Big Bore RT
Big Bore RT
  • Big Bore RT - CT scanner for radiation therapy and oncology
  • Big Bore RT - CT scanner for radiation therapy and oncology

Big Bore RT

Big Bore RT
Big Bore RT is designed as a CT simulator to enhance clinical confidence, accelerate time to treat and maximize value of its investment without compromising on patient experience – four dimensions that are essential towards excellent care.

Clinical image gallery

  • BBRT Abdomen and Pelvis
    BBRT Abdomen and Pelvis
  • BBRT Brain iDose IMR
    BBRT Brain iDose IMR
  • BBRT Abdomen for adenocarcinoma of the rectum
    BBRT Abdomen for adenocarcinoma of the rectum
  • BBRT Abdomen and Pelvis with O-MAR
    BBRT Abdomen and Pelvis with O-MAR
  • BBRT lung CT Full FOV 3mm slice thickness
    BBRT lung CT Full FOV 3mm slice thickness
  • BBRT Abdomen 50 cm FOV and 2mm Slice thickness
    BBRT Abdomen 50 cm FOV and 2mm Slice thickness
  • BBRT BI-lateral knee
    BBRT BI-lateral knee
  • BBRT Chest abdomen pelvis
    BBRT Chest abdomen pelvis
  • BBRT Abdomen IMR
    BBRT Abdomen IMR
  • BBRT Abdomen iDose IMR
    BBRT Abdomen iDose IMR
  • iDose⁴ with O-MAR
    iDose⁴ with O-MAR
Features
Focusing on what matters in radiation oncology
Big Bore RT offers advanced tools to facilitate accurate efficient patient marking and simulation workflow. Featuring 60 cm true scan FOV for full anatomic visualization. It provides spatial positioning accuracy of less than 2mm between the imaging plane and the laser marking plane for confidence in patient marking. This meets the AAPM TG 66.
Focusing on what matters in radiation oncology
Where imaging and treatment planning meet
While excellent image quality is the foundation for accurate contouring and treatment plans, radiation oncology demands more. The Big Bore RT offers superb imaging and simulation solutions that integrate with your department workflow for the accuracy and efficiency cancer care requires.
Where imaging and treatment planning meet
Accelerate time to treatment
Efficiently move from scan to plan with virtual simulation and patient marking integrated at the scanner. Multimodality Simulation Workspace is a vendor-neutral image simulation platform that supports image fusion and contouring for all available images and data sets. It provides clinical teams with the tools necessary for multimodality image fusion, auto-contouring, and efficient collaborations helping to reduce patient wait time while providing quality care.
Accelerate time to treatment


Specifications
  • Features
    Bore size
    85 cm
    Scan field of view
    60 cm
    Gantry tilt
    -30° to +30° w/0.5° increments
    Generator power
    80 kW

Documentation

Big Bore RT Product Brochure
PDF|790.88 KB

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  • Multimodality Simulation Workspace A versatile multimodality image platform for simulation and therapy planning
    Designed to bring clarity and personalization in radiation oncology closer to the point of care, Philips Multimodality Simulation Workspace connects to Philips and non-Philips imaging devices or PACS to access image datasets including CT, MR, PET, and Spectral CT. It provides vendor-neutral support for multimodality image fusion and contouring to help physicians better define tumor volume and surrounding organs-at-risk.
Disclaimer
* In clinical practice, the use of IMR may reduce CT patient dose depending on the clinical task, patient size, anatomical location, and clinical practice. A consultation with a radiologist and a physicist should be made to determine the appropriate dose to obtain diagnostic image quality for the particular clinical task. Lower image noise, improved spatial resolution, improved low-contrast detectability, and/or dose reduction, were tested using reference body protocols. All metrics were tested on phantoms. Dose reduction assessments were performed using 0.8 mm slices, and tested on the MITA CT IQ Phantom (CCT183, The Phantom Laboratory), using human observers. Data on file.
** Image noise as defined by IEC standard 61223-3-5. Image noise was assessed using reference body protocol, on a phantom. Data on file