Dr. Liesbeth Vancoillie Profile

Dr. Liesbeth Vancoillie

at Ctr. for Virtual Imaging Trials (CVIT)

SPIE Involvement:

Author

Publications (19)

Proceedings Article | 29 May 2024 Paper

Applicability of virtual breast phantoms for detectability studies in synthetic mammography

Katrien Houbrechts, Liesbeth Vancoillie, Lesley Cockmartin, Nicholas Marshall, Hilde Bosmans

Proceedings Volume 13174, 131741B (2024) https://doi.org/10.1117/12.3026975

KEYWORDS: Breast, Digital breast tomosynthesis, Breast density, Mammography

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SPIE Journal Paper | 26 April 2024

Protocol selection formalism for minimizing detectable differences in morphological radiomics features of lung lesions in repeated CT acquisitions

Mojtaba Zarei, Ehsan Abadi, Liesbeth Vancoillie, Ehsan Samei

JMI, Vol. 11, Issue 02, 025501, (April 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.2.025501

KEYWORDS: Magnetorheological finishing, Radiomics, Imaging systems, Scanners, Biological imaging, Modulation transfer functions, Mathematical optimization, Simulations, Lung, Image segmentation

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BackgroundThe accuracy of morphological radiomic features (MRFs) can be affected by various acquisition settings and imaging conditions. To ensure that clinically irrelevant changes do not reduce sensitivity to capture the radiomics changes between successive acquisitions, it is essential to determine the optimal imaging systems and protocols to use.PurposeThe main goal of our study was to optimize CT protocols and minimize the minimum detectable difference (MDD) in successive acquisitions of MRFs.MethodMDDs were derived based on the previous research involving 15 realizations of nodule models at two different sizes. Our study involved simulations of two consecutive acquisitions using 297 different imaging conditions, representing variations in scanners’ reconstruction kernels, dose levels, and slice thicknesses. Parametric polynomial models were developed to establish correlations between imaging system characteristics, lesion size, and MDDs. Additionally, polynomial models were used to model the correlation of the imaging system parameters. Optimization problems were formulated for each MRF to minimize the approximated function. Feature importance was determined for each MRF through permutation feature analysis. The proposed method was compared to the recommended guidelines by the quantitative imaging biomarkers alliance (QIBA).ResultsThe feature importance analysis showed that lesion size is the most influential parameter to estimate the MDDs in most of the MRFs. Our study revealed that thinner slices and higher doses had a measurable impact on reducing the MDDs. Higher spatial resolution and lower noise magnitude were identified as the most suitable or noninferior acquisition settings. Compared to QIBA, the proposed protocol selection guideline demonstrated a reduced coefficient of variation, with values decreasing from 1.49 to 1.11 for large lesions and from 1.68 to 1.12 for small lesions.ConclusionThe protocol optimization framework provides means to assess and optimize protocols to minimize the MDD to increase the sensitivity of the measurements in lung cancer screening.

Proceedings Article | 1 April 2024 Paper

Virtual NLST: towards replicating national lung screening trial

Fakrul Islam Tushar, Liesbeth Vancoillie, Cindy McCabe, Amareswararao Kavuri, Lavsen Dahal, Brian Harrawood, Milo Fryling, Mojtaba Zarei, Saman Sotoudeh-Paima, Fong Chi Ho, Dhrubajyoti Ghosh, Sheng Luo, W. Paul Segars, Ehsan Abadi, Kyle Lafata, Ehsan Samei, Joseph Lo

Proceedings Volume 12925, 129252F (2024) https://doi.org/10.1117/12.3006915

KEYWORDS: Lung, Data modeling, Computed tomography, Scanners, 3D modeling, Computer simulations, Modulation transfer functions, Chest imaging, Medicine, Medical research

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Proceedings Article | 7 April 2023 Presentation + Paper

A complete procedure to prepare virtual clinical trials in digital breast tomosynthesis

K. Houbrechts, R. Das, M. Keupers, L. Vancoillie, L. Cockmartin, N. Marshall, H. Bosmans

Proceedings Volume 12463, 124631C (2023) https://doi.org/10.1117/12.2653551

KEYWORDS: Digital breast tomosynthesis, Breast, Tumor growth modeling, Computer simulations, Cancer, Image segmentation

