ArticleMedical physics2016
Library based x-ray scatter correction for dedicated cone beam breast CT.
Article in Medical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Development and performance evaluation of an upright dedicated cone-beam breast CT system.Medical physics · 2026Article
- Simultaneous reduction of radiation dose and scatter-to-primary ratio using a truncated detector and advanced algorithms for dedicated cone-beam breast CT.Biomedical physics & engineering express · 2025Article
- Artificial Intelligence in Breast X-Ray Imaging.Seminars in ultrasound, CT, and MR · 2023Review
- Cone-beam breast CT using an offset detector: effect of detector offset and image reconstruction algorithm.Physics in medicine and biology · 2022Article
- Flat-panel conebeam CT in the clinic: history and current state.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Radiation dosimetry of a clinical prototype dedicated cone-beam breast CT system with offset detector.Medical physics · 2021Article
- Tumor-to-Gland Volume Ratio versus Tumor-to-Breast Ratio as Measured on CBBCT: Possible Predictors of Breast-Conserving Surgery.Cancer management and research · 2021Article
- A residual dense network assisted sparse view reconstruction for breast computed tomography.Scientific reports · 2020Article
- Sparse-view, short-scan, dedicated cone-beam breast computed tomography: image quality assessment.Biomedical physics & engineering express · 2020Article
- Cone-beam breast computed tomography using ultra-fast image reconstruction with constrained, total-variation minimization for suppression of artifacts.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2020Article
- Dedicated cone-beam breast CT using laterally-shifted detector geometry: Quantitative analysis of feasibility for clinical translation.Journal of X-ray science and technology · 2020Article
- Paired cycle-GAN-based image correction for quantitative cone-beam computed tomography.Medical physics · 2019Article
- Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum-likelihood polynomial fitting approach.Medical physics · 2019Article
- Shading correction for volumetric CT using deep convolutional neural network and adaptive filter.Quantitative imaging in medicine and surgery · 2019Article
- Fast shading correction for cone-beam CT via partitioned tissue classification.Physics in medicine and biology · 2019Article
- Emerging Breast Imaging Technologies on the Horizon.Seminars in ultrasound, CT, and MR · 2018Article
- The role of off-focus radiation in scatter correction for dedicated cone beam breast CT.Medical physics · 2018Article
- X-ray scatter correction for dedicated cone beam breast CT using a forward-projection model.Medical physics · 2017Article
- Local filtration based scatter correction for cone-beam CT using primary modulation.Medical physics · 2016Article
- Library based x-ray scatter correction for dedicated cone beam breast CT.Medical physics · 2016Article
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Authors and funding
4 authors.
Funding
Abstract
purposeThe image quality of dedicated cone beam breast CT (CBBCT) is limited by substantial scatter contamination, resulting in cupping artifacts and contrast-loss in reconstructed images. Such effects obscure the visibility of soft-tissue lesions and calcifications, which hinders breast cancer detection and diagnosis. In this work, we propose a library-based software approach to suppress scatter on CBBCT images with high efficiency, accuracy, and reliability.
methodsThe authors precompute a scatter library on simplified breast models with different sizes using the geant4-based Monte Carlo (MC) toolkit. The breast is approximated as a semiellipsoid with homogeneous glandular/adipose tissue mixture. For scatter correction on real clinical data, the authors estimate the breast size from a first-pass breast CT reconstruction and then select the corresponding scatter distribution from the library. The selected scatter distribution from simplified breast models is spatially translated to match the projection data from the clinical scan and is subtracted from the measured projection for effective scatter correction. The method performance was evaluated using 15 sets of patient data, with a wide range of breast sizes representing about 95% of general population. Spatial nonuniformity (SNU) and contrast to signal deviation ratio (CDR) were used as metrics for evaluation.
resultsSince the time-consuming MC simulation for library generation is precomputed, the authors' method efficiently corrects for scatter with minimal processing time. Furthermore, the authors find that a scatter library on a simple breast model with only one input parameter, i.e., the breast diameter, sufficiently guarantees improvements in SNU and CDR. For the 15 clinical datasets, the authors' method reduces the average SNU from 7.14% to 2.47% in coronal views and from 10.14% to 3.02% in sagittal views. On average, the CDR is improved by a factor of 1.49 in coronal views and 2.12 in sagittal views.
conclusionsThe library-based scatter correction does not require increase in radiation dose or hardware modifications, and it improves over the existing methods on implementation simplicity and computational efficiency. As demonstrated through patient studies, the authors' approach is effective and stable, and is therefore clinically attractive for CBBCT imaging.
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