Evidence map›Paper›PMID 23411913›Full record

ArticleBiomedical optics express2013

Parametric estimation of 3D tubular structures for diffuse optical tomography.

Fridrik Larusson, Pamela G Anderson, Elizabeth Rosenberg, Misha E Kilmer, Angelo Sassaroli, Sergio Fantini, Eric L Miller

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Fridrik LarussonDepartment of Electrical and Computer Engineering, Tufts University, Medford, MA 02155, USA ; Currently with Intellectual Ventures, Global Good, Bellevue, WA 98122, USA.
Pamela G Anderson
Elizabeth Rosenberg
Misha E Kilmer
Angelo Sassaroli
Sergio Fantini
Eric L Miller
Tufts University · US

Funding

Near-infrared spectral imaging of the breast for cancer detection and monitoringR01CA154774 · NCI · TUFTS UNIVERSITY MEDFORD · PI FANTINI, SERGIO · 2011 to 2015
$2.2M
NCI NIH HHS R01 CA154774
6 · The paper itself

Abstract

We explore the use of diffuse optical tomography (DOT) for the recovery of 3D tubular shapes representing vascular structures in breast tissue. Using a parametric level set method (PaLS) our method incorporates the connectedness of vascular structures in breast tissue to reconstruct shape and absorption values from severely limited data sets. The approach is based on a decomposition of the unknown structure into a series of two dimensional slices. Using a simplified physical model that ignores 3D effects of the complete structure, we develop a novel inter-slice regularization strategy to obtain global regularity. We report on simulated and experimental reconstructions using realistic optical contrasts where our method provides a more accurate estimate compared to an unregularized approach and a pixel based reconstruction.

Indexed as

(100.3190) Inverse problems(170.3010) Image reconstruction techniques(170.3660) Light propagation in tissues(170.3830) Mammography(170.3880) Medical and biological imaging(170.5280) Photon migration(170.6960) Tomography(290.1990) Diffusion(290.7050) Turbid media

Identifiers

PMID23411913
PMCPMC3567714
OpenAlexW1967055507

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.