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Proceedings Article | 13 July 2022 Paper

Optimized signal of calcifications in wide-angle digital breast tomosynthesis systems: a virtual clinical study

Liesbeth Vancoillie, Lesley Cockmartin, Ferdinand Lueck, Nicholas Marshall, Ralf Nanke, Steffen Kappler, Hilde Bosmans

Proceedings Volume 12286, 1228604 (2022) https://doi.org/10.1117/12.2625772

KEYWORDS: Digital breast tomosynthesis, Breast, Reconstruction algorithms, Computer simulations, Clinical trials, X-rays, Visibility, Virtual reality

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PURPOSE: To investigate differences in microcalcification detection performance for different acquisition setups in digital breast tomosynthesis (DBT), a convex dose distribution and sparser number of projections compared to the standard set-up was evaluated via a virtual clinical trial (VCT). METHODS AND MATERIALS: Following the Institutional Review Board (IRB) approval and patient consent, mediolateral oblique (MLO) DBT views were acquired at twice the automatic exposure controlled (AEC) dose level; omitting the craniocaudal (CC) view limited the total examination dose. Microcalcification clusters were simulated into the DBT projections and noise was added to simulate lower dose levels. Three set-ups were evaluated: (1) 25 DBT projections acquired with a fixed dose/projection at the clinically used AEC dose level, (2) 25 DBT projections with dose/projection following a convex dose distribution along the scan arc, and (3) 13 DBT projections at higher dose with the total scan dose equal to the AEC dose level and preserving the angular range of 50° (sparse). For the convex set-up, dose/projection started at 0.035 mGy at the extremes and increased to 0.163 mGy for the central projection. A Siemens prototype algorithm was used for reconstruction. An alternative free-response receiver operating characteristic (AFROC) study was conducted with 6 readers to compare the microcalcification detection between the acquisition set-ups. Sixty cropped VOIs of 50x50x(breast thickness) mm3 per set-up were included, of which 50% contained a microcalcification cluster. In addition to localization of the cluster, the readers were asked to count the individual calcifications. The area under the AFROC curve was used to compare the different acquisition set-ups and a paired t-test was used to test significance. RESULTS: The AUCs for the standard, convex and sparse set-up were 0.97±0.01, 0.95±0.02 and 0.89±0.03, respectively, indicating no significant difference between standard and convex set-up (p=0.309), but a significant decrease in detectability was found for the sparse set-up (p=0.001). The number of detected calcifications per cluster was not significantly different between standard and convex set-ups (p=0.049), with 42%±9% and 40%±8%, respectively. The sparse set-up scored lower with a relative number of detected microcalcifications of 34%±11%, but this decrease was not significant (p=0.031). CONCLUSION: A convex dose distribution that increased dose along the scan arc towards the central projections did not increase detectability of microcalcifications in the DBT planes compared to the current AEC set-up. Conversely, a sparse set of projections acquired over the total scan arc decreased microcalcification detectability compared to the variable dose and current clinical set-up.

SPIE Journal Paper | 27 April 2021

On the relevance of modulation transfer function measurements in digital mammography quality control

Kristina Wigati, Nicholas Marshall, Kim Lemmens, Joke Binst, Annelies Jacobs, Lesley Cockmartin, Guozhi Zhang, Liesbeth Vancoillie, Dimitar Petrov, Dirk A. Vandenbroucke, Djarwani Soejoko, Hilde Bosmans

JMI, Vol. 8, Issue 02, 023505, (April 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.2.023505

KEYWORDS: Modulation transfer functions, Sensors, Switches, Image quality, Chromium, Gold, X-ray detectors, Systems modeling, Scintillators, Medical imaging

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Proceedings Article | 15 February 2021 Presentation + Paper

Virtual clinical trial platforms for digital breast tomosynthesis: a local solution compared to the VICTRE platform

K. Houbrechts, L. Vancoillie, L. Cockmartin, N. Marshall, H. Bosmans

Proceedings Volume 11595, 115951I (2021) https://doi.org/10.1117/12.2581742

KEYWORDS: Digital breast tomosynthesis, Clinical trials, Reconstruction algorithms, Visualization, Visual analytics, Breast

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Proceedings Article | 15 February 2021 Presentation + Paper

The creation of a breast cancer voxel model database for virtual clinical trials in digital breast tomosynthesis

