Products

Automatic Anatomy Recognition (AAR)
Quantitative Radiology Solutions
Oncology AI
Quantitative Radiology Solutions' Automatic Anatomy Recognition (AAR) is an FDA-cleared AI software that automates organ contouring for radiation therapy planning, significantly reducing time and improving accuracy.

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About Quantitative Radiology Solutions

Quantitative Radiology Solutions, which later operated as Quantaras, was a healthcare AI company focused on developing software for advanced body-wide analysis of medical images. Their primary product, Automatic Anatomy Recognition (AAR) software, was designed to recognize, delineate, and identify anatomical objects and diseased tissue on MRI, CT, and PET/CT images. This technology aimed to personalize cancer treatment decisions, particularly by significantly reducing the time required for radiation treatment planning and improving the accuracy and consistency of organ-at-risk contouring, thereby helping to reduce side effects for cancer patients undergoing radiation therapy. The company received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its AAR technology for use in radiation treatment planning in April 2021. However, according to PitchBook, the company is now out of business as of February 2, 2025.

Focus Areas

Body-wide analysis of medical images personalizing cancer treatment decisions radiation treatment planning Automatic Anatomy Recognition (AAR) body-wide disease quantification body composition assessment reducing side effects for cancer patients undergoing radiation therapy

Business Intelligence

Key InvestorsPhase 1 Ventures, Ben Franklin Technology Partners, National Cancer Institute (STTR grants), National Science Foundation (STTR grants)
PartnershipsUniversity of Pennsylvania, University of Maryland, Rutgers University, Washington University in St. Louis (clinical evaluation sites), New York Proton Center
TechnologySoftware-only medical device, cloud-based platform, Automatic Anatomy Recognition (AAR) technology, fuzzy anatomy models, hierarchical image analysis, works with MRI, CT, and PET/CT images
FDA Clearances1 cleared products (estimated)

What Physicians Need to Know

Automatic Anatomy Recognition (AAR)
QRS's core technology, AAR, is a software-only medical device that automatically processes CT studies to produce contours for organs-at-risk (OARs) for radiation treatment planning. It also operates on MRI and PET/CT images, aiming for modality independence.
Personalized Cancer Treatment Decisions
The company specializes in body-wide analysis of medical images to enable more personalized cancer treatment decisions, particularly in radiation oncology.
Radiation Treatment Planning Enhancement
A primary application is to improve the consistency, accuracy, and efficiency of radiation treatment planning by dramatically reducing the time required for organ delineation.
Body-Wide Disease Quantification & Composition Assessment
QRS commercializes innovations in body-wide disease quantification and body composition assessment from medical images.
Reduction of Radiation Therapy Side Effects
A key objective of their product is to reduce side effects for cancer patients undergoing radiation therapy through improved treatment planning.
Physician Tip

For physicians, Quantitative Radiology Solutions offers a significant leap in efficiency and precision for radiation treatment planning. The Automatic Anatomy Recognition (AAR) software can reduce the time spent on manual organ contouring from hours to minutes, freeing up valuable physician and dosimetrist time. This speed, combined with improved accuracy and consistency in OAR delineation, directly contributes to more precise and personalized radiation therapy, potentially leading to better patient outcomes and reduced side effects. The cloud-based, system-agnostic nature of AAR means it can be readily integrated into existing workflows, providing objective and quantitative data to inform critical treatment decisions and facilitate adaptive replanning.

Quantitative Radiology Solutions' AAR is a software-only medical device deployed on a cloud-based platform. It is designed to work independently of a specific treatment planning system and produces contours for direct input into these systems. The FDA 510(k) clearance specifies that AAR relies on third-party treatment planning systems to display and edit the generated contours.

Products by Quantitative Radiology Solutions

1 product in the directory

Automatic Anatomy Recognition (AAR)
Quantitative Radiology Solutions
Oncology AI
Quantitative Radiology Solutions' Automatic Anatomy Recognition (AAR) is an FDA-cleared AI software that automates organ contouring for radiation therapy planning, significantly reducing time and improving accuracy.

