QLAB Advanced Quantification

by Philips Healthcare  · Based in Netherlands → — Better care for more people
Cardiology Obstetrics & Gynecology Radiology
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Regulatory Status Disclosed

Overview

Philips QLAB Advanced Quantification software is a comprehensive suite of advanced clinical tools designed to enhance the value of ultrasound imaging by providing quantifiable, reproducible, and consistent results. It is built upon proven algorithms and leverages Anatomical Intelligence Ultrasound (AIUS) with advanced organ modeling, image slicing, and quantification to make exams easier to perform and deliver new levels of clinical information. QLAB offers various Q-Apps that utilize anatomical intelligence, some featuring ZeroClick technology for automated analysis with minimal user interaction. The software supports both 2D and 3D quantification, including color Doppler quantification, and aids in the review and analysis of contrast studies. It can be deployed as a stand-alone product on a standard PC, a dedicated workstation, or directly on Philips ultrasound systems, and integrates with Philips’ Xcelera, Q-Station, and IntelliSpace PACS for streamlined departmental workflow.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Advanced organ modeling, image slicing, and proven quantification for 2D and 3D data sets
  • 2D and 3D quantification and color Doppler quantification
  • Anatomical Intelligence Ultrasound (AIUS) with ZeroClick technology for automated analysis
  • Elastography Quantification (EQ) for breast lesion stiffness analysis
  • Tools for monitoring tumor response to therapy
  • Accurate and fast ejection fraction calculations (e.g., aCMQ, 3DQA, Dynamic HeartModel)
  • Vascular Plaque Quantification (VPQ) and Intima Media Thickness (IMT) measurement
  • 3D interrogation and volume measurements for OB/GYN applications
  • Integration with Philips ultrasound systems (EPIQ, Affiniti, Lumify, CX50, Sparq, iE33, iU22, HD15, HD11XE)
  • Compatibility with Q-Station, Xcelera, and IntelliSpace PACS for off-cart analysis

Use Cases

  • Assessing and managing cardiovascular disease, ischemia, heart failure, and structural heart disease
  • Monitoring oncology patients, including those receiving cardio-toxic chemotherapy
  • Diagnosing and monitoring COVID-19 related lung and cardiac complications
  • Analyzing breast health and OB/GYN issues, including fetal heart navigation
  • Predicting the risk of cardiovascular disease and monitoring kidney transplants
  • Structural measurements and monitoring of Abdominal Aortic Aneurysms (AAA)

