ArticleMedical physics2017
X-ray scatter correction for dedicated cone beam breast CT using a forward-projection model.
Article in Medical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 19 citations in OpenAlex.
- 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
- Single-shot quantitative x-ray imaging using a primary modulator and dual-layer detector.Medical physics · 2024Article
- Cone-beam breast CT using an offset detector: effect of detector offset and image reconstruction algorithm.Physics in medicine and biology · 2022Article
- Adaptive proton therapy.Physics in medicine and biology · 2021Review
- 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
- 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
- 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
- Cone-Beam CT image contrast and attenuation-map linearity improvement (CALI) for brain stereotactic radiosurgery procedures.Journal of applied clinical medical physics · 2018Article
- 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
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeThe quality of dedicated cone-beam breast CT (CBBCT) imaging is fundamentally limited by x-ray scatter contamination due to the large irradiation volume. In this paper, we propose a scatter correction method for CBBCT using a novel forward-projection model with high correction efficacy and reliability.
methodWe first coarsely segment the uncorrected, first-pass, reconstructed CBBCT images into binary-object maps and assign the segmented fibroglandular and adipose tissue with the correct attenuation coefficients based on the mean x-ray energy. The modified CBBCT are treated as the prior images toward scatter correction. Primary signals are first estimated via forward projection on the modified CBBCT. To avoid errors caused by inaccurate segmentation, only sparse samples of estimated primary are selected for scatter estimation. A Fourier-Transform based algorithm, herein referred to as local filtration hereafter, is developed to efficiently estimate the global scatter distribution on the detector. The scatter-corrected images are obtained by removing the estimated scatter distribution from measured projection data.
resultsWe evaluate the method performance on six patients with different breast sizes and shapes representing the general population. The results show that the proposed method effectively reduces the image spatial non-uniformity from 8.27 to 1.91% for coronal views and from 6.50 to 3.00% for sagittal views. The contrast-to-deviation ratio is improved by an average factor of 1.41. Comparisons on the image details reveal that the proposed scatter correction successfully preserves fine structures of fibroglandular tissues that are lost in the segmentation process.
conclusionWe propose a highly practical and efficient scatter correction algorithm for CBBCT via a forward-projection model. The method is attractive in clinical CBBCT imaging as it is readily implementable on a clinical system without modifications in current imaging protocols or system hardware.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.