Evidence map›Paper›PMID 40210860›Full record

ArticleLight, science & applications2025

End-to-end design of multicolor scintillators for enhanced energy resolution in X-ray imaging.

Seokhwan Min, Seou Choi, Simo Pajovic, Sachin Vaidya, Nicholas Rivera, Shanhui Fan, Marin Soljačić, Charles Roques-Carmes

Abstract read
In one paragraph

Article in Light, science & applications, 2025. 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

8 authors.

Seokhwan MinResearch Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, 02139, MA, USA.ORCID http://orcid.org/0000-0001-8441-0549
Seou ChoiResearch Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, 02139, MA, USA.ORCID http://orcid.org/0000-0003-3730-2152
Simo PajovicDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, 02139, MA, USA.ORCID http://orcid.org/0000-0002-7497-3118
Sachin VaidyaDepartment of Physics, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, 02139, MA, USA.ORCID http://orcid.org/0000-0002-3569-6568
Nicholas RiveraDepartment of Physics, Harvard University, Massachusetts Hall Cambridge, Cambridge, 02138, MA, USA.
Shanhui FanE. L. Ginzton Laboratories, Stanford University, 450 Jane Stanford Way, Stanford, 94305-2048, CA, USA.ORCID http://orcid.org/0000-0002-0081-9732
Marin SoljačićResearch Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, 02139, MA, USA.ORCID http://orcid.org/0000-0002-7184-5831
Charles Roques-CarmesResearch Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, 02139, MA, USA. chrc@stanford.edu.ORCID http://orcid.org/0000-0002-1168-5944

Funding

United States Department of Defense | Defense Advanced Research Projects Agency (DARPA) HO0011249049United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF-23-2-0121
6 · The paper itself

Abstract

Scintillators have been widely used in X-ray imaging due to their ability to convert high-energy radiation into visible light, making them essential for applications such as medical imaging and high-energy physics. Recent advances in the artificial structuring of scintillators offer new opportunities for improving the energy resolution of scintillator-based X-ray detectors. Here, we present a three-bin energy-resolved X-ray imaging framework based on a three-layer multicolor scintillator used in conjunction with a physics-aware image postprocessing algorithm. The multicolor scintillator is able to preserve X-ray energy information through the combination of emission wavelength multiplexing and energy-dependent isolation of X-ray absorption in specific layers. The dominant emission color and the radius of the spot measured by the detector are used to infer the incident X-ray energy based on prior knowledge of the energy-dependent absorption profiles of the scintillator stack. Through ab initio Monte Carlo simulations, we show that our approach can achieve an energy reconstruction accuracy of 49.7%, which is only 2% below the maximum accuracy achievable with realistic scintillators. We apply our framework to medical phantom imaging simulations where we demonstrate that it can effectively differentiate iodine and gadolinium-based contrast agents from bone, muscle, and soft tissue.

Identifiers

PMID40210860
PMCPMC11985908

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.