Image-Guided Abdominal Biopsy Phantom

Model 071B
CT/ ULTRASOUND/ MRI IMAGE FUSION • LIVE SCANNING• BIOPSY TRAINING

The Model 071B, Image-Guided Abdominal Biopsy Phantom is a simplified abdominal phantom suitable for training and demonstrating image-guided needle biopsy navigation tools or procedures that require a constant visual reference for needle placement. The background gel is designed to minimize needle tracks when punctured, allowing many uses over time. It is soft enough to allow puncture with 21 gauge needles or larger, yet stiff enough that the lesions remain stable in position.

The phantom contains 12 lesions, 5-12 mm in diameter, positioned in groups of three in consistent locations within the phantom. It also includes simulated spine and ribs, and an “H” marker within the spine to assist in determining the head side within a CT image. The lesions and spine are visible under ultrasound, CT, and MRI. The solid polymer gel background is anechoic and will not leak with punctured.*

The phantom includes a foam-lined hard carry case. For users interested in image fusion studies, the phantom can be purchased as a kit to include a serial-number specific CT DICOM Data set for reference. CIRS can also offer value-added options and services such as phantom-specific CMM, attachment of customer-specific registration devices, and inclusion of special point markers.

Benefits:
  • Improve performance of freehand abdominal biopsies
  • Minimal needle tracking– Z-skin fat layer and softer gel provide better self-healing properties
  • Validate automated biopsy systems
  • Suitable for CT, MRI and Ultrasound

(1)US Patent #5196343

NOTE: Some permanent tracking may be evident if debris and air bubbles are entrained in the gel during the biopsy procedure. To extend the lifetime of the phantom, the use of higher gauge needles that have been wetted and de-aired prior to insertion is recommended.

Data Sheet

Image-Guided Abdominal Biopsy Phantom: Data Sheet

Videos

Wang, Kuan-Ju; Chen, Chieh-Hsiao; Lo, Chun-Yi; Lin, Hung-Hsin; Jason Chen, Jia-Jin; 'Ultrasound Calibration for Dual-Armed Surgical Navigation System'. Journal of Healthcare Engineering. 2022; 2022: Hindawi. View
Thapa, Bishnu Bahadur, "DEVELOPMENT OF A PATIENT SPECIFIC IMAGE PLANNING SYSTEM FOR RADIATION THERAPY" (2013).Theses and Dissertations--Physics and Astronomy.Paper 11. View

References