What Physicians Need to Know

DICOM Support & Standards
QLAB 13.0 supports import of DICOM data and limited data transfer capability, including query and retrieve of image instances from an external DICOM system. It also supports storage of image instances on a remote DICOM System and per DICOM Media on USB. Philips EPIQ and Affiniti Ultrasound systems implement DICOM services to download worklists, store images and Structured Reports to network storage, commit stored US images, store to CD/DVD/USB, print to DICOM printers, receive images, and inform the information system about completed work.
PACS Integration Method
QLAB can be integrated with various ultrasound systems and PACS, including Philips' Xcelera, Q-Station, and IntelliSpace PACS. The integration aims to improve workflow for echocardiography departments and make QLAB quantification features universally accessible within the PACS network. It can also populate PACS image databases with images captured in QLAB.
Reading Room Workflow Impact
QLAB is designed to provide fast, easy-to-use tools that deliver reproducible and consistent results, enhancing confidence in every study. It aims to streamline workflows and improve operational efficiencies by providing quantifiable data to drive decisions. The software allows for viewing and interrogating data both on-cart and off-cart to enhance departmental workflow. Automated tasks and workflows, including auto-population of DICOM and HL7 data, help radiologists work more efficiently and effectively, saving an estimated 1-2 minutes per patient in integrated workflows.
AI Model Architecture (deep learning approach)
QLAB Advanced Quantification Software integrates automatic segmentation technology (from HeartModel) and TomTec-Arena 4D RV-function using machine learning algorithms to delineate the right ventricle endocardial contours semi-automatically with user edit capability. The 3D Auto RV application is based on automatic segmentation technology applied to the Right Ventricle and uses machine learning algorithms to identify endocardial contours. Philips HeartModel, a fully automated 3D-TTE analysis software, uses an adaptive analytics algorithm with knowledge-based identification of initial global shape and orientation followed by patient-specific adaptation.
Processing Speed (per study)
The HeartModel algorithm has a deterministic convergence response, yielding zero variability when run on the same dataset. A new fully automated tool (HeartModel) is significantly faster than both 2DE and manual 3DE (QLAB) analysis, helping to overcome the time-consuming nature of 3DE analysis. Philips' Cardiovascular Suite in Advanced Visualization Workspace 16, which includes AI-driven workflows, can reduce reading times by up to 44% in key applications like longitudinal brain analysis. Some Philips systems provide high-speed processing allowing over 2800 frames-per-second displays for live volume imaging/Live 3D Echo.
FDA Clearance Pathway (510k/De Novo)
QLAB Advanced Quantification Software received 510(k) clearance from the U.S. Food and Drug Administration (FDA) on December 20, 2019, under AI-associated product code QIH. It also received 510(k) clearance for use with Philips ultrasound portfolio to manage COVID-19-related lung and cardiac complications.
Supported Modalities (CT/MRI/X-ray/US)
QLAB Advanced Quantification Software is designed to view and quantify image data acquired on Philips ultrasound systems. It supports a wide range of clinical applications for advanced ultrasound analysis, including cardiac, vascular, women's healthcare (breast and OB/GYN), general imaging (abdominal and small parts), and oncology imaging.
Sensitivity & Specificity Data
Verification and software validation activities, including Machine Learning Algorithm Training and a Validation Study, showed end diastolic volume errors below 15%. A published external study confirms high accuracy and reproducibility compared to cardiac MRI, with minor revisions needed in most cases. A new fully automated software (HeartModel) has been validated and found to be reasonably accurate compared to manual 3D measurements using QLAB (3DQ) in a group of over 150 patients. High similarity was found between Doppler indices assessed by 4D ultrafast echocardiography and clinical 2D measurements (p > 0.05 for each index).
RSNA/ACR Validation
Philips showcases its innovations in advanced visualization and AI at RSNA, designed to simplify radiology workflows and enhance diagnostic confidence. Philips' Ultrasound Workspace incorporates quality assessment capabilities based on American Society of Echocardiography (ASE) standards. While direct RSNA/ACR validation for QLAB Advanced Quantification is not explicitly stated, Philips actively participates in RSNA, highlighting AI-driven workflows and advanced visualization.
Physician Tip

Leverage QLAB's automated segmentation and machine learning for cardiac assessments, particularly for right ventricle analysis, to improve efficiency and reliability. Utilize the software's integration with PACS to access quantification features directly within your workflow, reducing the need for manual data transfer. Explore the various Q-Apps for specific clinical applications in cardiac, vascular, and women's healthcare to enhance diagnostic confidence and streamline reporting. The 'ZeroClick' technology and AI-driven automation can significantly reduce repetitive tasks, allowing more focus on complex cases. For 3D echocardiography, the automated quantification can help overcome time-consuming analysis, making it more feasible for routine clinical practice.

QLAB Advanced Quantification Software is designed for integration with Philips ultrasound systems (e.g., EPIQ, Affiniti, Lumify, CX50, Sparq) and can function as a stand-alone product on a standard PC or dedicated workstation. It integrates with Philips' Xcelera, Q-Station, and IntelliSpace PACS, allowing for seamless transfer and population of image databases. The software supports DICOM standards for image import, storage, query, and retrieve, facilitating interoperability with external DICOM systems. MediMatic has also integrated Philips QLAB analysis modules into their ComPACS CV-PACS product line to improve echocardiography workflow. The Ultrasound Workspace, which replaces QLAB cardiovascular ultrasound quantification software, offers vendor-neutral application and data source capabilities, and can be deployed stand-alone or integrated into PACS and EMR echocardiography reading workflows.

