Limited view CT reconstruction and segmentation via constrained metric labeling

Singh, Vikas; Mukherjee, Lopamudra; Dinu, P.M.; Xu, Jinhui; Hoffmann, Kenneth R.

doi:10.1016/j.cviu.2008.06.005

Cited by 11 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For different tomographic techniques, some experimental and practical constraints may impose a reduction of the number of projections. For example, in medical imaging the radiation dose for patients can be minimized by limiting the numbers of angles [9]. In electron tomography, the same strategy is necessary to prevent the damage of the sample [10].…”

Section: Jinst 13 C06006mentioning

confidence: 99%

A comparative study of reconstruction methods applied to Neutron Tomography

et al. 2018

View full text Add to dashboard Cite

A: Neutron Tomography (NT) is an established technique to non-destructively investigate the inner structure of a wide range of objects. The major drawback of NT is the long acquisition time required to perform a tomographic scan compared to an X-ray Computed Tomography (CT) scan, due to the limited particle flux of the existing neutron sources. Therefore, in the NT field there is great interest in the reduction of scan time, dictated by the high neutrons production cost, aimed at optimizing the beamtime use at neutron imaging beamlines. A way for decreasing the total scan time is to reduce the number of projections. Generally, iterative reconstruction methods have advantages over analytical algorithms, such as the widely used Filtered Back-Projection (FBP), when data are noisy and limited.This research is focused on the comparative analysis of different reconstruction techniques, aimed at finding the data processing procedure suitable for NT, that reduces the scan time without reduction of the reconstructed image quality. For this purpose, a phantom sample was analysed by means of a white beam NT performed at the IMAT beamline, ISIS Neutron Source, U.K. Experimental data were used to test the performances of the FBP algorithm and different iterative reconstruction methods as a function of the number of projections and for different setups of the imaging system. The reconstructed images were quantitatively compared in terms of image quality indexes and the benefits of iterative methods for the limited data problem are discussed. K: Computerized Tomography (CT) and Computed Radiography (CR); Data processing methods; Inspection with neutrons 1Corresponding author.

show abstract

Section: Jinst 13 C06006mentioning

confidence: 99%

A comparative study of reconstruction methods applied to Neutron Tomography

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The EM algorithm applies to positive integral equations, seeking to minimize the Kullback–Liebler distance between the measured data and the projection of the estimated image. Recently, Singh et al (2008) proposed an optimization framework based on a constrained metric labeling and provided a CT reconstruction and segmentation method from a limited number of projections. Lu et al (2012) utilized the simultaneous ART coupled with dictionary learning and proposed an algorithm for few‐view image reconstruction using dual dictionaries.…”

Section: Introductionmentioning

confidence: 99%

An adaptive dynamic combined energy minimization model for few‐view computed tomography reconstruction

Feng¹,

Zhang²

2013

Int J Imaging Syst Tech

View full text Add to dashboard Cite

Recently, the potential harm of electromagnetic radiation used in computed tomography (CT) scanning has been paid much attention to. This makes the few‐view CT reconstruction become an important issue in medical imaging. In this article, an adaptive dynamic combined energy minimization model is proposed for few‐view CT reconstruction based on the compress sensing theory. The L2 energy of the image gradient and the total variation (TV) energy are combined, and the working regions of them are separated adaptively with a dynamic threshold. With the proposed model, the TV model's disadvantageous tendency of uniformly penalize the image gradient irrespective of the underlying image structures is overcome. Numerical experiments of the proposed model are performed with various insufficient data problems in fan‐beam CT and suggest that both the reconstruction speed and quality of the results are generally improved. © 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 44–52, 2013.

show abstract

“…However, due to the narrow size of the detector area, the problem is an example of local tomography [9,16,24]. See [12,13,14,15,17,20,25,27,31] for related local tomographic reconstructions from sparse data. Also, since our added data is not a projection image but a panoramic image whose structure is dependent on the specific movement of the X-ray source, the problem has a flavor of results on X-ray source moving on curves, see [10].…”

mentioning

confidence: 99%

Three-dimensional dental X-ray imaging by combination of panoramic and projection data

Hyvönen¹,

Kalke²,

Lassas³

et al. 2010

Inverse Problems &Amp; Imaging

View full text Add to dashboard Cite

A novel three-dimensional dental X-ray imaging method is introduced, based on hybrid data collected with a dental panoramic device. Such a device uses geometric movement of the X-ray source and detector around the head of a patient to produce a panoramic image, where all teeth are in sharp focus and details at a distance from the dental arc are blurred. A digital panoramic device is reprogrammed to collect two-dimensional projection radiographs. Two complementary types of data are measured from a region of interest: projection data with a limited angle of view, and a panoramic image. Tikhonov regularization is applied to these data in order to produce three-dimensional reconstructions. The algorithm is tested with simulated data and real-world in vitro measurements from a dry mandible. Reconstructions from limited-angle projection data alone do provide the dentist with threedimensional information useful for dental implant planning. Furthermore, adding panoramic data to the process improves the reconstruction precision in the direction of the dental arc. The presented imaging modality can be seen as a cost-effective alternative to a full-angle CT scanner.

show abstract

Limited view CT reconstruction and segmentation via constrained metric labeling

Cited by 11 publications

References 30 publications

A comparative study of reconstruction methods applied to Neutron Tomography

A comparative study of reconstruction methods applied to Neutron Tomography

An adaptive dynamic combined energy minimization model for few‐view computed tomography reconstruction

Three-dimensional dental X-ray imaging by combination of panoramic and projection data

Contact Info

Product

Resources

About