syngo.via RT Image Suite

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syngo.via RT Image Suite

syngo.via RT Image Suite
Boosting efficiency

Radiation therapy is a dynamic and fast-changing field. The number of patients receiving this type of therapy is continually rising. Software applications have a key role to play here and can support efficient workflows and deliver precision for advanced therapies, they will drive clinical excellence in RT today and into the future.

syngo.via RT Image Suite was developed for radiation oncology professionals. Designed as a user-friendly work aid to make simulation, image assessment, and contouring easier and better integrated. It simplifies and standardizes daily tasks, and gives you the capabilities you need to go beyond the current standard.

Ease what you do. Seize new opportunities.

Features & Benefits

Ease what you do

Simulation, data preparation or contouring – routine tasks can suffer from workflows across many systems, manual work or unintuitive tools. Work more efficiently and comfortably with an efficient, flexible, and well integrated tool.

Siemens Healthineers syngo.via RT Image Suite — Courtesy of Aarhus Universitethospital, Denmark

Open up new treatment strategies with tumor trajectory and mid-ventilation phase

Offer new treatments by visualizing tumor trajectory and capturing mid-ventilation phase for CT, PET-CT, and MR
Semi-automatic calculation of the 4D CT phase where the tumor is closest to mid-ventilation position ��
ITV generation with semi-automatic contour propagation over multiple breathing phases¹

OneViewer Plugins

Enables you to combine favorite tools individually based on your daily clinical tasks
Improves your user experience by having your favorite tools directly accessible in one place

Simplify your clinical workflow with contouring tools

Deep learning-based OAR contouring automatically provides results to your treatment planning system for CT data
Smart contouring tools for parallel contouring on multiple images enabling "CT-free" contouring on MR or PET images
Use multimodality images more confidently with Deformable Registration¹ and Contouring Propagation¹

Speed up your workflow with straightforward patient marking

Direct Laser with Virtual Laser View displays the laser line on a 3D patient model (VRT) as a virtual reference for patient marking
Semi-automated isocenter placement workflow for breast and spine treatments
Evaluate beam geometry fast, adapted to the tumor's shape with multimodality beam placement support (CT, PET/CT, MRI)

Open up new treatment strategies with tumor trajectory and mid-ventilation phase

Offer new treatments by visualizing tumor trajectory and capturing mid-ventilation phase for CT, PET-CT, and MR
Semi-automatic calculation of the 4D CT phase where the tumor is closest to mid-ventilation position ��
ITV generation with semi-automatic contour propagation over multiple breathing phases¹

Simplify your clinical workflow with contouring tools

Deep learning-based OAR contouring automatically provides results to your treatment planning system for CT data
Smart contouring tools for parallel contouring on multiple images enabling "CT-free" contouring on MR or PET images
Use multimodality images more confidently with Deformable Registration¹ and Contouring Propagation¹

Speed up your workflow with straightforward patient marking

Direct Laser with Virtual Laser View displays the laser line on a 3D patient model (VRT) as a virtual reference for patient marking
Semi-automated isocenter placement workflow for breast and spine treatments
Evaluate beam geometry fast, adapted to the tumor's shape with multimodality beam placement support (CT, PET/CT, MRI)

Open up new treatment strategies with tumor trajectory and mid-ventilation phase

Offer new treatments by visualizing tumor trajectory and capturing mid-ventilation phase for CT, PET-CT, and MR
Semi-automatic calculation of the 4D CT phase where the tumor is closest to mid-ventilation position ��
ITV generation with semi-automatic contour propagation over multiple breathing phases¹

Seize new opportunities

From introducing new treatment techniques to accurately contouring and planning with state of the art imaging or implementing inter-disciplinary cancer care – lacking tool support can make life hard for radiation oncology professionals.

Seize new opportunities and take your practice beyond today's standard with syngo.via RT Image Suite.

