Evidence map›Paper›PMID 35380031›Full record

ArticleJournal of biomedical optics2022

SIMPA: an open-source toolkit for simulation and image processing for photonics and acoustics.

Janek Gröhl, Kris K Dreher, Melanie Schellenberg, Tom Rix, Niklas Holzwarth, Patricia Vieten, Leonardo Ayala, Sarah E Bohndiek, Alexander Seitel, Lena Maier-Hein

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 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

10 authors.

Janek GröhlGerman Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
Kris K DreherGerman Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
Melanie SchellenbergGerman Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
Tom RixGerman Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
Niklas HolzwarthGerman Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
Patricia VietenGerman Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
Leonardo AyalaGerman Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
Sarah E BohndiekUniversity of Cambridge, Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, United Kingdom.
Alexander SeitelGerman Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
Lena Maier-HeinGerman Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.

Funding

Cancer Research UK 21142
6 · The paper itself

Abstract

significanceOptical and acoustic imaging techniques enable noninvasive visualisation of structural and functional properties of tissue. The quantification of measurements, however, remains challenging due to the inverse problems that must be solved. Emerging data-driven approaches are promising, but they rely heavily on the presence of high-quality simulations across a range of wavelengths due to the lack of ground truth knowledge of tissue acoustical and optical properties in realistic settings.

aimTo facilitate this process, we present the open-source simulation and image processing for photonics and acoustics (SIMPA) Python toolkit. SIMPA is being developed according to modern software design standards. APPROACH: SIMPA enables the use of computational forward models, data processing algorithms, and digital device twins to simulate realistic images within a single pipeline. SIMPA's module implementations can be seamlessly exchanged as SIMPA abstracts from the concrete implementation of each forward model and builds the simulation pipeline in a modular fashion. Furthermore, SIMPA provides comprehensive libraries of biological structures, such as vessels, as well as optical and acoustic properties and other functionalities for the generation of realistic tissue models.

resultsTo showcase the capabilities of SIMPA, we show examples in the context of photoacoustic imaging: the diversity of creatable tissue models, the customisability of a simulation pipeline, and the degree of realism of the simulations.

conclusionsSIMPA is an open-source toolkit that can be used to simulate optical and acoustic imaging modalities. The code is available at: https://github.com/IMSY-DKFZ/simpa, and all of the examples and experiments in this paper can be reproduced using the code available at: https://github.com/IMSY-DKFZ/simpa_paper_experiments.

Indexed as

Optics and PhotonicsSoftwareAcousticsDimethylpolysiloxanesImage Processing, Computer-AssistedbaysilonDimethylpolysiloxanesacoustic imagingopen-sourceoptical imagingphotoacousticssimulation

Identifiers

PMID35380031
PMCPMC8978263

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LicenceCC BY
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Registered trials

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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.