Evidence map›Paper›PMID 28713589›Full record

ArticleBiomedical physics & engineering express2017

Super-resolution imaging in a multiple layer EPID.

Haijian Chen, Joerg Rottmann, Stephen Sf Yip, Daniel Morf, Rony Füglistaller, Josh Star-Lack, George Zentai, Ross Berbeco

Open access · greenAbstract read
In one paragraph

Article in Biomedical physics & engineering express, 2017. 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
1.4field-weighted citation impact, top 22% 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, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  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

8 authors at 4 institutions in 2 countries.

Haijian ChenDepartment of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, United States of America.
Joerg RottmannDepartment of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, United States of America.
Stephen Sf YipDepartment of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, United States of America.
Daniel MorfVarian Medical Systems International AG, Cham, Zug, CH, Switzerland.
Rony FüglistallerVarian Medical Systems International AG, Cham, Zug, CH, Switzerland.
Josh Star-LackVarian Medical Systems, Palo Alto, CA, United States of America.
George ZentaiVarian Medical Systems, Palo Alto, CA, United States of America.
Ross BerbecoDepartment of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, United States of America.
Dana-Farber Brigham Cancer Center · USVarian Medical Systems (Switzerland) · CHVarian Medical Systems (United States) · USBrigham and Women's Hospital · US

Funding

A novel flat-panel detector for advanced on-board radiation therapy imagingR01CA188446 · NCI · DANA-FARBER CANCER INST · PI BERBECO, ROSS I., FUEGLISTALLER, RONY · 2014 to 2024
$7.2M
NCI NIH HHS R01 CA188446
6 · The paper itself

Abstract

A new portal imager consisting of four vertically stacked conventional electronic portal imaging device (EPID) layers has been constructed in pursuit of improved detective quantum efficiency (DQE). We hypothesize that super-resolution (SR) imaging can also be achieved in such a system by shifting each layer laterally by half a pixel relative to the layer above. Super-resolution imaging will improve resolution and contrast-to-noise ratio (CNR) in megavoltage (MV) planar and cone beam computed tomography (MV-CBCT) applications. Simulations are carried out to test this hypothesis with digital phantoms. To assess planar resolution, 2 mm long iron rods with 0.3 × 0.3 mm

Indexed as

EPIDMV-CBCTportal imagingsuper-resolution imaging

Identifiers

PMID28713589
PMCPMC5507372
OpenAlexW2583524551

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.