Quantitative Radiology Solutions is the latest company to hang its shingle at the
University City Science Center's Port Business Incubator.
By taking up residency at the Port, Quantitative gains access to an extensive network of resources to grow its business. Quantitative is also a participant in the
Phase I Ventures Program, which allows early-stage companies to test their business feasibility in a low-risk environment. Quantitative received $213,000 in direct financing from P1V and additional grants from the
National Institutes of Health and the
National Science Foundation.
The startup is developing a technology that promises to disrupt radiation therapy and treatment for cancer patients. We asked Joe Camaratta, Quantitative's president and CEO to tell us more.
What is your big idea?
Quantitative Radiology Solutions helps physicians make optimal treatment decisions through analysis of medical images. Our initial product, Automatic Anatomy Recognition (AAR), supports recognition, delineation and quantification of anatomical objects and diseased tissues in multiple body regions using CT, PET/CT and MR images.
Unlike existing automatic segmentation approaches that work on only three to five objects in a specific body region and require an unacceptable number of manual adjustments, AAR recognizes and delineates all anatomical structures in a given body region accurately and efficiently.
What is your origin tale?
The company was [founded by] Drs. Jayaram Udupa (computer science) and Drew Torigian (radiology) at the University of Pennsylvania.
Dr. Udupa was developing a novel image segmentation algorithm that used hierarchical modeling and machine learning techniques for object identification and delineation. Dr. Torigian, who focuses on quantification of disorders using computer-assisted techniques, applied the algorithm in body fat quantification and obstructive sleep apnea to demonstrate its usefulness in radiology.
Dr. Udupa presented the new approach during a seminar to physicians and physicists from the Department of Radiation Oncology, and was approached by Drs. Peter Bloch (medical physics) and Charles Simone (radiation oncology) about its application in radiotherapy planning. Drs. Udupa and Torigian contacted the
Penn Center for Innovation and created Quantitative Radiology Solutions as part of the
UPstart program to commercialize technology. I joined as president and CEO to lead these efforts.
What is ahead for Quantitative Radiology Solutions?
Our initial application area is radiation therapy planning. We believe there are applications of our technology in medical oncology to help assess tumor response to therapeutic interventions. There are also potential applications in surgical planning and 3-D printing using medical images.
Why does the marketplace need your company?
The global market for medical imaging is forecasted to reach $50 billion by 2020, and advanced modalities such as CT, MR and molecular imaging will account for 50 percent of that market. The rise in the number of imaging exams and number of images per exams necessitates new approaches to augment a physician’s ability to effectively evaluate exam results in a timely manner. A quantitative approach to medical imaging interpretation can improve early disease diagnosis, standardize assessment of disease response to treatment, and enable the discovery of new disease biomarkers.
What is your elevator speech?
We combine 75 years of expertise in clinical imaging, computational theory and algorithm development, and product development and commercialization [experience] from industry-leading organizations in medical imaging. When applied to the field of radiation therapy planning, our approach enables a robust standalone software solution that significantly improves the speed and accuracy of imaging contouring to support initial treatment planning and adaptive radiotherapy.
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