Ms. Rianne F. G. Bulthuis Profile

Rianne F. G. Bulthuis

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Publications (5)

SPIE Journal Paper | 13 January 2024 Open Access

Automated three-dimensional image registration for longitudinal photoacoustic imaging

Bruno De Santi, Lucia Kim, Rianne F. G. Bulthuis, Felix Lucka, Srirang Manohar

JBO, Vol. 29, Issue S1, S11515, (January 2024) https://doi.org/10.1117/12.10.1117/1.JBO.29.S1.S11515

KEYWORDS: Image registration, Breast, Acquisition tracking and pointing, 3D image processing, Deformation, Biological imaging, Neural networks, Education and training, Tunable filters, Imaging systems

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SignificancePhotoacoustic tomography (PAT) has great potential in monitoring disease progression and treatment response in breast cancer. However, due to variations in breast repositioning, there is a chance of geometric misalignment between images. Further, poor repositioning can affect light fluence distribution and imaging field-of-view, making images different from one another. The net effect is that it becomes challenging to distinguish between image changes due to repositioning effects and those due to true biological variations.AimThe aim is to develop a three-dimensional image registration framework for geometrically aligning repeated PAT volumetric images, which are potentially affected by repositioning effects such as misalignment, changed radiant exposure conditions, and different fields-of-view.ApproachThe proposed framework involves the use of a coordinate-based neural network to represent the displacement field between pairs of PAT volumetric images. A loss function based on normalized cross correlation and Frangi vesselness feature extraction at multiple scales was implemented. We refer to our image registration framework as MUVINN-reg, which stands for multiscale vesselness-based image registration using neural networks. The approach was tested on a longitudinal dataset of healthy volunteer breast PAT images acquired with the hybrid photoacoustic-ultrasound Photoacoustic Mammoscope 3 imaging system. The registration performance was also tested under unfavorable repositioning conditions such as intentional mispositioning, and variation in breast-supporting cup size between measurements.ResultsA total of 13 pairs of repeated PAT scans were included in this study. MUVINN-reg showed excellent performance in co-registering each pair of images. The proposed framework was shown to be robust to image intensity shifts and field-of-view changes. Furthermore, MUVINN-reg could align vessels at imaging depths greater than 4 cm.ConclusionsThe proposed framework will enable the use of PAT for quantitative and reproducible monitoring of disease progression and treatment response.

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Proceedings Article | 27 March 2023 Poster

An automatic image registration algorithm to align serial photoacoustic images: a step toward repeatable longitudinal imaging

Bruno De Santi, Lucia Kim, Rianne Bulthuis, Felix Lucka, Ben Cox, Srirang Manohar

Proceedings Volume PC12379, PC1237938 (2023) https://doi.org/10.1117/12.2650407

KEYWORDS: Image registration, Photoacoustic spectroscopy, Breast, Tissue optics, Photoacoustic imaging, Oxygen, Multispectral imaging, Breast cancer, Tumors, Surgery

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Proceedings Article | 9 March 2023 Presentation

A novel test phantom for testing the stability of a hybrid multi-spectral photoacoustic-ultrasound breast imager

Rianne F. Bulthuis, Johan C. van Hespen, Leonardo Bianchi, Felix Lucka, Ashkan Javaherian, Ben Cox, Srirang Manohar

Proceedings Volume PC12379, PC123790M (2023) https://doi.org/10.1117/12.2650581

KEYWORDS: Imaging systems, Breast, Photoacoustic spectroscopy, Temperature metrology, Photoacoustic imaging, Laser energy, Image resolution

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Proceedings Article | 7 March 2022 Poster

Investigation into the repeatability of a photoacoustic breast imaging system

Rianne Bulthuis, Sjoukje Schoustra, Jeroen Veltman, Brenda Voorthuis, Wiendelt Steenbergen, Srirang Manohar

Proceedings Volume PC11960, PC119601F (2022) https://doi.org/10.1117/12.2609955

KEYWORDS: Imaging systems, Breast imaging, Reliability, Image registration, Image analysis, Breast

Proceedings Article | 7 March 2022 Poster

Insights from healthy human studies with a photoacoustic tomography system for breast imaging

Rianne Bulthuis, Maura Dantuma, Saskia Kruitwagen, Frédérique P. van Gameren, Felix Lucka, Bruno De Santi, Saskia Aarnink, Lioe-Fee de Geus-Oei, Ben Cox, Srirang Manohar, Ashkan Javaherian

Proceedings Volume PC11960, PC119600X (2022) https://doi.org/10.1117/12.2609529

KEYWORDS: Breast, Photoacoustic tomography, Imaging systems, Breast imaging, Skin, Visibility, Photoacoustic spectroscopy, Tomography, Image analysis, Image acquisition

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