overview

Invicro’s medical image analysis team develops robust algorithms and pipelines to solve complex image science problems. Our team of over fifty medical image processing scientists, including more than twenty PhDs, is responsible for extracting scientific quantitative data in support of Invicro’s studies from discovery research through late-phase clinical trials.

The medical image analysis team blends cutting edge image science with proven image engineering capabilities to continually create novel algorithms and quantitative image analysis pipelines while also developing those methods into robust, efficient automated tools. Machine learning and deep learning are two powerful tools routinely used to drive these solutions. These methods are coupled with Invicro’s deep scientific domain knowledge to produce unique, custom solutions to a variety of tasks, spanning therapeutic area and modality.

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Capabilities

We support a wide-range of quantitative image analysis tasks and the execution of these tasks is considered as a function of the trial phase, subjects and species of interest, imaging modalities, and therapeutic areas. We then utilize or develop the tools needed to support these tasks.

Task(s) Phase Species Modality Disease Area Tools
Quantitation Discovery Human PET / SPECT Neurology Image Processing
Classification Translational NHP MRI / MRS Oncology Modeling
Estimation Early (0, 1, 2) Sheep/Pig CT / uCT Cardio Machine Learning
Automation Late (2, 3, 4) Dog/Cat BLI / Epi-FL / CFT Pulmonary Simulation
Visualization Rabbit/Rat IHC / fIHC / PID Musculo-Skeletal Registration
Segmentation Mouse CIQA / ARG / MARG Infectious Disease Filtering
SW Deployment Other US Statistics
Video Atlases

Invicro has also applied machine learning and deep learning methods to projects across various therapeutic areas and imaging modalities, from basic discovery research through late-phase clinical applications. By continuously building upon our team’s broad range of skill sets and experience, new problems may be addressed using pre-existing trained networks through creation of de novo analysis pipelines or via a combination of existing architecture and study-specific feature extraction.

Focus Areas

Neuro PET Analysis & SPECT Analysis

The image analysis team provides industry-leading tools for Neuro PET analysis and SPECT analysis, supporting quantification projects from discovery research through late phase trials. Invicro’s teams have analyzed thousands of clinical scans for Alzheimer’s Disease studies, utilizing validated SUVR pipelines, Centiloids and the state-of-the-art AmyloidIQ and TauIQ algorithms for Amyloid imaging and Tau imaging, respectively. Some examples include:

 

  • The novel IQ Analytics suite for Tau Imaging, Amyloid imaging and DaT Imaging
  • A range of flexible Biomathematical Modeling tools
  • Validated pipelines across multiple quantitative outcomes
  • Preclinical and clinical support for Tracer Characterization
  • Sophisticated batch Image Triage and preprocessing methods

 

For more information, check out some of our most popular case studies. A full list is also available in our case studies section!

Amyloid Load

Dosimetry Analysis

Tracer Kinetic Analysis

Quantitative Oncology

The medical image analysis team supports standard analysis of FDG PET imaging, including PERCIST and other SUV-based metrics, metabolic tumor volume and total lesion glycolysis. The image analysis team also specializes in developing and applying a broad range of tools to support advanced quantitative oncology tracer characterization and analytics across a broad range of modalities and studies. Some examples include:

 

  • Powerful, multi-modal tumor and organ Segmentation tools
  • A range of flexible Biomathematical Modeling tools
  • Dosimetry calculations across radionuclide, administration route, and species
  • Integrated Radiomics pipelines using standard and custom feature vectors
  • Preclinical and clinical support for Tracer Characterization
  • Sophisticated batch Image Triage and preprocessing methods

 

For more information, check out some of our most popular case studies. A full list is also available in our case studies section!

