Evidence map›Paper›PMID 39729623›Full record

ArticleMedical physics2025

Multi-angle acquisition and 3D composite reconstruction for organ-targeted PET using planar detectors.

Anirudh Shahi, Harutyun Poladyan, Edward Anashkin, Borys Komarov, Brandon Baldassi, Madeline Rapley, Alexey Babich, Oleksandr Bubon, Alla Reznik

Abstract read
In one paragraph

Article in Medical physics, 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
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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.

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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

9 authors.

Anirudh ShahiDepartment of Physics, Lakehead University, Thunder Bay, Ontario, Canada.
Harutyun PoladyanDepartment of Physics, Lakehead University, Thunder Bay, Ontario, Canada.
Edward AnashkinRadialis Inc., Thunder Bay, Ontario, Canada.
Borys KomarovRadialis Inc., Thunder Bay, Ontario, Canada.
Brandon BaldassiRadialis Inc., Thunder Bay, Ontario, Canada.
Madeline RapleyDepartment of Physics, Lakehead University, Thunder Bay, Ontario, Canada.
Alexey BabichRadialis Inc., Thunder Bay, Ontario, Canada.
Oleksandr BubonDepartment of Physics, Lakehead University, Thunder Bay, Ontario, Canada.
Alla ReznikDepartment of Physics, Lakehead University, Thunder Bay, Ontario, Canada.

Funding

Canada Research Chairs 2018-00015CIHR 183626MITACS IT40250Natural Sciences and Engineering Research Council of Canada ALLRP/566561-2021Natural Sciences and Engineering Research Council of Canada RGPIN/4311-2020OICR (Ontario Institute for Cancer Research) - Terry Fox Research Institute Investigator AwardThe Ontario Research Fund - Research Excellence (ORF-RE) RE-10-043
6 · The paper itself

Abstract

backgroundThis study investigates a multi-angle acquisition method aimed at improving image quality in organ-targeted PET detectors with planar detector heads. Organ-targeted PET technologies have emerged to address limitations of conventional whole-body PET/CT systems, such as restricted axial field-of-view (AFOV), limited spatial resolution, and high radiation exposure associated with PET procedures. The AFOV in organ-targeted PET can be adjusted to the organ of interest, minimizing unwanted signals from other parts of the body, thus improving signal collection efficiency and reducing the dose of administered radiotracer. However, while planar detector PET technology allows for quasi-3D image reconstruction due to the separation between detector heads, it suffers from degraded axial spatial resolution and, consequently, reduced recovery coefficients (RCs) along the axial direction perpendicular to the detectors. PURPOSE: The purpose of this study was to evaluate the concept of multi-angle image acquisition with two planar PET detectors and composite full 3D image reconstruction. This leverages data collection from multiple polar angles to improve the axial spatial resolution in the direction perpendicular to the detector heads. In such, the concept allows to overcome the intrinsic limitations of planar detectors in axial resolution.

methodsThis study evaluates the improvement in the quality of images acquired with the Radialis organ-targeted PET camera through multi-angle image acquisition, in both experimental and simulated imaging scenarios. This includes the use of custom-made phantom with fillable spherical hot inserts, the NEMA NU4-2008 image quality (IQ) phantom, and simulations with a digital brain phantom. The analysis involves the comparison of line profiles drawn through the spherical hot inserts, image uniformity, RCs, and the reduction of smearing observed in the axial planes with and without the multi-angle acquisition strategy.

resultsSignificant improvements were observed in reducing smearing, enhancing image uniformity, and increasing RCs using the evaluated multi-angle acquisition method. In the composite images, the hot spheres appear more symmetrical in all planes. The image uniformity, calculated from the IQ phantom, improves from 7.79% and 10.98%, as measured in the images from the individual acquisitions, to 2.72% in the composite image. There is also an overall improvement in the RCs as measured from the hot rods of the IQ phantom. Furthermore, the simulation study using the digital human brain phantom demonstrates minimal smearing in the four-angle scan, as opposed to a two-angle scan.

conclusionThe multi-angle acquisition method offers a promising approach to transform planar PET detector technology into a true tomographic organ-targeted PET system and to enable improvement in image quality while preserving a versatility inherent to planar detector technology. Future research will focus on optimizing the multi-angle imaging protocol, including adjustments to detector separations, number of acquisition angles, and reconstruction iterations, alongside incorporating TOF, and reconstruction with point spread function modeling to further improve image quality.

Indexed as

Imaging, Three-DimensionalPositron-Emission TomographyHumansPhantoms, Imagingbrain PETbreast PETorgan‐targetedPETplanar detectors

Identifiers

PMID39729623
PMCPMC11972046

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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.