-beam Step-and-shoot Reconstructionmentioning

confidence: 99%

Recent Advances in CT Image Reconstruction

et al. 2013

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“…For example, orthogonal and oblique dual orbits were proposed in Refs. 6 and 15 and reconstruction algorithms based on the 3D Radon inversion formula 16,17 and filtered backprojection 18,19 were developed. The orthogonal circle-and-line, 20 saddle, [21][22][23] and helical orbits [24][25][26][27][28] were also investigated by several authors.…”

Section: -3mentioning

confidence: 99%

A new method to combine 3D reconstruction volumes for multiple parallel circular cone beam orbits

Baek

Pelc

2010

Medical Physics

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Purpose: This article presents a new reconstruction method for 3D imaging using a multiple 360°c ircular orbit cone beam CT system, specifically a way to combine 3D volumes reconstructed with each orbit. The main goal is to improve the noise performance in the combined image while avoiding cone beam artifacts. Methods:The cone beam projection data of each orbit are reconstructed using the FDK algorithm. When at least a portion of the total volume can be reconstructed by more than one source, the proposed combination method combines these overlap regions using weighted averaging in frequency space. The local exactness and the noise performance of the combination method were tested with computer simulations of a Defrise phantom, a FORBILD head phantom, and uniform noise in the raw data. Results: A noiseless simulation showed that the local exactness of the reconstructed volume from the source with the smallest tilt angle was preserved in the combined image. A noise simulation demonstrated that the combination method improved the noise performance compared to a single orbit reconstruction. Conclusions:In CT systems which have overlap volumes that can be reconstructed with data from more than one orbit and in which the spatial frequency content of each reconstruction can be calculated, the proposed method offers improved noise performance while keeping the local exactness of data from the source with the smallest tilt angle.

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“…Such capability provides acquisition modes that increase field of view (Herbst et al 2014) and/or improve image quality (e.g. reduction of cone-beam artifacts as in Noo et al (1998), Pack et al (2004), and Pearson et al (2010)). Additionally, recent work points to ‘task-driven’ image acquisition approaches (Stayman and Siewerdsen 2013) that customize the source-detector orbit based on the individual patient anatomy and imaging task.…”

Section: Introductionmentioning

confidence: 99%

Self-calibration of cone-beam CT geometry using 3D–2D image registration

et al. 2016

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Robotic C-arms are capable of complex orbits that can increase field of view, reduce artifacts, improve image quality, and/or reduce dose; however, it can be challenging to obtain accurate, reproducible geometric calibration required for image reconstruction for such complex orbits. This work presents a method for geometric calibration for an arbitrary source-detector orbit by registering 2D projection data to a previously acquired 3D image. It also yields a method by which calibration of simple circular orbits can be improved. The registration uses a normalized gradient information similarity metric and the covariance matrix adaptation-evolution strategy optimizer for robustness against local minima and changes in image content. The resulting transformation provides a ‘self-calibration’ of system geometry. The algorithm was tested in phantom studies using both a cone-beam CT (CBCT) test-bench and a robotic C-arm (Artis Zeego, Siemens Healthcare) for circular and non-circular orbits. Self-calibration performance was evaluated in terms of the full-width at half-maximum (FWHM) of the point spread function in CBCT reconstructions, the reprojection error (RPE) of steel ball bearings placed on each phantom, and the overall quality and presence of artifacts in CBCT images. In all cases, self-calibration improved the FWHM—e.g. on the CBCT bench, FWHM = 0.86 mm for conventional calibration compared to 0.65 mm for self-calibration (p < 0.001). Similar improvements were measured in RPE—e.g. on the robotic C-arm, RPE = 0.73 mm for conventional calibration compared to 0.55 mm for self-calibration (p < 0.001). Visible improvement was evident in CBCT reconstructions using self-calibration, particularly about high-contrast, high-frequency objects (e.g. temporal bone air cells and a surgical needle). The results indicate that self-calibration can improve even upon systems with presumably accurate geometric calibration and is applicable to situations where conventional calibration is not feasible, such as complex non-circular CBCT orbits and systems with irreproducible source-detector trajectory.

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The dual-ellipse cross vertex path for exact reconstruction of long objects in cone-beam tomography

Cited by 26 publications

References 16 publications

Recent Advances in CT Image Reconstruction

Recent Advances in CT Image Reconstruction

A new method to combine 3D reconstruction volumes for multiple parallel circular cone beam orbits

Self-calibration of cone-beam CT geometry using 3D–2D image registration

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