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Key visual MRI for Radiation Therapy

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 Nordstrahl Klinik für Strahlentherpie, Nuremberg, Germany

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

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.

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

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

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4D Image Data Handling01
Advanced Visualization01
Rigid and Deformable Registration01

MR-based Synthetic CT6

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Deep-learning based autocontouring supporting the most relevant cancer sites

Machine learning-trained algorithms for increased efficiency and consistency in radiation therapy planning

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Head & neck01

Thorax

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Abdomen

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Pelvic area

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Siemens Healthineers syngo.via RT Image Suite

Courtesy of Aarhus Universitethospital, Denmark

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

  • Body
  • Eye globes
  • Lenses
  • Lips
  • Mandible
  • Optic chiasm
  • Optic nerves
  • Oral cavity
  • Parotid glands
Siemens Healthineers syngo.via RT Image Suite
Siemens Healthineers syngo.via RT Image Suite Contourig
syngo.via RT Image Suite Autocontouring Abdomen
Siemens Healthineers autocontouring syngo.via RT Image Suite
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Deep-learning based autocontouring for lymph nodes may support defining target volumes for radiation therapy

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Head & neck lymph nodes01
Breast lymph nodes01
Pelvic lymph nodes01
Siemens Healthineers syngo.via RT Image Suite

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)


Siemens Healthineers syngo.via RT Image Suite
Siemens Healthineers syngo.via RT Image Suite Breast Contouring
Siemens Healthineers syngo.via RT Image Suite Autocontouring Pelvis
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MR-based Synthetic CT6

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

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

Challenges of combined MRI and CT workflow

  • Accurate image registration
  • Patient scheduling
  • Resource utilization & reimbursement
Siemens Healthineers syngo.via RT Image Suite
AI-based-Synthetic-CT---Geometry-and-HU-checks-show-accurate-Synthetic-CT-results
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 MR-based Synthetic CT results for pelvis and brain

Synthetic CT Re-imagined
Synthetic CT Re-imagined

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

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

  • <19 mean dose difference in PTV, GTV, evaluated OAR
  • <0.5% and 1.4% mean dose difference for the brainstem and chiasma respectively
Synthetic CT Line Profile Comparison
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
Florian Putz Erlangen

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.


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

1
Optional.
2

Optional. Deformable Registration license recommended. 

3

Optional. DirectSPR is available only for Dual Spiral DE, Twin Spiral DE or Dual Source DE (not for TwinBeam DE and photon-counting CT).

4

Monoenergetic reconstructions at 55 keV of DECT imaging of head and neck SCC result in a significantly superior overall image quality and tumor delineation. 

5

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

6

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

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

8
The case evaluation was conducted with DirectORGANS.
9

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

10

The depicted organs are based on the selected organ template.

11
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.