Evidence map›Paper›PMID 40994708›Full record

ArticleInverse problems2025

An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction.

Yizun Lin, Yongxin He, C Ross Schmidtlein, Deren Han

Abstract read
In one paragraph

Article in Inverse problems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yizun LinDepartment of Mathematics, Jinan University, Guangzhou 510632, China.
Yongxin HeDepartment of Mathematics, Jinan University, Guangzhou 510632, China.
C Ross SchmidtleinDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065 USA.
Deren HanSchool of Mathematical Sciences, Beihang University, Beijing 100191, China.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Advanced thin-slab TOF-PET detector module for next generation of brain PETR01EB034742 · NIBIB · CORNELL UNIVERSITY · PI THOMPSON, MICHAEL O · 2023 to 2025
$1.9M
Advanced planar image reconstruction for targeted alpha therapyR21CA263876 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SCHMIDTLEIN, CHARLES ROSS · 2022 to 2023
$474k
NCI NIH HHS P30 CA008748NCI NIH HHS R21 CA263876NIBIB NIH HHS R01 EB034742
6 · The paper itself

Abstract

This paper presents an accelerated preconditioned proximal gradient algorithm (APPGA) for effectively solving a class of positron emission tomography (PET) image reconstruction models with differentiable regularizers. We establish the convergence of APPGA with the generalized Nesterov (GN) momentum scheme, demonstrating its ability to converge to a minimizer of the objective function with rates of

Indexed as

accelerated preconditioned proximal gradient algorithmimage reconstructionpositron emission tomographytotal variation

Identifiers

PMID40994708
PMCPMC12456403

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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.