Details

Category Radiology & Imaging AI
Pricing Unknown
Free TrialUnknown
DeploymentCan be deployed as a stand-alone product on a standard PC, a dedicated workstation, or on-board Philips' ultrasound systems.
Data ExportUnknown
TrainingUnknown
Compliance
BAA AvailableUnknown
HIPAA CompliantUnknown
FDA Status Cleared AI-estimated
Integrations
EHR Not specified
Specialties Cardiology, Obstetrics & Gynecology, Radiology

Support & Reliability

Training ProvidedUnknown

What the Web Says

Philips QLAB Advanced Quantification is a software package designed to enhance the analysis of ultrasound images, particularly for cardiac assessments and oncology. It aims to provide more objective and quantifiable data, improving diagnostic accuracy and workflow efficiency for clinicians. The software integrates advanced automatic segmentation and machine learning algorithms, especially for cardiac imaging, and offers various customizable tools for different medical applications.

Overall: Positive

Strengths

  • Automated and semi-automated quantification tools reduce manual effort and improve efficiency.
  • Provides objective and quantifiable results, increasing confidence in diagnoses.
  • Integrates advanced technologies like AIUS (Anatomical Intelligence Ultrasound) and machine learning for improved accuracy and reproducibility.
  • Customizable tools cater to various medical applications, including cardiac, breast, and oncology imaging.
  • Can be used as a standalone product or integrated with Philips ultrasound systems and other healthcare IT solutions.
  • Aids in monitoring tumor response to therapy and assessing global and regional cardiac function.

Limitations

  • The software is not portable and runs only on Windows platforms.
  • Requires the purchase of licenses from the vendor, potentially leading to vendor lock-in.
  • Does not use a VA-preferred database to store data.
  • Certain protocols and technologies (like SSL and Q-Station) are unapproved or require a Plan of Action & Milestones (POA&M) for use on some networks (e.g., VA network).
  • Section 508 compliance has not been assessed.
  • Some users on Reddit, discussing QLab in a different context (live sound/theatre), have mentioned a desire for simpler crossfade functionality and occasional troubleshooting challenges, though these may not directly apply to the medical quantification software.

Based on reviews from: RadAISlice, Veterans Affairs, Catalogs Medicalexpo, Philips, Capterra, AuntMinnie, Transparency Registry, FDA 510(k), YouTube, ResearchGate, Instagram, Scribd, Radiology Business, Reddit, G2