Dosimetry Analysis

Radiomics

Biodistribution

Multi-Modality – Oncology

MRI Analysis

The medical image analysis team’s multidisciplinary MRI core builds MRI image processing workflows to support brain and whole-body applications across a huge array of studies. Examples include:

 

  • Preclinical and clinical support for Functional MRI (fMRI), Pharmacologic MRI (phMRI) and Resting State fMRI (rsfMRI) studies
  • Validated Pipelines across multiple sequences and analysis methods
  • Analysis of body MRI such as LipoQuant for NASH
  • Powerful, validated and exploratory tools for Volumetrics and Cortical Thickness
  • Flexible DCE-MRI Analysis pipelines across species
  • Neuro study expertise spanning Arterial Spin Labeling (ASL MRI), Diffusion Weighted Imaging (DWI)/Diffusion Tensor Imaging (DTI), MR Spectroscopy (MRS), QSM, and many more…

 

For more information, check out some of our most popular case studies. A full list is also available in our case studies section!

Volumetrics Analysis

Functional MRI

Lipid Quantification Tool Development Using Multi-Echo MRI

Computational Pathology

Invicro’s image analysis team continues to apply machine learning and artificial intelligence (AI) to drive the computational analysis of digital pathology. We have various pathology image analysis pipelines for novel and established ex vivo imaging modalities.

 

  • Standardized and custom analysis for QuantiCellTM: High Sensitivity Immunohistochemistry (IHC)
  • Reconstruction and analysis of novel Cryofluorescence Tomography (CFT) data
  • Customized, Automated Analysis Pipelines for whole slide imaging (WSI) applications such as cell segmentation
  • Quantitative 2D and 3D Autoradiography, including voxel-level statistical assessment
  • Novel analysis methods for High Resolution Micro-CT, including vascular and musculoskeletal applications

 

For more information, check out some of our most popular case studies. A full list is also available in our case studies section!

Cryofluorescence Tomography is Used to Simultaneously Measure Snapshot Renal Clearance of Two Tracers

Machine Learning and Immunohistochemistry

Combined in vivo and ex vivo Study of Canine Pancarpal Arthrodesis

Preclinical Imaging

The image analysis team has extensive experience supporting preclinical data and data analysis across a wide range of species and imaging modalities.

 

  • Species data analyzed include: mice, rats, canines, felines, non-human primates, rabbits, ferrets, pigs, and more – contact Invicro for a comprehensive list.
  • Modalities analyzed include: PET, SPECT, MRI, CT, US, CFT, CIQA, ARG, X-Ray, MSOT, IHC, microscopy and more – contact Invicro for a comprehensive list.
  • ~3 Million anatomical ROIs generated
  • Proven, Automated Workflows supporting in-house and externally acquired data
  • Support for any preclinical imaging Data Format

 

For more information, check out some of our most popular case studies. A full list is also available in our case studies section!

Biodistribution

Rhesus Teeth Segmentation by Use of Multi-Atlas Library

Combined in vivo and ex vivo Study of Canine Pancarpal Arthrodesis

Big Data & Artificial Intelligence (AI)

The medical image analysis team’s machine learning core manages data organization and structuring as well as machine learning and deep learning for medical image analysis development for a large variety of studies and applications.

 

  • Development and deployment of Machine Learning (ML) algorithms
  • Development and deployment of Deep Learning (DL) for medical image analysis algorithms
  • Management and structuring of large Multi-Modal Data Repositories
  • Integration of ML and DL tools with Invicro’s iPACS data management system
  • Customized pipelines for Image Triage across many applications
  • Combining AI and Domain Knowledge to build powerful, custom tools

 

For more information, check out some of our most popular case studies. A full list is also available in our case studies section!

Image Triage

Machine Learning and Immunohistochemistry

Radiomics

Modalities

Invicro’s image analysis, medical image analysis, medical image processing and quantitative image analysis workflows are modality agnostic. We specialize in PET analysis, SPECT analysis, MRI analysis and CT analysis. Modalities supported by our image analysis workflows include:

  • PET
  • SPECT
  • MRI
  • CT
  • Ultrasound
  • Video (e.g. video capsule endoscopy)
  • Photography (e.g. skin images)
  • Cryo-fluorescence tomography
  • Autoradiography (QWBA, CIQA, MARG)
  • Digital pathology
  • QuantiCellTM: High Sensitivity Immunohistochemistry