Brainlab Elements Image Fusion Angio (1.0)
Overview
Brainlab Elements Image Fusion Angio (1.0) is a specialized software application designed for the co-registration of cerebrovascular medical image data. Developed by Brainlab AG, the software processes and aligns complex vascular datasets to support clinicians during pre-planning phases.
The application is primarily utilized by neurosurgons, neuroradiologists, and radiation oncologists in hospital and specialized surgical or radiotherapy centers. It is indicated for the planning of cranial surgical treatments and the preplanning of cranial radiotherapy treatments.
In a clinical workflow, the tool integrates into the pre-planning stage by allowing clinicians to combine planar digital subtraction angiography (DSA) images with volumetric imaging datasets, such as CT or MRI. This co-registration helps align anatomical and vascular structures, streamlining the target definition process for cranial interventions.
Notable Capabilities:
- Vascular Co-Registration: Specifically designed to align 2D and 3D cerebrovascular datasets, including angiography, to assist in mapping complex vascular structures.
- Workflow Integration: Works alongside other modules in the Brainlab Elements suite, such as Contouring and Fibertracking, to build a comprehensive anatomical model.
- Flexible Deployment: Supports DICOM data transfer and can be accessed across multiple platforms, including dedicated planning workstations and mobile devices.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Co-registration of cerebrovascular image data
- Image fusion (aligning different imaging datasets)
- Angiographic image registration
- Supports planning of cranial surgical treatments
- Supports preplanning of cranial radiotherapy treatments
- Visualization of anatomical structures
- Integration with other Brainlab Elements modules (e.g., SmartBrush Angio, Mixed Reality Viewer)
- Utilizes 2D DSA and 3D rotational angiography-based Cone-Beam CT Angiogram (CBCTA)
- Frameless co-registration
- Not intended for diagnostic purposes
Use Cases
- Planning cranial surgical treatments
- Preplanning cranial radiotherapy treatments
- Stereotactic radiosurgery (SRS) for intracranial arteriovenous malformations (AVMs) and dural arteriovenous fistulas (DAVFs)
- Enhanced surgical planning review with patient-specific 3D data
- Combining insights from planar digital subtraction angiogram (DSA) with volumetric imaging data
What Physicians Need to Know
Brainlab Elements Image Fusion Angio (1.0) is particularly useful for neurosurgeons and radiation oncologists in planning complex cerebrovascular interventions. The ability to fuse 2D DSA with 3D volumetric data (MRA, CTA, 3D DSA) provides a comprehensive view of vascular anatomy and flow dynamics, which is crucial for precise target definition and critical structure avoidance. The AI-powered tumor segmentation can assist in efficient contouring, but always verify the AI-generated contours with careful manual review. Leveraging the 3D anatomical maps derived from MRI and CT scans can enhance surgical navigation and improve confidence in the operating room. The software's multi-platform flexibility allows for planning and review on various devices, including mobile, which can be beneficial for busy clinicians.
Brainlab Elements Image Fusion Angio (1.0) is a module within the broader Brainlab Elements suite, which is designed for seamless integration across various clinical subspecialties like neurosurgery and radiation oncology. It integrates with platforms such as Curve™ Image Guided Surgery and Buzz® Digital O.R. to enhance workflow efficiency. The software is compatible with DICOM data, allowing transfer to and from PACS and other storage media devices. It supports collaboration across departments and locations, with compatibility for mobile devices and workstations.
Details
| Category | Neurology AI, Oncology AI, Surgical AI |
| Pricing | Unknown |
| Deployment | On-premise (Windows platforms with specific hardware requirements), with capabilities for multi-device access including iPad and iPhone, and cloud-based data sharing. |
| Mobile App | 1 |
| Compliance | |
| BAA Available | Unknown |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Neurosurgery, Oncology, Radiology |
What the Web Says
Brainlab Elements Image Fusion Angio (1.0) is a software application designed for co-registration of cerebrovascular image data, allowing the fusion of 2D Digital Subtraction Angiography (DSA) sequences with MRA, CTA, and 3D DSA sequences. [8] This technology aims to enhance treatment planning, particularly for conditions like arteriovenous malformations (AVMs) and dural arteriovenous fistulas (DAVFs), by combining flow and location information. [1, 8] It is part of the broader Brainlab Elements suite, which provides various modules for processing medical image data to support image-guided surgery and radiation treatment planning. [5, 8]
Overall: PositiveStrengths
- Enhances treatment workflow and circumstances for both frame-based and frameless stereotactic radiosurgery (SRS). [1]
- Allows for the convenient and clinically useful co-registration of biplane 2D-DSA whole frames and CBCTA. [1]
- Dramatically reduces treatment time and burdens on both patients and medical professionals by omitting the need for invasive angiography on the day of SRS. [1]
- Provides adequate image datasets for SRS planning, including unenhanced CT for dose calculation, MRI for accurate target localization, and 2D/3D fused angiogram for target delineation. [1]
- Facilitates the fusion of multiple imaging modalities, making radiosurgical and surgical planning for AVMs more accurate. [4]
- Eliminates the need for additional planning digital subtraction angiography (DSA) for nidus identification by fusing pre-existing diagnostic DSA with volumetric MRI and CT images. [4]
Limitations
- Requires routine acquisition of both subtracted and unsubtracted CBCTA for successful image fusion and broad applications. [1]
- Dependency on proper hardware and user expertise for effective operation. [5]
- Requires a computing environment that meets specific hardware criteria. [5]
- Requires trained personnel to correctly interpret and utilize the processed images. [5]
- AI features depend heavily on the input image quality and parameters set by the user. [5]
- The use of image fusion is associated with the risk of error introduced by inaccuracies of the fusion process. [18]
Based on reviews from: nih.gov, brainlab.com, medicalnewsobserver.com, fda.gov
Last updated: 2026-10-29
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3-D-Gesichtsspiegelung mit Brainlab.m4v
Reinhard Bschorer
