Evidence map›Paper›PMID 26237154›Full record

ArticlePhysics in medicine and biology2015

A scatter correction method for contrast-enhanced dual-energy digital breast tomosynthesis.

Yihuan Lu, Boyu Peng, Beverly A Lau, Yue-Houng Hu, David A Scaduto, Wei Zhao, Gene Gindi

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  5. Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022
    Article
  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yihuan LuDepartment of Electrical & Computer Engineering, Stony Brook University, NY 11794 USA.
Boyu PengDepartment of Radiology, Stony Brook University, NY 11794 USA.
Beverly A LauDepartment of Radiology, Stony Brook University, NY 11794 USA.
Yue-Houng HuDepartment of Radiology, Stony Brook University, NY 11794 USA.
David A ScadutoDepartment of Biomedical Engineering, Stony Brook University, NY 11794 USA.
Wei ZhaoDepartment of Radiology, Stony Brook University, NY 11794 USA.
Gene GindiDepartment of Electrical & Computer Engineering, Stony Brook University, NY 11794 USA.
Stony Brook University · US

Funding

A university-industry partnership for improving the imaging performance of digitaR01CA148053 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI ZHAO, WEI · 2010 to 2013
$1.4M
NCI NIH HHS CA-158053NCI NIH HHS R01 CA148053
6 · The paper itself

Abstract

Contrast-enhanced dual energy digital breast tomosynthesis (CE-DE-DBT) is designed to image iodinated masses while suppressing breast anatomical background. Scatter is a problem, especially for high energy acquisition, in that it causes severe cupping artifact and iodine quantitation errors. We propose a patient specific scatter correction (SC) algorithm for CE-DE-DBT. The empirical algorithm works by interpolating scatter data outside the breast shadow into an estimate within the breast shadow. The interpolated estimate is further improved by operations that use an easily obtainable (from phantoms) table of scatter-to-primary-ratios (SPR)--a single SPR value for each breast thickness and acquisition angle. We validated our SC algorithm for two breast emulating phantoms by comparing SPR from our SC algorithm to that measured using a beam-passing pinhole array plate. The error in our SC computed SPR, averaged over acquisition angle and image location, was about 5%, with slightly worse errors for thicker phantoms. The SC projection data, reconstructed using OS-SART, showed a large degree of decupping. We also observed that SC removed the dependence of iodine quantitation on phantom thickness. We applied the SC algorithm to a CE-DE-mammographic patient image with a biopsy confirmed tumor at the breast periphery. In the image without SC, the contrast enhanced tumor was masked by the cupping artifact. With our SC, the tumor was easily visible. An interpolation-based SC was proposed by (Siewerdsen et al 2006 Med. Phys. 33 187-97) for cone-beam CT (CBCT), but our algorithm and application differ in several respects. Other relevant SC techniques include Monte-Carlo and convolution-based methods for CBCT, storage of a precomputed library of scatter maps for DBT, and patient acquisition with a beam-passing pinhole array for breast CT. Our SC algorithm can be accomplished in clinically acceptable times, requires no additional imaging hardware or extra patient dose and is easily transportable between sites.

Indexed as

AlgorithmsScattering, RadiationCone-Beam Computed TomographyFemaleHumansMammography

Identifiers

PMID26237154
PMCPMC4575809
OpenAlexW2118583314

What OpenQuestion holds

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Registered trials

None linked

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.