Evidence map›Paper›PMID 38394613›Full record

ArticleMedical physics2024

Line-based iterative geometric calibration method for a tomosynthesis system.

Chloe J Choi, Trevor L Vent, Raymond J Acciavatti, Andrew D A Maidment

Open access · hybridAbstract read
In one paragraph

Article in Medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

4 authors at 2 institutions in 1 country.

Chloe J ChoiDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Trevor L VentDepartment of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Raymond J AcciavattiDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Andrew D A MaidmentDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
University of Pennsylvania · USThomas Jefferson University · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
High Performance, Quantitative Breast PET Scanner Integrated With TomosynthesisR01CA196528 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ANDREW DOUGLAS ARNOLD MAIDMENT, Suleman Surti · 2016 to 2026
$5.9M
SUMMER UNDERGRADUATE PROGRAM TO EDUCATE RADIATION SCIENTISTS (SUPERS)R25CA140116 · NCI · UNIVERSITY OF PENNSYLVANIA · PI JAY FITZGERALD DORSEY · 2010 to 2026
$4.1M
Training Program in Biomedical Imaging and Information SciencesT32EB009384 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI GEE, JAMES C, IVES, ZACHARY · 2009 to 2023
$4.0M
Next-Generation Tomosynthesis Pilot StudyR37CA273959 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Raymond Joseph Acciavatti · 2022 to 2026
$1.8M
NCI NIH HHS P30 CA016520NCI NIH HHS P30CA016520NCI NIH HHS R01 CA196528NCI NIH HHS R01CA196528NCI NIH HHS R25 CA140116NCI NIH HHS R25CA140116NCI NIH HHS R37 CA273959NCI NIH HHS R37CA273959NIBIB NIH HHS T32 EB009384NIBIB NIH HHS T32EB009384Susan G. Komen IIR13264610Susan G. Komen PDF14302589
6 · The paper itself

Abstract

backgroundA next generation tomosynthesis (NGT) system, capable of two-dimensional source motion, detector motion in the perpendicular direction, and magnification tomosynthesis, was constructed to investigate different acquisition geometries. Existing position-based geometric calibration methods proved ineffective when applied to the NGT geometries. PURPOSE: A line-based iterative calibration method is developed to perform accurate geometric calibration for the NGT system.

methodsThe proposed method calculates the system geometry through virtual line segments created by pairs of fiducials within a calibration phantom, by minimizing the error between the line equations computed from the true and estimated fiducial projection pairs. It further attempts to correct the 3D fiducial locations based on the initial geometric calibration. The method's performance was assessed via simulation and experimental setups with four distinct NGT geometries: X, T, XZ, and TZ. The X geometry resembles a conventional DBT acquisition along the chest wall. The T geometry forms a "T"-shaped source path in mediolateral (ML) and posteroanterior (PA) directions. A descending detector motion is added to both X and T geometries to form the XZ and TZ geometries, respectively. Simulation studies were conducted to assess the robustness of the method to geometric perturbations and inaccuracies in fiducial locations. Experimental studies were performed to assess the impact of phantom magnification and the performance of the proposed method for various geometries, compared to the traditional position-based method. Star patterns were evaluated for both qualitative and quantitative analyses; the Fourier spectral distortions (FSDs) graphs and the contrast transfer function (CTF) were extracted. The limit of spatial resolution (LSR) was measured at 5% modulation of the CTF.

resultsThe proposed method presented is highly robust to geometric perturbation and fiducial inaccuracies. After the line-based iterative method, the mean distance between the true and estimated fiducial projections was [X, T, XZ, TZ]: [0.01, 0.01, 0.02, 0.01] mm. The impact of phantom magnification was observed; a contact-mode acquisition of a calibration phantom successfully provided an accurate geometry for 1.85× magnification images of a star pattern, with the X geometry. The FSD graphs for the contact-mode T geometry acquisition presented evidence of super-resolution, with the LSR of [0°-quadrant: 8.57, 90°-quadrant: 8.47] lp/mm. Finally, a contact-mode XZ geometry acquisition and a 1.50× magnification TZ geometry acquisition were reconstructed with three calibration methods-position-based, line-based, and iterative line-based. As more advanced methods are applied, the CTF becomes more isotropic, the FSD graphs demonstrate less spectral leakage as super-resolution is achieved, and the degree of blurring artifacts reduces significantly.

conclusionsThis study introduces a robust calibration method tailored to the unique requirements of advanced tomosynthesis systems. By employing virtual line segments and iterative techniques, we ensure accurate geometric calibration while mitigating the limitations posed by the complex acquisition geometries of the NGT system. Our method's ability to handle various NGT configurations and its tolerance to fiducial misalignment make it a superior choice compared to traditional calibration techniques.

Indexed as

Image Processing, Computer-AssistedThoracic WallAlgorithmsCalibrationComputer SimulationPhantoms, ImagingDBTgeometric calibrationtomosynthesis

Identifiers

PMID38394613
PMCPMC11000589
OpenAlexW4392093098

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.