L. Vancoillie, K. Houbrechts, J. Vignero, M. Keupers, L. Cockmartin, N. Marshall, Hilde Bosmans

Proceedings Volume 11595, 115950P (2021) https://doi.org/10.1117/12.2581741

KEYWORDS: Digital breast tomosynthesis, Tumor growth modeling, Clinical trials, Breast cancer, Databases, Data modeling, Cancer, Systems modeling, Visual process modeling, Image segmentation

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SPIE Journal Paper | 29 December 2020 Open Access

Erratum: verification of the accuracy of a hybrid breast imaging simulation framework for virtual clinical trial applications

Liesbeth Vancoillie, Nicholas Marshall, Lesley Cockmartin, Janne Vignero, Guozhi Zhang, Hilde Bosmans

JMI, Vol. 7, Issue 06, 069801, (December 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.6.069801

KEYWORDS: Virtual reality, Clinical trials, Breast imaging, Radiology, Pathology, Medical physics

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Proceedings Article | 22 May 2020 Paper

Application of a model observer for detection of lesions in synthetic mammograms

Liesbeth Vancoillie, Dimitar Petrov, Lesley Cockmartin, Nicholas Marshall, Hilde Bosmans

Proceedings Volume 11513, 1151303 (2020) https://doi.org/10.1117/12.2564337

KEYWORDS: Digital breast tomosynthesis, Mammography, Target detection, Systems modeling, 3D image processing, Breast, Performance modeling

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SPIE Journal Paper | 22 April 2020

Verification of the accuracy of a hybrid breast imaging simulation framework for virtual clinical trial applications

Liesbeth Vancoillie, Nicholas Marshall, Lesley Cockmartin, Janne Vignero, Guozhi Zhang, Hilde Bosmans

JMI, Vol. 7, Issue 04, 042804, (April 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.4.042804

KEYWORDS: Visualization, Digital breast tomosynthesis, Modulation transfer functions, Optical spheres, Aluminum, Breast imaging, Image processing, 3D modeling, Photovoltaics, Polymethylmethacrylate

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Proceedings Article | 16 March 2020 Presentation + Paper

Evaluation of possible phantoms for assessment of image quality in synthetic mammograms

L. Vancoillie, L. Cockmartin, N. Marshall, J. Lo, H. Bosmans

Proceedings Volume 11312, 113120J (2020) https://doi.org/10.1117/12.2548465

KEYWORDS: Digital breast tomosynthesis, Breast, Mammography, Image quality, 3D image processing

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Proceedings Article | 16 March 2020 Paper

Anthropomorphic ResNet18 for multi-vendor DBT image quality evaluation

Dimitar Petrov, Nicholas Marshall, Liesbeth Vancoillie, Lesley Cockmartin, Hilde Bosmans

Proceedings Volume 11316, 1131616 (2020) https://doi.org/10.1117/12.2549000

KEYWORDS: Digital breast tomosynthesis, Image quality, Image analysis, Convolutional neural networks, Neural networks, Quality systems, X-ray imaging, Breast

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Proceedings Article | 16 March 2020 Paper

Deep learning channelized Hotelling observer for multi-vendor DBT system image quality evaluation

Dimitar Petrov, Nicholas Marshall, Liesbeth Vancoillie, Lesley Cockmartin, Hilde Bosmans

Proceedings Volume 11316, 113160X (2020) https://doi.org/10.1117/12.2548998

KEYWORDS: Digital breast tomosynthesis, Image quality, Quality systems, Target detection, Feature extraction, Image processing

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Proceedings Article | 16 March 2020 Presentation + Paper

Equivalent breast thickness and dose sensitivity of a next iteration 3D structured breast phantom with lesion models

Elisabeth Salomon, Friedrich Semturs, Ewald Unger, Lesley Cockmartin, Dimitar Petrov, Liesbeth Vancoillie, Michael Figl, Hilde Bosmans, Johann Hummel

Proceedings Volume 11312, 113120K (2020) https://doi.org/10.1117/12.2548956

KEYWORDS: Breast, 3D modeling, Polymethylmethacrylate, Digital breast tomosynthesis, Signal attenuation, Tissues, Target detection, Liquids, Photography, Quality measurement

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Proceedings Article | 1 March 2019 Presentation + Paper

