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Image Analysis

Perceptive’s medical image analysis team develops robust algorithms and pipelines to solve complex image science problems. Our team is responsible for extracting scientific quantitative data in support of Perceptive’s studies from discovery research through late-phase clinical trials.

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Overview

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 Perceptive’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.

 

Perceptive 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.

Task(s) Phase Species Modality Disease Area Half-Life
Quantitation Discovery Human PET/SPECT Neurology Image Processing
Classification Translational NHP MRI/MRS Oncology Modelling
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 CIQA/ARG/MARG Musculo-Skeletal Registration
Segmentation Mouse US Infectious Disease Filtering
SW Deployment Other Statistics
Atlases

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. Perceptive’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

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

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…

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 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

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

Modalities

Invicro’s image analysis, medical image analysis, medical image processing and quantitative image analysis workflows are modality agnostic. We specialize in analysis for radiology and pathology applications. Modalities supported by our image analysis workflows include:

Imaging

  • PET
  • MRI
  • Ultrasound
  • Autoradiography (QWBA, CIQA, MARG)
  • SPECT
  • CT
  • Cryofluorescence tomography

Learn about Perceptive’s extensive imaging experience and capabilities in:

Oncology

Bringing new cancer therapies to the market is a complex and challenging process that requires a partner that can support you every step of the way.

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Central Nervous System

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Bringing new cancer therapies to the market is a complex and challenging process that requires a partner that can support you every step of the way.

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Radioligand Therapy

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Radiopharmaceutical therapies represent an effective way to treat solid cancers by using tumor targeting small molecules, peptides or biologics to deliver a cytotoxic payload that induces DNA damage in tumor cells, while limiting damage to normal and healthy tissue.

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Thought Leadership Content

Case Studies

  • AAV-CFT
  • CFT and Bioluminescence
  • Multi-Modality – Oncology
  • Tracer Kinetic Analysis
  • Amyloid Load
  • Functional MRI
  • Volumetrics Analysis
  • Dosimetry Analysis
  • Clinical Tumor Sample
  • Machine Learning and Immunohistochemistry
  • View Additional Case Studies
Case Studies

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