Evidence map›Paper›PMID 38947918›Full record

ArticleArXiv2024

A directional total variation minimization algorithm for isotropic resolution in digital breast tomosynthesis.

Emil Y Sidky, Xiangyi Wu, Xiaoyu Duan, Hailing Huang, Wei Zhao, Leo Y Zhang, John Paul Phillips, Zheng Zhang, Buxin Chen, Dan Xia and 2 more

Abstract readPreprint
In one paragraph

Article in ArXiv, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Emil Y SidkyDepartment of Radiology MC-2026, The University of Chicago, 5841. S. Maryland Ave., Chicago, IL, 60637.
Xiangyi WuDepartment of Radiology, Renaissance School of Medicine, Stony Brook University, 101 Nicolls Road, Health Sciences Center, Level 4, Stony Brook, NY, 11794.
Xiaoyu DuanDepartment of Radiology, Renaissance School of Medicine, Stony Brook University, 101 Nicolls Road, Health Sciences Center, Level 4, Stony Brook, NY, 11794.
Hailing HuangDepartment of Radiology, Renaissance School of Medicine, Stony Brook University, 101 Nicolls Road, Health Sciences Center, Level 4, Stony Brook, NY, 11794.
Wei ZhaoDepartment of Radiology, Renaissance School of Medicine, Stony Brook University, 101 Nicolls Road, Health Sciences Center, Level 4, Stony Brook, NY, 11794.
Leo Y ZhangDepartment of Mathematics, University of Washington, Box 354350, C-138 Padelford, Seattle, WA 98195-4350.
John Paul PhillipsDepartment of Radiology MC-2026, The University of Chicago, 5841. S. Maryland Ave., Chicago, IL, 60637.
Zheng ZhangDepartment of Radiology MC-2026, The University of Chicago, 5841. S. Maryland Ave., Chicago, IL, 60637.
Buxin ChenDepartment of Radiology MC-2026, The University of Chicago, 5841. S. Maryland Ave., Chicago, IL, 60637.
Dan XiaDepartment of Radiology MC-2026, The University of Chicago, 5841. S. Maryland Ave., Chicago, IL, 60637.
Ingrid S ReiserDepartment of Radiology MC-2026, The University of Chicago, 5841. S. Maryland Ave., Chicago, IL, 60637.
Xiaochuan PanDepartment of Radiology MC-2026, The University of Chicago, 5841. S. Maryland Ave., Chicago, IL, 60637.

Funding

Intraoperative quantitative CT imaging of breast specimen for reducing re-surgery rate and tumor cataloguingR01CA287302 · NCI · UNIVERSITY OF CHICAGO · PI XIAOCHUAN PAN, Emil Y Sidky · 2024 to 2026
$3.4M
Spectral CT metal artifact correctionR01EB023968 · NIBIB · MARQUETTE UNIVERSITY · PI SCHMIDT, TALY GILAT, SIDKY, EMIL Y · 2019 to 2022
$1.4M
Algorithm-Enabled Auto-Calibrating Quantitative Dual-Energy CTR21CA263660 · NCI · UNIVERSITY OF CHICAGO · PI PAN, XIAOCHUAN · 2022 to 2023
$414k
NCI NIH HHS R01 CA287302NCI NIH HHS R21 CA263660NIBIB NIH HHS R01 EB023968
6 · The paper itself

Abstract

An optimization-based image reconstruction algorithm is developed for contrast enhanced digital breast tomosynthesis (DBT) using dual-energy scanning. The algorithm minimizes directional total variation (TV) with a data discrepancy and non-negativity constraints. Iodinated contrast agent (ICA) imaging is performed by reconstructing images from dual-energy DBT data followed by weighted subtraction. Physical DBT data is acquired with a Siemens Mammomat scanner of a structured breast phantom with ICA inserts. Results are shown for both directional TV minimization and filtered back-projection for reference. It is seen that directional TV is able to substantially reduce depth blur for the ICA objects.

Indexed as

contrast-agent imagingdigital breast tomosynthesisdual-energyLimited angular-range reconstruction

Identifiers

PMID38947918
PMCPMC11213119

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Registered trials

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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.