SBIR-STTR Award

Methods for Fast and Efficient Oxygen Imaging
Award last edited on: 2/9/2024

Sponsored Program
SBIR
Awarding Agency
NIH : NCI
Total Award Amount
$400,000
Award Phase
1
Solicitation Topic Code
394
Principal Investigator
Mrignayani Kotecha

Company Information

O2M Technologies LLC

2242 West Harrison Street Suite 201-18
Chicago, IL 60612
   (773) 910-8533
   o2mapinfo@gmail.com
   www.o2map.com
Location: Single
Congr. District: 07
County: Cook

Phase I

Contract Number: 2023
Start Date: ----    Completed: 9/6/2023
Phase I year
2023
Phase I Amount
$400,000
Intermittent or acute/cyclic hypoxia in tumors, with frequencies between a few cycles per minute to hours, is receiving increased attention because this type of hypoxia has been reported to have an influence on tumor malignancy as well as treatment resistance via increased expression of pro-survival pathways. Fast oxygen imaging methods are needed for the measurement of acute tumor hypoxia. Pulse electron paramagnetic resonance imaging (pEPRI) is a promising tool to provide three-dimensional partial oxygen pressure (pO2) maps in live tissues and tumors to assist with advanced studies of tumor biology, perfusion, drug development, and radiation treatment. Single point imaging (SPI), an acquisition technique developed at National Cancer Institute (NCI), is a subset of pEPRI methods that can be used for oxygen image acquisition. It provides high-resolution, high-fidelity images but is slow due to the need for acquiring each k-space point individually. In the current project, our goal is to improve the image acquisition speed of SPI by utilizing a combination of advanced hardware and deep learning. This will improve the imaging speed by many folds without compromising the image quality. These advances will be tested in a mouse model of fibrosarcoma tumor. This project will bring an NIH-developed technology to the commercial level. Our long-term goal is to imply the advanced hardware and software technologies of oxygen imaging to clinics to assist with oxygen-guided tumor treatments.

Public Health Relevance Statement:
Narrative Cyclic hypoxia, with frequencies between a few cycles per minute to hours, is receiving increased attention because of its influence on tumor malignancy and treatment resistance. Fast tumor oxygen imaging methods are needed for the measurement of acute hypoxia. This project will apply advanced hardware and deep learning technologies to single point imaging, a pulse electron paramagnetic resonance oxygen imaging method, to acquire fast oxygen maps in tumors.

Project Terms:
absorption; Acceleration; Attention; Malignant Neoplasms; Cancers; Malignant Tumor; malignancy; neoplasm/cancer; Electron Spin Resonance Spectroscopy; EPR spectroscopy; ESR Spectroscopy; Electron Paramagnetic Resonance; Electron Spin Resonance; Paramagnetic Resonance; electron paramagnetic resonance spectroscopy; Environment; Fast Electron; fibrosarcoma; Future; Goals; Human; Modern Man; image reconstruction; image construction; image generation; Maps; Methods; Inbred C3H Mice; C3H Mouse; Myocardial Infarction; Cardiac infarction; Myocardial Infarct; cardiac infarct; coronary attack; coronary infarct; coronary infarction; heart attack; heart infarct; heart infarction; United States National Institutes of Health; NIH; National Institutes of Health; Organ Transplantation; Grafting Procedure; Organ Transplants; organ allograft; organ graft; organ xenograft; Oxygen; O element; O2 element; Perfusion; Periodicity; Cyclicity; Rhythmicity; pressure; Radiation therapy; Radiotherapeutics; Radiotherapy; radiation treatment; treatment with radiation; Computer software; Software; Stroke; Apoplexy; Brain Vascular Accident; Cerebral Stroke; Cerebrovascular Apoplexy; Cerebrovascular Stroke; brain attack; cerebral vascular accident; cerebrovascular accident; stroked; strokes; Technology; Testing; Time; Tissues; Body Tissues; Measures; injuries; Injury; improved; Acute; Clinical; Phase; Evaluation; Individual; Hypoxic; Oxygen Deficiency; Hypoxia; Licensing; Measurement; Letters; tool; instrument; Machine Learning; machine based learning; Physiologic pulse; Pulse; Scientist; Hour; Frequencies; Complex; Clinic; Techniques; System; 3-Dimensional; 3-D; 3D; three dimensional; Width; Radiation Dose Unit; Radiation Dose; Performance; success; Animal Model; Animal Models and Related Studies; model of animal; Speed; Reporting; Modeling; response; drug development; cancer therapy; Cancer Treatment; Malignant Neoplasm Therapy; Malignant Neoplasm Treatment; anti-cancer therapy; anticancer therapy; cancer-directed therapy; Leg; data processing; computerized data processing; image-based method; imaging method; imaging modality; Imaging Device; Imaging Instrument; Imaging Tool; National Cancer Institute; NCI Organization; Resolution; resolutions; in vivo; Tumor Biology; Process; Development; developmental; Image; imaging; Pathway interactions; pathway; pre-clinical; preclinical; therapy resistant; resistance to therapy; resistant to therapy; therapeutic resistance; treatment resistance; reconstruction; designing; design; oncologic imaging; oncology imaging; tumor imaging; cancer imaging; murine model; mouse model; tumor; imaging in vivo; in vivo imaging; imaging software; learning network; imager; Hypoxic tumor; tumor hypoxia; deep learning; technology platform; technology system

Phase II

Contract Number: 1R43CA275537-01A1
Start Date: 8/31/2024    Completed: 00/00/00
Phase II year
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Phase II Amount
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