Elements Spine SRS
Brainlab's Elements Spine Stereotactic Radiosurgery (SRS) is an advanced software solution designed to optimize the treatment of spinal metastases. The workflow incorporates automation at every step, including anatomical mapping, curvature correction, and target definition, ensuring submillimetric accuracy and consistency. A unique algorithm compensates for variations in spinal curvature, enhancing image fusion accuracy. Automatic segmentation of spinal anatomy utilizes a patented synthetic tissue model to identify and label individual spine levels, facilitating precise dose calculations. The software provides spinal tumor outlining tools for Gross Tumor Volume (GTV) contouring and automatically proposes the corresponding Clinical Target Volume (CTV) and cropped spinal canal object based on International Spine Consortium Guidelines. Integration with AI-powered contouring solutions enables automatic, reliable, and fast delineation of over 200 structures, including lymph nodes.
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SYNTHIA Retrosynthesis Software
Expert-coded by chemists and engineered by computer scientists, SYNTHIA™ Retrosynthesis Software enables scientists to quickly find and easily navigate innovative and novel pathways for novel and published target molecules.
Quickly and efficiently scan hundreds of pathways to help you identify the best option according to your needs.
Explore the most cost-effective routes to your target molecules with state of the art visualization and filtering options.
Easily customize search parameters to eliminate or promote reactions, reagents or classes of molecules.
Explore unique and innovative syntheses that may be unknown for building your desired molecule.
Easily generate a list of commercially available starting materials for your synthesis.
Benefit from ISO/IEC 27001 Information Security Certification to guarantee the confidentiality, integrity, and protection of your data.
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Elements Contrast Clearance Analysis
Brainlab's Elements Contrast Clearance Analysis is an MRI-based methodology designed to differentiate regions of contrast clearance and accumulation in brain tumor datasets. This high-resolution analysis provides additional insights to support ongoing assessment and decision-making in clinical specialties such as radiosurgery, radiation oncology, neurosurgery, neuro-oncology, and neuroradiology. The process involves acquiring two standard 3D T1-weighted MRIs, one approximately 5 minutes and another 60 to 105 minutes after the injection of a standard dose of contrast agent. The first series is subtracted from the second to generate volumetric maps that distinguish regions of contrast clearance (depicted in blue) from contrast accumulation (depicted in red). These results enable clinicians to assess radiation effects versus tumor regrowth, facilitating more informed decisions for initial and follow-up treatments.
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MIStar
Apollo Medical Imaging Technology is a clinically-driven medical imaging software company specializing in the creation of advanced image processing software for clinical and research applications. Their flagship product, MIStar, is a fast, economical, and easy-to-use software package that provides a broad spectrum of advanced functions and cost-effective cross-modality solutions for clinicians and the OEMs that serve them. MIStar supports various imaging modalities, including CT, MR, NM, and PET, and offers advanced modules such as CT Perfusion for stroke, brain tumor, body tumor, liver, kidney, and prostate; DSC-MRI for stroke; DCE-MRI for brain tumor, breast, body tumor, liver, kidney, and prostate; DWI & ADC; DTI Fiber Tractography; NM Renogram Analysis; and Image Fusion. The software features data access and image input through DICOM networking functions, an intuitive clinical database, and easy anonymization and archiving.
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