Evidence map›Paper›PMID 38516350›Full record

ArticleIEEE transactions on computational imaging2023

SPECT reconstruction with a trained regularizer using CT-side information: Application to

Hongki Lim, Yuni K Dewaraja, Jeffrey A Fessler

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on computational imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

3 authors at 2 institutions in 2 countries.

Hongki LimDepartment of Electronic Engineering, Inha University, Incheon, 22212, South Korea.
Yuni K DewarajaDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109 USA.
Jeffrey A FesslerDepartment of Radiology, University of Michigan, Ann Arbor, MI 48109 USA.
University of Michigan · USInha University · KR

Funding

Bringing Capacity for Theranostic Dosimetry Planning to the Nuclear Medicine ClinicR01CA240706 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DEWARAJA, YUNI K · 2020 to 2024
$3.0M
NCI NIH HHS R01 CA240706
6 · The paper itself

Abstract

Improving low-count SPECT can shorten scans and support pre-therapy theranostic imaging for dosimetry-based treatment planning, especially with radionuclides like

Indexed as

Anatomical informationEmission tomographyLow-count quantitative SPECTSegmentation

Identifiers

PMID38516350
PMCPMC10956080
OpenAlexW4387010466

What OpenQuestion holds

Textmetadata
LicenceTDM
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.