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Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

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Tissue characterization using a phantom to validate four-dimensional tissue deformation.

Martin Szegedi¹, Prema Rassiah-Szegedi, Vikren Sarkar

¹Huntsman Cancer Hospital, The University of Utah, Salt Lake City, UT, USA. martin.szegedi@hci.utah.edu

Medical Physics

|October 9, 2012

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A novel real tissue phantom enables accurate validation of 4D deformable image registration (DIR) and 4D tissue deformation reconstruction (4DTDR) algorithms. This phantom allows for complete motion path verification, improving accuracy in medical imaging analysis.

Area of Science:

Medical Imaging
Biomechanical Engineering
Computational Anatomy

Background:

Accurate 4D deformable image registration (DIR) and 4D tissue deformation reconstruction (4DTDR) are crucial for image-guided interventions.
Current validation methods often rely on simplified models or limited end-point comparisons, lacking comprehensive motion path assessment.

Purpose of the Study:

To introduce and validate a novel real tissue phantom for comprehensive 4D tissue deformation reconstruction (4DTDR) and 4D deformable image registration (DIR) validation.
To enable complete verification of organ motion paths, including hysteresis, rather than just end-point motion.

Main Methods:

A fresh porcine liver was animated using patient-specific breathing patterns in a realistic phantom.
Electromagnetic-tracking (EMT) fiducials were implanted and tracked, alongside 4DCT acquisition, to record time-resolved motion paths.

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Reconstructed motion paths from 4DTDR were compared against EMT measurements and 4DCT data.

Main Results:

The phantom demonstrated repeatable motion characterization with 95% of EMT locations within 1.2 mm of the 4DCT motion path under sinusoidal breathing.
4DTDR traces matched EMT traces within 1.6 mm (sinusoidal) and 4.5 mm (patient-specific breathing).
Accurate quantification of tissue hysteresis was achieved, with average matches of 0.9 mm and 1.0 mm for sinusoidal and patient traces, respectively.

Conclusions:

The developed real tissue phantom serves as a valuable tool for validating and evaluating DIR and 4DTDR algorithms.
It facilitates comprehensive motion path validation, including the assessment of tissue hysteresis, leading to more robust algorithm performance evaluation.