OLEA SPHERE
Device Facts
| Record ID | K132095 |
|---|---|
| Device Name | OLEA SPHERE |
| Applicant | Olea Medical |
| Product Code | LLZ · Radiology |
| Decision Date | Dec 26, 2013 |
| Decision | SESE |
| Submission Type | Traditional |
| Regulation | 21 CFR 892.2050 |
| Device Class | Class 2 |
| Attributes | Software as a Medical Device |
Indications for Use
Olea Sphere is an image processing software package to be used by trained professionals including but not limited to physicians and medical technicians. The software runs on a standard "off-the-shelf" workstation and can be used to perform image viewing, processing and analysis of medical images. Data and images are acquired through DICOM compliant imaging devices and modalities. Olea Sphere provides both viewing and analysis capabilities of functional and dynamic imaging datasets acquired with MRI or other relevant modalities, including a Diffusion Weighted MRI (DWI) / Fiber Tracking Module and a Dynamic Analysis Module (dynamic contrast enhanced imaging data for MRI and CT). The DWI Module is used to visualize local water diffusion properties from the analysis of diffusion-weighted MRI data. The Fiber Tracking feature utilizes the directional dependency of the diffusion to display the white matter structure in the brain or more generally the central nervous system. The Dynamic Analysis Module is used for visualization and analysis of dynamic imaging data, showing properties of changes in contrast over time where such techniques are useful or necessary. This functionality is referred to as: Perfusion Module - the calculation of parameters related to tissue flow (perfusion) and tissue blood volume. Permeability Module - the calculation of parameters related to leakage of injected contrast material from intravascular to extracellular space.
Device Story
Olea Sphere v2.3 is a PACS software package for viewing, analyzing, and post-processing medical images (MRI/CT). It ingests DICOM-compliant datasets; performs functional/dynamic analysis; and outputs processed images, perfusion maps, and permeability parameters. Used in hospitals and imaging centers by radiologists and trained technicians. The software utilizes deconvolution algorithms (SVD variants and Bayesian methods) to calculate tissue flow, blood volume, and contrast leakage. It assists clinicians in visualizing white matter structures via fiber tracking and assessing hemodynamic properties. Benefits include enhanced diagnostic information through quantitative analysis of dynamic contrast-enhanced data.
Clinical Evidence
No clinical testing was conducted. Substantial equivalence is supported by non-clinical verification and validation testing, including stress testing of software components and compliance with applicable voluntary standards for PACS.
Technological Characteristics
Software-based PACS; runs on Windows, Macintosh, or Linux off-the-shelf workstations. Features include DICOM-compliant image processing, DWI/Fiber Tracking, and Dynamic Analysis (Perfusion/Permeability). Algorithms include SVD-based deconvolution (sSVD, cSVD, oSVD) and Bayesian probabilistic methods. Supports VOI segmentation (region growing/manual), histogram normalization, and image subtraction.
Indications for Use
Indicated for trained professionals, including physicians and medical technicians, to perform viewing, processing, and analysis of DICOM-compliant medical images (MRI/CT). Used for functional/dynamic imaging analysis, including DWI/fiber tracking for CNS white matter visualization and dynamic contrast-enhanced perfusion/permeability analysis.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
Predicate Devices
- Olea Sphere (K120196)