Proposal of an algorithm to evaluate geometric distortion and artifact spreading in digital breast tomosynthesis

2021 ◽  
pp. 028418512110418
Author(s):  
Greiciane J Cesário ◽  
Lucas Paixão ◽  
Reneilson Santos ◽  
Margarita Chevalier ◽  
Márcia RP Attie ◽  
...  

Background According to the European Reference Organization for Quality Assurance Breast Screening and European Diagnostic Services, the spatial accuracy of reconstructed images and reconstruction artifacts must be evaluated in digital breast tomosynthesis (DBT) quality control procedures. Purpose To propose a computational algorithm to evaluate the geometric distortion and artifact spreading (GDAS) in DBT images. Material and Methods The proposed algorithm analyzed tomosynthesis images of a phantom that contains aluminum spheres (1 mm in diameter) arranged in a rectangular matrix spaced 5 cm apart that was inserted in 5-mm-thick polymethylmethacrylate (PMMA). Results The obtained results were compared with the values provided by the algorithm developed by the National Coordinating Center for the Physics of Mammography (NCCPM). In the comparison, the results depended on the dimensions of the region of interest (ROI). This dependence proves the benefit of the proposed algorithm because it allows the user to select the ROI. Conclusion The computational algorithm proved to be useful for the evaluation of GDAS in DBT images, in the same way as the reference algorithm (NCCPM), as well as allowing the selection of the ROI dimensions that best suit the spreading of the artifact in the analyzed images.

Author(s):  
Ramona W. Bouwman ◽  
Oliver Diaz ◽  
Kenneth C. Young ◽  
Ruben E. van Engen ◽  
Wouter J. H. Veldkamp ◽  
...  

2013 ◽  
Vol 58 (13) ◽  
pp. 4423-4438 ◽  
Author(s):  
R W Bouwman ◽  
O Diaz ◽  
R E van Engen ◽  
K C Young ◽  
G J den Heeten ◽  
...  

Author(s):  
Z. Lari ◽  
K. Al-Durgham ◽  
A. Habib

Over the past few years, laser scanning systems have been acknowledged as the leading tools for the collection of high density 3D point cloud over physical surfaces for many different applications. However, no interpretation and scene classification is performed during the acquisition of these datasets. Consequently, the collected data must be processed to extract the required information. The segmentation procedure is usually considered as the fundamental step in information extraction from laser scanning data. So far, various approaches have been developed for the segmentation of 3D laser scanning data. However, none of them is exempted from possible anomalies due to disregarding the internal characteristics of laser scanning data, improper selection of the segmentation thresholds, or other problems during the segmentation procedure. Therefore, quality control procedures are required to evaluate the segmentation outcome and report the frequency of instances of expected problems. A few quality control techniques have been proposed for the evaluation of laser scanning segmentation. These approaches usually require reference data and user intervention for the assessment of segmentation results. In order to resolve these problems, a new quality control procedure is introduced in this paper. This procedure makes hypotheses regarding potential problems that might take place in the segmentation process, detects instances of such problems, quantifies the frequency of these problems, and suggests possible actions to remedy them. The feasibility of the proposed approach is verified through quantitative evaluation of planar and linear/cylindrical segmentation outcome from two recently-developed parameter-domain and spatial-domain segmentation techniques.


Radiographics ◽  
2019 ◽  
Vol 39 (2) ◽  
pp. 413-426 ◽  
Author(s):  
Nikki Tirada ◽  
Guang Li ◽  
David Dreizin ◽  
Luke Robinson ◽  
Gauri Khorjekar ◽  
...  

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