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Press & Coverage

Philadelphia Alliance for Capital & Technologies (PACT)
Quantitative Radiology Solutions Receives 510(k) Clearance for AAR
Quantitative Radiology Solutions (QRS) received 510(k) clearance from the FDA for its Automatic Anatomy Recognition (AAR) technology, a software-only medical device that automates contouring for organs-at-risk in radiation treatment planning. This clearance is a significant step in personalizing cancer treatment through automated medical image analysis.
2021-11
unknown
A Quantitative Imaging Infrastructure to Revolutionize AI-Enabled Precision Medicine
This article discusses the need for a quantitative imaging (QI) infrastructure to drive the development of precise, data-driven solutions in medical imaging, especially with the growth of AI. It highlights how QI can improve clinical care, create accurate datasets for AI/ML, and reduce healthcare costs.
2024-12
PMC
Variability and Standardization of Quantitative Imaging: Monoparametric to Multiparametric Quantification, Radiomics, and Artificial Intelligence
This review article summarizes how variability in quantitative values from radiological images is induced and how standardization can be achieved. It discusses specific biomarkers from MRI and CT, and reviews efforts in standardizing radiomics and AI techniques.
unknown
PMC
Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems
This paper presents a generic solution for structured reporting in radiology integrated with quantitative imaging biomarkers and qualitative scoring systems. It discusses how such reports can improve diagnostic accuracy and treatment evaluation by complementing conventional qualitative reporting.
2022-02
PMC - NIH
Clinical Utility of Quantitative Imaging
Quantitative imaging (QI) is increasingly used in radiology, serving as biomarkers for various diseases. The Radiological Society of North America (RSNA) is working to standardize QI through initiatives like the Quantitative Imaging Biomarkers Alliance (QIBA).
unknown
AJR Online
Quantitative Imaging in Oncology Patients: Part 1, Radiology Practice Patterns at Major U.S. Cancer Centers
This article discusses the integration of quantitative results in imaging for cancer therapy, where tumor measurements are used as biomarkers. It highlights that while most PACS workstations are technically capable, the process of performing measurements like RECIST is often time-consuming.
2015-08
Oxford Academic
Clinical quantitative MRI and the need for metrology
This article reviews common research and clinical applications of quantitative MRI (qMRI) from a measurement science perspective. It emphasizes that qMRI offers additional information for radiologists and opportunities for improved harmonization and calibration between scanners.
2021-04
Quantitative Imaging Solutions
Quantitative Imaging Solutions | Ai, Modeling, Radiomics
Quantitative Imaging Solutions (QIS) is a biosciences company that develops AI-based tools to help detect, predict, and treat chest disease. They apply machine learning and AI techniques to imaging and biomedical data to advance medicine and patient care.
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Frequently Asked Questions

Quantitative Radiology Solutions (QRS) is a company that provides advanced body-wide quantification of medical images for applications in radiology, radiation oncology, and surgery. Its primary technology, Automatic Anatomy Recognition (AAR), addresses the time-consuming and error-prone manual contouring of organs-at-risk (OARs) and tumors during radiation treatment planning, aiming to personalize cancer treatment decisions.
AAR is a software-only medical device that automatically processes CT, MRI, and PET/CT studies to delineate major organs and diseased tissue. This dramatically reduces the time required for radiation oncologists and dosimetrists to contour organs from several hours to less than 5 minutes, improving accuracy and consistency in treatment planning.
QRS's AAR software operates on MRI, CT, and PET/CT images, enabling comprehensive body-wide analysis and quantification of anatomical objects and diseased tissue. This modality-independent approach allows for diagnosis and treatment planning using images that optimize tumor visualization.
Yes, Quantitative Radiology Solutions received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its Automatic Anatomy Recognition (AAR) technology for use in radiation treatment planning. AAR is intended for use on adults undergoing treatment that requires identification of anatomical structures in the head & neck and thoracic body regions.
By significantly improving the accuracy, consistency, and efficiency of delineating organs-at-risk (OARs) and tumors, QRS's AAR technology helps optimize radiation dose delivery. This precise targeting aims to maximize radiation to the cancer while minimizing exposure to healthy organs, thereby reducing treatment-related side effects and potentially improving patient outcomes.
While specific details on support and training programs are not publicly disclosed, as a medical software company, QRS would typically provide comprehensive support, including implementation assistance, user training, and ongoing technical support. This ensures healthcare professionals can effectively integrate and utilize the AAR software in their clinical workflows.
QRS originated from the Medical Image Processing Group at the University of Pennsylvania and is a Penn Center for Innovation company. They have conducted multi-center clinical evaluations of their AAR software at academic medical centers, including the University of Pennsylvania, University of Maryland, Rutgers University, and the New York Proton Center, which are crucial for validating and advancing their technology.

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