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Image reconstruction of fluorescence molecular tomography using structured light illumination
Fluorescence molecular tomography (FMT) is an emerging tool for basic biomedical research and drug development. It provides tomographic molecular information on tracer bio-distribution in the living organism. In this project, we are exploring an image reconstruction algorithm using structured light.
**Background:**
Fluorescence molecular tomography (FMT) is an emerging tool for basic biomedical research and drug development. It provides tomographic molecular information on tracer bio-distribution in the living organism.
In a classic implementation of FMT, a point-like laser source is applied for raster scanning over the surface of the object to obtain the fluorescence images. These fluorescence images corresponding to different positions of the laser source are further used for image reconstruction. Such a raster scanning procedure of FMT typically takes several minutes, which highly limits the temporal resolution of FMT.
Recently we have implemented a high-speed fluorescence microscopy using large-field multifocal illumination (LMI) [1]. The LMI microscopy features large FOV (20 × 20 mm2), enhanced depth of focus, and real- time imaging performance. In this project, we will explore the feasibility to use the rapid LMI scanning method to improve the speed of FMT.
For the reconstruction part, we have developed Smart Toolkit for fluorescence tomography (STIFT) [2], a comprehensive software platform for simulation, optimization and reconstruction based on finite element method. Light propagation modeling through heterogeneous tissues has been largely addressed. Various inversion techniques have been integrated in STIFT.
**Requirements:**
We are looking for master students with strong interests in novel medical imaging field and basic knowledge about image processing and numerical simulation.
**What we offer:**
We provide a good opportunity to experience developing a new imaging technology from computer simulation to real experiments. The students will have the chance to gain hands-on knowledge novel optical imaging technology.
**Reference:**
[1] Chen, Z., Mc Larney, B., Rebling, J., Deán‐Ben, X. L., Zhou, Q., Gottschalk, S., & Razansky, D. (2019). High‐Speed Large‐Field Multifocal Illumination Fluorescence Microscopy. Laser & Photonics Reviews, 1900070.
[2] Ren, W., Isler, H., Wolf, M., Ripoll, J., & Rudin, M. (2019). Smart Toolkit for Fluorescence Tomography: simulation, reconstruction, and validation. IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2019.2907460.
[3] Ducros, N., D'Andrea, C., Bassi, A., Valentini, G., & Arridge, S. (2012). A virtual source pattern method for fluorescence tomography with structured light. Physics in medicine and biology, 57(12), 3811-3832.
**Host:**
1. Multiscale functional and molecular imaging lab, Institute of Biomedical Engineering, ETH and University of Zurich
(http://www.razanskylab.org)
2. Seminar for Applied Mathematics, Department of Mathematics, ETH Zurich
(https://math.ethz.ch/sam)
**Supervised by:**
Dr. Wuwei Ren, ETH Zurich
**Co-supervised by:**
Dr. Zhenyue Chen, zhenyue.chen@uzh.ch
Prof. Habib Ammari, habib.ammari@sam.math.ethz.ch
Prof. Daniel Razansky, daniel.razansky@uzh.ch
**Background:**
Fluorescence molecular tomography (FMT) is an emerging tool for basic biomedical research and drug development. It provides tomographic molecular information on tracer bio-distribution in the living organism.
In a classic implementation of FMT, a point-like laser source is applied for raster scanning over the surface of the object to obtain the fluorescence images. These fluorescence images corresponding to different positions of the laser source are further used for image reconstruction. Such a raster scanning procedure of FMT typically takes several minutes, which highly limits the temporal resolution of FMT.
Recently we have implemented a high-speed fluorescence microscopy using large-field multifocal illumination (LMI) [1]. The LMI microscopy features large FOV (20 × 20 mm2), enhanced depth of focus, and real- time imaging performance. In this project, we will explore the feasibility to use the rapid LMI scanning method to improve the speed of FMT.
For the reconstruction part, we have developed Smart Toolkit for fluorescence tomography (STIFT) [2], a comprehensive software platform for simulation, optimization and reconstruction based on finite element method. Light propagation modeling through heterogeneous tissues has been largely addressed. Various inversion techniques have been integrated in STIFT.
**Requirements:**
We are looking for master students with strong interests in novel medical imaging field and basic knowledge about image processing and numerical simulation.
**What we offer:**
We provide a good opportunity to experience developing a new imaging technology from computer simulation to real experiments. The students will have the chance to gain hands-on knowledge novel optical imaging technology.
[2] Ren, W., Isler, H., Wolf, M., Ripoll, J., & Rudin, M. (2019). Smart Toolkit for Fluorescence Tomography: simulation, reconstruction, and validation. IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2019.2907460.
[3] Ducros, N., D'Andrea, C., Bassi, A., Valentini, G., & Arridge, S. (2012). A virtual source pattern method for fluorescence tomography with structured light. Physics in medicine and biology, 57(12), 3811-3832.
**Host:**
1. Multiscale functional and molecular imaging lab, Institute of Biomedical Engineering, ETH and University of Zurich (http://www.razanskylab.org)
2. Seminar for Applied Mathematics, Department of Mathematics, ETH Zurich (https://math.ethz.ch/sam)
**Supervised by:**
Dr. Wuwei Ren, ETH Zurich
**Co-supervised by:**
Dr. Zhenyue Chen, zhenyue.chen@uzh.ch Prof. Habib Ammari, habib.ammari@sam.math.ethz.ch Prof. Daniel Razansky, daniel.razansky@uzh.ch
- Establish FMT reconstruction using structured light illumination
- Feasibility study with simulation
- Feasibility study with experimental dataset
- Find out the illumination pattern to improve the spatio-temporal resolution of FMT
- Establish FMT reconstruction using structured light illumination - Feasibility study with simulation - Feasibility study with experimental dataset - Find out the illumination pattern to improve the spatio-temporal resolution of FMT
Each year the IDEA League offers the students of its partner universities over 180 monthly grants for a short-term research exchange. In general, these grants are awarded based on academic merit. For more information visit http://idealeague.org/student-grant/