A case study on the impact of a reduction in MTF on test object detectability score in mammography

K. T. Wigati, H. Bosmans, L. Cockmartin, G. Zhang, L. Vancoillie, D. Petrov, D. A. Vandenbroucke, D. Soejoko, N. Marshall

Proceedings Volume 10948, 109480J (2019) https://doi.org/10.1117/12.2513285

KEYWORDS: Sensors, Chromium, Gold, Polymethylmethacrylate, Aluminum

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Proceedings Article | 1 March 2019 Presentation + Paper

Verification of the accuracy of a partial breast imaging simulation framework for virtual clinical trial applications

L. Vancoillie, N. Marshall, L. Cockmartin, J. Vignero, H. Bosmans

Proceedings Volume 10948, 109480A (2019) https://doi.org/10.1117/12.2513406

KEYWORDS: Digital breast tomosynthesis, Modulation transfer functions, Polymethylmethacrylate, Breast, Clinical trials, Visualization

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Aim: The impact of x-ray system parameters on detectability of specific (clinical) signals can be studied with simulation platforms if these tools are sufficiently accurate and realistic. This work describes the steps taken to verify and confirm the accuracy of a local platform developed for the use in virtual clinical trials of breast tomosynthesis. The (gold standard) reference data will be made available to the community. Materials and methods: Our simulation platform simulates specific targets, including microcalcifications into existing 2D FFDM and DBT background images, a method called partial simulation. There are three steps: (1) creation of a voxel model or 3D analytical object to be inserted into the ‘For Processing’ projections; (2) generation of a realistic object template for the geometry under study and the relevant resolution, scatter and noise properties; (3) insertion of the target into the projections and DBT reconstruction plus image processing. Three objects were simulated as part of the verification: a small high contrast 0.5 mm aluminum (Al) sphere in a poly(methyl methacrylate) (PMMA) stack, a 0.2 mm thick Al sheet in a PMMA stack and a 0.8 mm steel edge. For the small Al sphere, the peak contrast, the signal difference to noise ratio (SDNR), the profile in the (in plane) xy-direction and the artifact spread function (ASF) were compared to results from real acquisitions. Contrast and SDNR were compared to data from a real 0.2 mm Al sheet. Sharpness modelling was verified by comparing the modulation transfer function (MTF) calculated from real and simulated edges. The study was performed for a Siemens Inspiration DBT system. Results: Comparing peak contrast and SDNR for both sphere and sheet showed good agreement (<5% error) in 2D FFDM and DBT. The similarity of the pixel value profiles through the sphere and the sheet in the xy-direction and the ASF for real and simulated Al spheres confirmed accurate geometric modelling. Absolute and relative average deviation between MTF measured from real and simulated edge in the front-back and left-right directions show a good correlation for frequencies up to the Nyquist frequency for 2D FFDM and DBT mode. Real and simulated objects could not be differentiated visually. Conclusion: The close correspondence between simulated and real objects, both visually and quantitatively, indicates that this simulation framework is a strong candidate for use in virtual clinical studies employing 2D FFDM and DBT.

Proceedings Article | 6 July 2018 Paper

Performance evaluation of a 3D structured phantom with simulated lesions on breast imaging systems

Liesbeth Vancoillie, Lesley Cockmartin, Kristina Tri Wigati, Dimitar Petrov, Guozhi Zhang, Nicholas Marshall, Hilde Bosmans

Proceedings Volume 10718, 107180Y (2018) https://doi.org/10.1117/12.2318472

KEYWORDS: Digital breast tomosynthesis, 3D modeling, Target detection, 3D image processing, Imaging systems, Polymethylmethacrylate, Breast, Systems modeling, Breast imaging, Digital mammography

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Proceedings Article | 10 March 2017 Presentation + Paper

Real space channelization for generic DBT system image quality evaluation with channelized Hotelling observer

Dimitar Petrov, Lesley Cockmartin, Nicholas Marshall, Liesbeth Vancoillie, Kenneth Young, Hilde Bosmans

Proceedings Volume 10136, 101360N (2017) https://doi.org/10.1117/12.2254385

KEYWORDS: Digital breast tomosynthesis, Mammography, Image quality, Quality systems, Visualization, 3D modeling, Reconstruction algorithms, 3D acquisition, Medical imaging

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