Use of Dual Energy results

syngo.via RT Image Suite allows to incorporate Dual Energy CT information in the contouring process. The user can interactively choose the preferred contrast of the dual energy spectral CT scans⁵ by using monoenergetic images and thus improve the tumor delineation.
syngo.via offers Dual Energy based Stopping Power Ratio (SPR) calculation with syngo.CT DE DirectSPR^1,3,4 as well as the calculation of relative electron density and effective atomic number (Rho/Z)

Siemens Healthineers syngo.via RT Image Suite Synthetic CT — Courtesy of Universitätsklinikum Erlangen, Strahlenklinik, Germany

MR-only workflow with MR-based Synthetic CT⁶

Use a straightforward MR-only workflow with MR-based Synthetic CT for brain and pelvic cancer patients
Eliminate the problem of registration errors between CT and MR in radiation therapy��
Easy assessment of the alignment between the Synthetic CT and MR images by using the checkerboard

Use of Dual Energy results

syngo.via RT Image Suite allows to incorporate Dual Energy CT information in the contouring process. The user can interactively choose the preferred contrast of the dual energy spectral CT scans⁵ by using monoenergetic images and thus improve the tumor delineation.
syngo.via offers Dual Energy based Stopping Power Ratio (SPR) calculation with syngo.CT DE DirectSPR^1,3,4 as well as the calculation of relative electron density and effective atomic number (Rho/Z)

MR-only workflow with MR-based Synthetic CT⁶

Use a straightforward MR-only workflow with MR-based Synthetic CT for brain and pelvic cancer patients
Eliminate the problem of registration errors between CT and MR in radiation therapy��
Easy assessment of the alignment between the Synthetic CT and MR images by using the checkerboard

Use of Dual Energy results

syngo.via RT Image Suite allows to incorporate Dual Energy CT information in the contouring process. The user can interactively choose the preferred contrast of the dual energy spectral CT scans⁵ by using monoenergetic images and thus improve the tumor delineation.
syngo.via offers Dual Energy based Stopping Power Ratio (SPR) calculation with syngo.CT DE DirectSPR^1,3,4 as well as the calculation of relative electron density and effective atomic number (Rho/Z)

Learn more about the features of syngo.via RT Image Suite

Deep-learning based autocontouring with machine learning-trained algorithms for increased efficiency and consistency in radiation therapy planning

syngo.via RT Image Suite supports all relevant body regions for OAR contouring for CT data

Brain and Head & Neck��
Thorax & Breast��
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Pelvic Area
Lymphnode regions for Head & Neck, Thorax, Breast, and pelvic area��

Autocontouring in radiation therapy for various clinical environments

Learn more about our deep-learning-based autocontouring solutions for radiation therapy, which enable precise contouring of organs at risk, reduce workload, and standardize key CT simulation steps.

Additionally, it´s possible to customize the contouring process for specific organs (e.g. breast or brainstem) by choosing from two different contouring guidelines (e.g. ESTRO or DAHANCA)

Courtesy of Diagnostikum Graz, Graz, Austria
_{Autocontouring results are generated by Siemens Healthineers.}
_{The displayed renderings are created with software which is not commercially available.}

syngo.via RT Image Suite supports brain and pelvis OAR contouring and brain metastases contouring for MR data

Courtesy of Universitätsklinikum Erlangen, Germany
_{Autocontouring results are generated by Siemens Healthineers.}
_{The displayed renderings are created with software which is not commercially available.}

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Deep-learning based autocontouring for lymph nodes may support defining target volumes for radiation therapy

Courtesy of Aarhus Universitethospital, Denmark

Contoured lymph nodes in the head & neck area, e.g.¹⁰

LN level Ia: Submandibular triangle (L/R)
LN level II: Upper jugular nodes (L/R)
LN level III: Middle jugular nodes (L/R)
LN level IVa: Lower jugular group (L/R)

MR-based Synthetic CT⁶

AI-powered algorithm for MR-only workflow in pelvis and brain

Courtesy of Universitätsklinikum Erlangen, Strahlenklinik, Germany

Challenges of combined MRI and CT workflow

Accurate image registration
Patient scheduling
Resource utilization & reimbursement

��MR-based Synthetic CT results for pelvis and brain

Clinical Use

Blinded evaluation of autocontouring at Universitätsklinikum Erlangen

Siemens Healthineers autocontouring study results

Study details:
Clinical evaluation of clinical images from 50 patients with a total number of 2,040 organs-at-risk structures. Each resulting OAR was then evaluated by 3 physicians in a blinded study (manually vs. auto-contoured clinical images).^8,11

Dose Distribution MR-based Synthetic CT — Clinical evaluation and image courtesy of Universitätsklinikum Erlangen, Strahlenklinik, Germany

Dose distribution on MR-based Synthetic CT and CT with corresponding DVHs

<1% mean dose difference in PTV, GTV, evaluated OAR¹²
<0.5% and 1.4% mean dose difference for the brainstem and chiasma respectively¹²

Courtesy of Centre Hospitalier de l'Université de Monréal, Canada

An internal validation of geometric fidelity and HU unit accuracy

The geometric fidelity test was passed with an average symmetric surface distance (ASSD) <1mm for brain and pelvis. For HU accuracy, line profiles from CT and MR-based Synthetic CT of the same patient were compared as shown in the image.

