Clinical software
CTfor radiosurgeryhospital

Clinical software - Brainlab - CT / for radiosurgery / hospital
Clinical software - Brainlab - CT / for radiosurgery / hospital
Clinical software - Brainlab - CT / for radiosurgery / hospital - image - 2
Clinical software - Brainlab - CT / for radiosurgery / hospital - image - 3
Clinical software - Brainlab - CT / for radiosurgery / hospital - image - 4
Clinical software - Brainlab - CT / for radiosurgery / hospital - image - 5
Clinical software - Brainlab - CT / for radiosurgery / hospital - image - 6
Clinical software - Brainlab - CT / for radiosurgery / hospital - image - 7
Clinical software - Brainlab - CT / for radiosurgery / hospital - image - 8
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Characteristics

Applications
clinical, CT, for radiosurgery, hospital
Function
visualization, preoperative planning, treatment planning, treatment, tracking, contour detection, contouring, multimodal image fusion
Type
automated

Description

Treat your patients to less time per treatment Reduce your treatment delivery times by irradiating multiple brain metastases simultaneously without treating the whole brain. This pre-planning and planning workflow, comprised of an array of highly-automated software applications, addresses specific clinical challenges at each stage of the planning process. The Multiple Brain Mets Workflow allows you to create single isocenter plans in minutes, guaranteeing target coverage while offering excellent conformity and steep dose gradients. Preparing for multiple brain metastases planning Automation is a part of each step of our pre-planning workflow, which includes image fusion, distortion correction, object outlining and segmentation. Expedite your planning and treatment times with these fast and reliable tools. Rigid and deformable co-registration Elements Distortion Correction applies a deformable registration exclusively for the cranium to correct patient-specific distortions by the MR scanner while respecting the anatomical ground truth. Organ-at-risk segmentation Elements Anatomical Mapping automates the time-consuming process of contouring organs at risk by efficiently, consistently and accurately registering datasets to a synthetic full body tissue model including more than 100 cranial structures.

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