Improving Image Quality of Digital Breast Tomosynthesis by Artifact Reduction

Author(s):  
Yao Lu ◽  
Heang-Ping Chan ◽  
Jun Wei ◽  
Lubomir Hadjiiski ◽  
Chuan Zhou
2017 ◽  
Vol 11 ◽  
pp. 117822341770338 ◽  
Author(s):  
Jieun Byun ◽  
Jee Eun Lee ◽  
Eun Suk Cha ◽  
Jin Chung ◽  
Jeoung Hyun Kim

Purpose: The purpose of this study is to compare the visibility of microcalcifications of digital breast tomosynthesis (DBT) and full-field digital mammography (FFDM) using breast specimens. Materials And Methods: Thirty-one specimens’ DBT and FFDM were retrospectively reviewed by four readers. Results: The image quality of microcalcifications of DBT was rated as superior or equivalent in 71.0% by reader 1, 67.8% by reader 2, 64.5% by reader 3, and 80.6% by reader 4. The Fleiss kappa statistic for agreement among readers was 0.31. Conclusions: We suggest that image quality of DBT appears to be comparable with or better than FFDM in terms of revealing microcalcifications.


2013 ◽  
Vol 3 ◽  
pp. 65 ◽  
Author(s):  
Stamatia V. Destounis ◽  
Andrea L. Arieno ◽  
Renee C. Morgan

Objectives: To compare the visualization and image quality of microcalcifications imaged with digital breast tomosynthesis (DBT) versus conventional digital mammography. Materials and Methods: Patients with microcalcifications detected on full field digital mammography (FFDM) recommended for needle core biopsy were enrolled in the study after obtaining patient's consent and institutional review board approval (n = 177 patients, 179 lesions). All had a bilateral combination DBT exam, after undergoing routine digital mammography, prior to biopsy. The study radiologist reviewed the FFDM and DBT images in a non-blinded comparison and assessed the visibility of the microcalcifications with both methods, including image quality and clarity with which the calcifications were seen. Data recorded included patient demographics, lesion size on FFDM, DBT, and surgical excision (when applicable), biopsy, and surgical pathology, if any. Results: Average lesion size on DBT was 1.5 cm; average lesion size on FFDM was 1.4 cm. The image quality of DBT was assessed as equivalent or superior in 92.2% of cases. In 7.8% of the cases, the FFDM image quality was assessed as equivalent or superior. Conclusion: In our review, DBT image quality appears to be comparable to or better than conventional FFDM in terms of demonstrating microcalcifications, as shown in 92.2% of cases.


2011 ◽  
Vol 38 (10) ◽  
pp. 5703-5712 ◽  
Author(s):  
Yao Lu ◽  
Heang-Ping Chan ◽  
Jun Wei ◽  
Mitch Goodsitt ◽  
Paul L. Carson ◽  
...  

2018 ◽  
Vol 24 (3) ◽  
pp. 303-308 ◽  
Author(s):  
Yukiko Enomoto ◽  
Keita Yamauchi ◽  
Takahiko Asano ◽  
Katharina Otani ◽  
Toru Iwama

Background and purpose C-arm cone-beam computed tomography (CBCT) has the drawback that image quality is degraded by artifacts caused by implanted metal objects. We evaluated whether metal artifact reduction (MAR) prototype software can improve the subjective image quality of CBCT images of patients with intracranial aneurysms treated with coils or clips. Materials and methods Forty-four patients with intracranial aneurysms implanted with coils (40 patients) or clips (four patients) underwent one CBCT scan from which uncorrected and MAR-corrected CBCT image datasets were reconstructed. Three blinded readers evaluated the image quality of the image sets using a four-point scale (1: Excellent, 2: Good, 3: Poor, 4: Bad). The median scores of the three readers of uncorrected and MAR-corrected images were compared with the paired Wilcoxon signed-rank and inter-reader agreement of change scores was assessed by weighted kappa statistics. The readers also recorded new clinical findings, such as intracranial hemorrhage, air, or surrounding anatomical structures on MAR-corrected images. Results The image quality of MAR-corrected CBCT images was significantly improved compared with the uncorrected CBCT image ( p < 0.001). Additional clinical findings were seen on CBCT images of 70.4% of patients after MAR correction. Conclusion MAR software improved image quality of CBCT images degraded by metal artifacts.


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