Testimonials

“Current state of the art enables OAR autosegmentations that are on par with human experts.”¹¹

Dr. Florian Putz

Universitätsklinikum Erlangen, Strahlenklinik, Germany

Reduce contouring time in complex cases?

Consistent, high-quality contoured images are key for precise radiation therapy planning. The automation of organs-at-risk contouring could help increase consistency while achieving better efficiency. Gain first-hand user experience from the Department of Radiation Oncology at Universitätsklinikum Erlangen.

Siemens Healthineers and AI

Find out how Siemens Healthineers is transforming big data into precision medicine.

Advancing medicine with artificial intelligence

We are transforming big data into precision medicine – by researching and developing scalable AI solutions that help automate the clinical routines of complex diagnostics and therapies. We call it AI factory and it's built on a reliable infrastructure that includes hardware, software, and experts.

Services & Support

Education & Training

Did this information help you?

The products/features (mentioned herein) are not commercially available in all countries. Their future availability cannot be guaranteed.

Optional.

Optional. Deformable Registration license recommended.

DirectSPR is designed for SOMATOM Dual Energy scanners and NAETOM scanners (>= VB20) from Siemens Healthineers. TwinBeam DE images are not considered for SPR calculations with DirectSPR.

syngo.CT DE DirectSPR should always be used with the corresponding software version at the CT-scanner. For syngo.via VC10 the CT-scanner (independent of CT-model) must be at syngo.CT VB20.

Interactive Spectral Imaging support will only work with a CT Dual Energy license.

Optional. MR-based Synthetic CT is an optional feature available in syngo.via RT Image Suite starting from software version VB60.

Ventilation results produced by syngo.via RT Image Suite should not be used as the sole diagnostic tool.

The case evaluation was conducted with DirectORGANS.

The case evaluation was conducted with Organs RT on syngo.via RT Image Suite.

The depicted organs are based on the selected organ template.

The statements by Siemens Healthineers’ customers described herein are based on results that were achieved in the customer's unique setting. Because there is no “typical” hospital or laboratory and many variables exist (e.g., hospital size, samples mix, case mix, level of IT and/or automation adoption) there can be no guarantee that other customers will achieve the same results. Dr. Florian Putz is employed by an institution that receives financial support from Siemens Healthineers for collaborations. Dr. Manuel Algara López is engaged in a collaboration with Siemens Healthineers. Stephane Muraro is engaged in a collaboration with Siemens Healthineers.

Results are based on syngo.via VB60 Synthetic CT algorithm.

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syngo.via RT Image SuiteBoosting efficiency

Features & Benefits

Ease what you do

OneViewer Plugins

Seize new opportunities

MR-only workflow with MR-based Synthetic CT6

Learn more about the features of syngo.via RT Image Suite

Deep-learning based autocontouring with machine learning-trained algorithms for increased efficiency and consistency in radiation therapy planning

Autocontouring in radiation therapy for various clinical environments

syngo.via RT Image Suite supports brain and pelvis OAR contouring and brain metastases contouring for MR data

Contoured lymph nodes in the head & neck area, e.g.10

MR-based Synthetic CT6

Challenges of combined MRI and CT workflow

Clinical Use

Blinded evaluation of autocontouring at Universitätsklinikum Erlangen

Dose distribution on MR-based Synthetic CT and CT with corresponding DVHs

An internal validation of geometric fidelity and HU unit accuracy

Testimonials

Reduce contouring time in complex cases?

Siemens Healthineers and AI

Advancing medicine with artificial intelligence

Did this information help you?

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syngo.via RT Image Suite
Boosting efficiency

MR-only workflow with MR-based Synthetic CT⁶

Contoured lymph nodes in the head & neck area, e.g.¹⁰

MR-based Synthetic CT⁶