Last updated: 2026-10-25

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Press & Coverage

Philips
Philips receives FDA clearance for the use of its ultrasound portfolio to manage COVID-19-related lung and cardiac complications
Philips announced it received 510(k) clearance from the FDA for its ultrasound solutions, including QLAB Advanced Quantification Software, to manage COVID-19-related lung and cardiac complications. This allows clinicians to use Philips' systems and software for diagnosing and monitoring COVID-19 patients.
2020-05
AI Prescribing Watch
QLAB Advanced Quantification Software (K191647) - AI Prescribing Watch
Philips Healthcare's QLAB Advanced Quantification Software (K191647) received FDA clearance on December 20, 2019. The software is classified under product code QIH, which refers to automated radiological image processing software utilizing artificial intelligence, including nonadaptive machine learning algorithms.
2019-12
accessdata.fda.gov
Philips Ultrasound, Inc. June 7th, 2018 Mr. Mark Job Responsible Third Party Official Regulatory Technology Services, LLC 13 - accessdata.fda.gov
This FDA document details the 510(k) clearance for Philips QLAB Advanced Quantification software (QLAB) on June 7, 2018. It outlines the software's design to view and quantify image data from Philips ultrasound systems, available as a standalone product or integrated into ultrasound systems.
2018-06
European Journal of Echocardiography
Feasibility and reproducibility of left ventricular rotation parameters measured by speckle tracking echocardiography
This peer-reviewed article investigates the feasibility and reproducibility of left ventricular rotation measurements using the QLAB Advanced Quantification Software (version 6.0, Philips). The study aimed to find the most robust method for left ventricular rotation measurement by speckle tracking echocardiography (STE) with the new QLAB Advanced Quantification Software.
unknown
Journal of Emergency and Critical Care Medicine
Left ventricular global longitudinal systolic function predicts mortality in sepsis independent to the shock index - Journal of Emergency and Critical Care Medicine
This peer-reviewed article from April 2018 discusses a study where speckle-tracking analysis was performed using Philips QLAB Advanced Quantification Software version 8.1. The study aimed to determine if left ventricular global longitudinal systolic function predicts mortality in sepsis.
2018-04
PMC - NIH
Sleep duration and subclinical left ventricular dysfunction in older adults - PMC - NIH
This peer-reviewed article, published in May 2025, details a study that utilized Philips QLAB Advanced Quantification Software version 8.1 for speckle-tracking analysis. The research investigated the association between sleep duration and subclinical left ventricular dysfunction in older adults.
2025-05
Medical Device Network
Philips debuts handheld diagnostic ultrasound solution in Japan - Medical Device Network
In June 2020, Philips launched its Lumify with Reacts handheld tele-ultrasound solution in Japan, following regulatory clearance. The company's various ultrasound solutions, including QLAB Advanced Quantification Software, are approved for managing COVID-19-related lung and cardiac complications in several markets.
2020-06
News-Medical
HD11 XE Ultrasound System from Philips - News-Medical
The Philips HD11 XE is a comprehensive digital imaging system that can be expanded with options like QLAB advanced quantification. This allows for enhanced cardiovascular imaging capabilities, including stress echo, contrast imaging, and transesophageal echo.
2026-10

Videos

Product demos, reviews, and walkthroughs for QLAB Advanced Quantification.

View all on YouTube

Frequently Asked Questions

QLAB Advanced Quantification is designed for seamless integration with most Picture Archiving and Communication Systems (PACS) and Electronic Medical Record (EMR) systems through standard protocols like DICOM and HL7. This allows for automated transfer of images for analysis and direct incorporation of quantitative results into patient records, streamlining your workflow.
QLAB Advanced Quantification is typically cleared by regulatory bodies such as the FDA in the United States and bears the CE mark in Europe, indicating compliance with essential health and safety requirements. It adheres to relevant data privacy regulations like HIPAA, ensuring patient data security and confidentiality.
While highly advanced, QLAB Advanced Quantification's accuracy can be influenced by image quality, artifacts, and atypical patient anatomies. It's crucial to remember that the software provides quantitative support and should always be used in conjunction with clinical judgment and other diagnostic information.
Yes, several other AI-powered quantification tools exist in the market, each with varying strengths and specialties. QLAB Advanced Quantification is often recognized for its comprehensive suite of applications across multiple modalities and its robust validation studies, but a direct comparison would depend on the specific clinical application and desired features.
The pricing for QLAB Advanced Quantification typically involves a combination of licensing fees for the software modules and potential per-study or subscription-based models. Specific pricing structures can vary based on the desired features, integration needs, and the scale of deployment within your institution.
Comprehensive training programs are usually offered, including on-site sessions, webinars, and online resources, to ensure proficiency for both physicians and technologists. Ongoing technical support and clinical application support are also typically available to address any questions or issues that may arise during use.
While QLAB Advanced Quantification is trained on extensive datasets, its performance on rare or unusual pathologies may be less validated compared to more common conditions. In such cases, the software's output should be interpreted with extra caution and always correlated with the full clinical picture and expert radiologist review.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-20 | First Added: 2026-04-20
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