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Assessment of Tumor Response to Treatment Using Level Set Clustering in PET Images
Application
Tumor response algorithm that corrects for anatomical changes and robustly identifies local changes in serial PET images through a clustering algorithm.
Key Benefits
Robust to noise and outliers and can tolerate imperfections in data acquisition.
Could be applicable to many other imaging modalities in radiation therapy.
More accurately...
Published: 2/13/2025
Contributor(s): Timothy Fox, Eduard Schreibmann
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CXCR4-Targeting Molecules for Tumor Metastasis and PET Imaging
Application
Positron emission tomography (PET) imaging agents with high specificity for metastatic cancer.
Key Benefits
18F-labeled CXCR4 (partial) antagonist without stem cell mobilizing property is safe to be given to patient multiple times.
Identifies tumor location non-invasively and provides an indication of tumor’s metastatic potential.
Market...
Published: 2/13/2025
Contributor(s): Hyunsuk Shim, Mark Goodman, Dinesh Shetty, Yoon Hyeun Oum
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Multimodal Identification of Atrial Fibrillation Recurrence Sites
Application
Identifies areas of interest associated with atrial fibrillation recurrences.
Key Benefits
Identifies sites associated with recurrences for AF patients.
Predict AF recurrence risk in patients’ post-catheter ablation.
Development of prediction model by extracting features from the surface of interest (SOI).
Market Summary
Atrial...
Published: 2/13/2025
Contributor(s): Abhishek Midya, Anant Madabhushi, Golnoush Asaeikheybari, Mina K. Chung, Amogh Hiremath, Moore Benjamin Shoemaker, Majd A. El-Harasis, John Barnard, Rod S. Passman
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Implanted Passive Pressure Sensor Interrogated with (Ultra)-Sound (iPPSIS)
Application
Easy-to-use, short and long-term, minimally invasive, MR-safe approach for directly measuring the variation of intracranial pressure.
Key Benefits
A minimally invasive device that is compatible with MRI imaging for quantitatively measuring intracranial pressure.
A prototype has been developed showing the ability to measure shunt pressure...
Published: 2/13/2025
Contributor(s): David Myers, Nicholas Au Yong, Brooks Lindsey, Cecilia Alessandra Luna, Saeyoung (Sunny) Kim, Bowen Jing
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Machine Learning for Neurodegenerative Disease Diagnosis and Monitoring
Application
A machine learning classification model incorporating biomarkers for detecting Parkinson's disease.
Key Benefits
The image processing methods are simple to use, and the processing pipeline is fully automated.
The method is novel and customized to address the practical requirements of clinical and research imaging.
Market Summary
Parkinson’s...
Published: 2/13/2025
Contributor(s): Daniel Huddleston, Babak Mahmoudi
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Precursor PET Compound for Imaging Infections
Application
Diagnostic molecules for detecting bacterial infections using nuclear imaging.
Key Benefits
May improve the detection of infections within the body.
Potentially facilitates earlier treatment and superior clinical outcomes compared to other diagnostic radiotracers.
Market Summary
The rising incidences of bacterial infections resistant...
Published: 2/13/2025
Contributor(s): Mark Goodman, Wi. Robert Taylor, Wone Woo Seo, Malgorzata Lipowska
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Liquid-hydrogel Hybrid Microfluidic Device
Application
Measurement device for detecting of single-cell dynamics under environment perturbations or drug treatment.
Key Benefits
Fast determination of drug sensitivity.
Long-term continuous cell-fate tracking.
Time-lapse analysis of cell proliferation.
Cell community analysis: intra-species interactions, inter-species interactions.
Market...
Published: 2/13/2025
Contributor(s): Kyle Allison, Xin Fang, Devina Puri
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Automated Breast Arterial Calcifications Segmentation and Quantification on Mammograms Using Deep Learning
Application
Software for the quantification of breast arterial calcifications on routine mammograms to be used for risk stratification for cardiovascular outcomes.
Key Benefits
Optimized image segmentation accuracy with reduced software complexity.
Integrated calcium scoring.
Screens patients who would not normally be indicated for cardiac...
Published: 2/13/2025
Contributor(s): Hari Trivedi, Imon Banerjee, William Charles O'Neill, Xiaoyuan Guo
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Quantitative Multi Energy Computed Tomography (MECT) for the Characterization of Composition and Density Maps of Artificial and Human Materials in Proton Therapy
Application
A novel multi-energy computed tomography (MECT) simulation framework to determine the densities of human tissues and material compositions of implant material maps for proton Monte Carlo does performs the calculation.
Key Benefits
Provides a multi-image computer tomography based alternative methodology of providing complete maps...
Published: 2/13/2025
Contributor(s): Liyong Lin, Chih-Wei Chang, Tiezhi Zhang, Shuai Leng, Serdar Charyyev, Xiaofeng Yang, Joseph (Joe) Harms
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Imaging and Tracking mRNA in Live Mammalian Cells via Fluorogenic Photoaffinity Labeling
Application
An improved method for labeling and imagine RNA in live cells.
Key Benefits
Low background signal.
Covalent binding suitable for time-resolved investigations.
Photoactivatable for temporal control.
Market Summary
Ribonucleic acid (RNA) molecules are synthesized in cells through highly regulated biogenesis pathways, and when these...
Published: 2/13/2025
Contributor(s): Tewoderos Ayele, Jennifer Heemstra
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