Evidence map›Paper›PMID 38836185›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2024

PixelPrint: Generating Patient-Specific Phantoms for Spectral CT using Dual Filament 3D Printing.

Pouyan Pasyar, Jessica Im, Kai Mei, Leening Liu, Olivia Sandvold, Michael Geagan, Peter B Noël

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Pouyan PasyarDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.
Jessica ImDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.
Kai MeiDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.
Leening LiuDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.
Olivia SandvoldDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.
Michael GeaganDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.
Peter B NoëlDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.

Funding

PixelPrint: a 3D printing platform for creating lifelike patient-based CT phantomsR01EB035092 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Peter B Noel · 2024 to 2026
$1.8M
NIBIB NIH HHS R01 EB035092
6 · The paper itself

Abstract

In recent years, the importance of spectral CT scanners in clinical settings has significantly increased, necessitating the development of phantoms with spectral capabilities. This study introduces a dual-filament 3D printing technique for the fabrication of multi-material phantoms suitable for spectral CT, focusing particularly on creating realistic phantoms with orthopedic implants to mimic metal artifacts. Previously, we developed PixelPrint for creating patient-specific lung phantoms that accurately replicate lung properties through precise attenuation profiles and textures. This research extends PixelPrint's utility by incorporating a dual-filament printing approach, which merges materials such as calcium-doped Polylactic Acid (PLA) and metal-doped PLA, to emulate both soft tissue and bone, as well as orthopedic implants. The PixelPrint dual-filament technique utilizes an interleaved approach for material usage, whereby alternating lines of calcium-doped and metal-doped PLA are laid down. The development of specialized filament extruders and deposition mechanisms in this study allows for controlled layering of materials. The effectiveness of this technique was evaluated using various phantom types, including one with a dual filament orthopedic implant and another based on a human knee CT scan with a medical implant. Spectral CT scanner results demonstrated a high degree of similarity between the phantoms and the original patient scans in terms of texture, density, and the creation of realistic metal artifacts. The PixelPrint technology's ability to produce multi-material, lifelike phantoms present new opportunities for evaluating and developing metal artifact reduction (MAR) algorithms and strategies.

Indexed as

3D printingdual filamentimage qualitymetal artifact reductionmusculoskeletal imagingquality assurancespectral computed tomography

Identifiers

PMID38836185
PMCPMC11148765

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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.