ArticleJournal of biomedical optics2017
Generation of anatomically realistic numerical phantoms for photoacoustic and ultrasonic breast imaging.
Article in Journal of biomedical optics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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.
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.
Who cites it
31 citing papers in PubMed, 113 citations in OpenAlex.
- Benchmarking deep learning-based reconstruction methods for photoacoustic computed tomography with clinically relevant synthetic datasets.Journal of biomedical optics · 2027Article
- A virtual imaging framework for three-dimensional quantitative optoacoustic tomography using stochastic numerical breast phantoms.Photoacoustics · 2026Article
- Histology-based Microstructural Tissue Phantoms for Realistic Ultrasound Simulation.Ultrasonic imaging · 2026Article
- Application of a virtual imaging framework for investigating a deep learning-based reconstruction method for 3D quantitative photoacoustic computed tomography.Photoacoustics · 2026Article
- Development of a Dual Photoacoustic-Ultrasound Imaging System: Current Status and Future Perspectives.Sensors (Basel, Switzerland) · 2026Review
- Advances in Photoacoustic Imaging of Breast Cancer.Sensors (Basel, Switzerland) · 2025Review
- Impact of skin tone on target size detectability in photoacoustic breast imaging.Biophotonics discovery · 2024Article
- Spatial and channel attention-based conditional Wasserstein GAN for direct and rapid image reconstruction in ultrasound computed tomography.Biomedical engineering letters · 2024Article
- Quantitative photoacoustic tomography: modeling and inverse problems.Journal of biomedical optics · 2024Review
- Mitigating Under-Sampling Artifacts in 3D Photoacoustic Imaging Using Res-UNet Based on Digital Breast Phantom.Sensors (Basel, Switzerland) · 2023Article
- Review of imaging test phantoms.Journal of biomedical optics · 2023Review
- A review of a strategic roadmapping exercise to advance clinical translation of photoacoustic imaging: From current barriers to future adoption.Photoacoustics · 2023Review
- Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer.Journal of biomedical optics · 2023Article
- Photoacoustic digital brain and deep-learning-assisted image reconstruction.Photoacoustics · 2023Article
- Synthetic dataset for visco-acoustic imaging.Data in brief · 2023Article
- Deep learning methods hold promise for light fluence compensation in three-dimensional optoacoustic imaging.Journal of biomedical optics · 2022Article
- Video-rate full-ring ultrasound and photoacoustic computed tomography with real-time sound speed optimization.Biomedical optics express · 2022Article
- SIMPA: an open-source toolkit for simulation and image processing for photonics and acoustics.Journal of biomedical optics · 2022Article
- Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breast.Journal of biomedical optics · 2022Article
- Clinical photoacoustic/ultrasound dual-modal imaging: Current status and future trends.Frontiers in physiology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Photoacoustic computed tomography (PACT) and ultrasound computed tomography (USCT) are emerging modalities for breast imaging. As in all emerging imaging technologies, computer-simulation studies play a critically important role in developing and optimizing the designs of hardware and image reconstruction methods for PACT and USCT. Using computer-simulations, the parameters of an imaging system can be systematically and comprehensively explored in a way that is generally not possible through experimentation. When conducting such studies, numerical phantoms are employed to represent the physical properties of the patient or object to-be-imaged that influence the measured image data. It is highly desirable to utilize numerical phantoms that are realistic, especially when task-based measures of image quality are to be utilized to guide system design. However, most reported computer-simulation studies of PACT and USCT breast imaging employ simple numerical phantoms that oversimplify the complex anatomical structures in the human female breast. We develop and implement a methodology for generating anatomically realistic numerical breast phantoms from clinical contrast-enhanced magnetic resonance imaging data. The phantoms will depict vascular structures and the volumetric distribution of different tissue types in the breast. By assigning optical and acoustic parameters to different tissue structures, both optical and acoustic breast phantoms will be established for use in PACT and USCT studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.