2013
DOI: 10.1186/1475-925x-12-112
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Digital breast tomosynthesis image reconstruction using 2D and 3D total variation minimization

Abstract: BackgroundDigital breast tomosynthesis (DBT) is an emerging imaging modality which produces three-dimensional radiographic images of breast. DBT reconstructs tomographic images from a limited view angle, thus data acquired from DBT is not sufficient enough to reconstruct an exact image. It was proven that a sparse image from a highly undersampled data can be reconstructed via compressed sensing (CS) techniques. This can be done by minimizing the l1 norm of the gradient of the image which can also be defined as… Show more

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Cited by 42 publications
(24 citation statements)
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“…In addition, total variation (TV) [2325] which is an effective sparsifying transform for medical images, was also applied. TV minimizing significantly preserves edges and creates a smoother image.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, total variation (TV) [2325] which is an effective sparsifying transform for medical images, was also applied. TV minimizing significantly preserves edges and creates a smoother image.…”
Section: Methodsmentioning
confidence: 99%
“…In particular the structure similarity index (SSIM) [15,16] was used to measure the fidelity of the distortion. Since the distortion only affects the structure of the objects in the scene and not the brightness, the SSIM resulted as a good choice to explore the structural information in the images separating it from the influence of the luminosity of the light source (projector).…”
Section: Methodsmentioning
confidence: 99%
“…The 3D Total Variation regularization (3D-TV) [23] is also implemented for 3D image reconstruction as comparison, which is formulated as…”
Section: B 3d Total Variation Regularizationmentioning
confidence: 99%
“…The structure, manufacture and modelling of the sensor are demonstrated and its sensitivity is analyzed. A novel 3D-Laplacian and sparsity joint regularization algorithm is proposed for enhanced 3D imaging, while the results are compared with 3D Total Variation (3D-TV) regularization method [23]. To evaluate the performance of the planar miniature EIT sensor and the proposed 3D image reconstruction algorithm, both simulations of test phantoms and experiments of breast cancer cell are conducted.…”
mentioning
confidence: 99%