Evidence map›Paper›PMID 40246994›Full record

ArticleScientific reports2025

Feasibility study of multi Laue lens based SPECT with a dedicated 3D reconstruction algorithm using Monte Carlo simulations.

Ala Barhoum, Murat Tahtali, Susanna Guatelli, Riccardo Camattari, Andrey Miroshnichenko

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In one paragraph

Article in Scientific reports, 2025. 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
–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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Ala BarhoumSchool of Engineering & IT, University of New South Wales, Canberra, 2600, Australia. ala.barhoum@anu.edu.au.
Murat Tahtali *School of Engineering & IT, University of New South Wales, Canberra, 2600, Australia.
Susanna Guatelli *Centre for Medical and Radiation Physics, University of Wollongong, Wollongong, 2500, Australia.
Riccardo Camattari *Department of Physics and Earth Sciences, University of Ferrara, 44121, Ferrara, Italy.
Andrey Miroshnichenko *School of Engineering & IT, University of New South Wales, Canberra, 2600, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of in-vivo imaging techniques has significantly advanced biomedical science and cancer diagnosis, yet their limited spatial resolution constrains their utility in small-animal studies and early-stage tumour detection. This study introduces a novel SPECT system employing X-rays and gamma-rays focusing optics-traditionally used in astronomy-to enhance spatial resolution in small object imaging at sub-millimetre scales without compromising sensitivity. Current SPECT imaging techniques rely on absorptive collimation, which creates a trade-off between sensitivity and resolution, often limiting spatial resolution and hindering the examination of various biomedical research areas, thereby restricting the accurate identification of small lesions. Our innovative design utilizes an array of Laue lenses, which can focus gamma rays without the drawbacks of traditional collimators, thereby achieving ultra-high spatial resolution. This approach is motivated by the need for improved imaging capabilities that allow for the detection of subtle physiological changes and tumour evolution in transgenic models, which are critical for advancing personalized medicine and significantly impacting early-stage tumour detection. A custom Monte Carlo simulation models the system's spatial resolution and sensitivity, supported by a tailored 3D reconstruction algorithm that complements the system's geometry. Findings reveal that our proposed system can achieve a spatial resolution of 0.1 mm full width at half maximum (FWHM) and a sensitivity of 1,670 cps/µCi. This setup allows the discrimination of adjacent volumes as small as 0.113 nL, far surpassing the capabilities of existing SPECT systems, including the SIEMENS parallel LEHR and multi-pinhole (5-MWB-1.0) Inveon SPECT, which are limited to a 2 mm resolution due to inherent resolution-sensitivity trade-offs. The proposed design could revolutionize SPECT imaging, significantly impacting transgenic animal research and early-stage tumour detection with its sub-millimetre resolution, ultimately enabling more precise and effective diagnostic capabilities in preclinical studies.

Indexed as

AlgorithmsImaging, Three-DimensionalTomography, Emission-Computed, Single-PhotonAnimalsFeasibility StudiesHumansImage Processing, Computer-AssistedMiceMonte Carlo MethodPhantoms, ImagingGamma diffractionGamma raysLaueSPECTSubmillimeterUltra-high resolution

Identifiers

PMID40246994
PMCPMC12006375

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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.