Bioluminescence tomography (BLT) is used to localize and quantify bioluminescent sources in a small living animal. By advancing bioluminescent imaging to a tomographic framework, it helps to diagnose diseases, monitor therapies and facilitate drug development. In this paper, we establish a direct linear relationship between measured surface photon density and an unknown bioluminescence source distribution by using a finite-element method based on the diffusion approximation to the photon propagation in biological tissue. We develop a novel reconstruction algorithm to recover the source distribution. This algorithm incorporates a priori knowledge to define the permissible source region in order to enhance numerical stability and efficiency. Simulations with a numerical mouse chest phantom demonstrate the feasibility of the proposed BLT algorithm and reveal its performance in terms of source location, density, and robustness against noise. Lastly, BLT experiments are performed to identify the location and power of two light sources in a physical mouse chest phantom.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1364/opex.13.006756 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Research progress in tracing technology for extracellular vesicles.
Extracell Vesicles Circ Nucl Acids
December 2023
School of Bioscience and Technology, Weifang Medical University, Weifang 261053, Shandong, China.
Cells have the capability to discharge extracellular vesicles (EVs) into a range of bodily fluids. Extracellular vesicles (EVs) encapsulate biological molecules such as proteins and nucleic acids, playing a role in facilitating cell-cell communication. They actively engage in a myriad of physiological and pathological processes.
View Article and Find Full Text PDFMolecular architecture of synaptic vesicles.
Proc Natl Acad Sci U S A
December 2024
In situ Structural Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin 13125, Germany.
Synaptic vesicles (SVs) store and transport neurotransmitters to the presynaptic active zone for release by exocytosis. After release, SV proteins and excess membrane are recycled via endocytosis, and new SVs can be formed in a clathrin-dependent manner. This process maintains complex molecular composition of SVs through multiple recycling rounds.
View Article and Find Full Text PDFA Comparison of the Sensitivity and Cellular Detection Capabilities of Magnetic Particle Imaging and Bioluminescence Imaging.
Tomography
November 2024
Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 3K7, Canada.
Background: Preclinical cell tracking is enhanced with a multimodal imaging approach. Bioluminescence imaging (BLI) is a highly sensitive optical modality that relies on engineering cells to constitutively express a luciferase gene. Magnetic particle imaging (MPI) is a newer imaging modality that directly detects superparamagnetic iron oxide (SPIO) particles used to label cells.
View Article and Find Full Text PDFSelf-supervised hybrid neural network to achieve quantitative bioluminescence tomography for cancer research.
Biomed Opt Express
November 2024
Biomedical Imaging and Radiation Technology Laboratory (BIRTLab), Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas, USA.
Bioluminescence tomography (BLT) improves upon commonly-used 2D bioluminescence imaging by reconstructing 3D distributions of bioluminescence activity within biological tissue, allowing tumor localization and volume estimation-critical for cancer therapy development. Conventional model-based BLT is computationally challenging due to the ill-posed nature of the problem and data noise. We introduce a self-supervised hybrid neural network (SHyNN) that integrates the strengths of both conventional model-based methods and machine learning (ML) techniques to address these challenges.
View Article and Find Full Text PDFIn Vivo Detection of Lymph Nodes Metastasis of ESCC Using CXCR4-Targeted Tracer [Cu]Cu-NOTA-CP01.
Mol Imaging Biol
December 2024
Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province, 519000, China.
Article Synopsis
- This study explores a new method for visualizing metastatic lymph nodes (MLN) in esophageal squamous cell carcinoma (ESCC) using a CXCR4-targeted tracer called [Cu]Cu-NOTA-CP01, aiming to provide a non-invasive alternative to traditional biopsies.
- Researchers established an intralymphatic tumor metastasis model and utilized bioluminescence imaging and PET/CT scans to assess the tracer's effectiveness and specificity for detecting MLN.
- Results showed that the tracer successfully highlighted metastatic lymph nodes, indicating high CXCR4 expression and suggesting that this method could be a promising tool for monitoring cancer progression in patients.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!