Surface Mesh-Based Ultrasound Simulator For Spinal Interventions

dc.contributor.authorBartha, Lauraen
dc.contributor.supervisorFichtinger, Gaboren
dc.date2013-07-24 12:28:57.201's University at Kingstonen
dc.descriptionThesis (Master, Computing) -- Queen's University, 2013-07-24 12:28:57.201en
dc.description.abstractPurpose: Ultrasound is prevalent in image-guided therapy as a safe, inexpensive, and widely available imaging modality. However, extensive training in interpreting ultrasound images is essential for successful procedures. An open-source ultrasound image simulator was developed to facilitate the training of ultrasound-guided spinal intervention procedures, thereby eliminating the need for an ultrasound machine from the phantom-based training environment. Methods: Anatomical structures and surgical tools are converted to surface meshes for data compression. Anatomical data is converted from segmented volumetric images, while the geometry of surgical tools is available as a surface mesh. The pose of the objects are either constants or live measurements from a pose tracking device. Intersection points between the surface models and the ultrasound scan lines are determined with a binary space partitioning tree. The scan lines are divided into segments and filled with grey values determined by an intensity calculation accounting for material properties, reflection, and attenuation parameters defined in a configuration file. The scan lines are then converted to a regular brightness-mode ultrasound image. Results: The simulator was tested in a tracked ultrasound imaging system, with a mock transducer tracked by an Ascension TrakStar electromagnetic tracker, on a spine phantom. A mesh model of the spine was created from CT. The simulated ultrasound images were generated at a speed of 50 frames per second, and a resolution of 820 x 616 pixels on a PC with a 3.4 GHz processor. A human subject trial was conducted to compare the learning performance of novice trainees with real and simulated ultrasound in the localization of the facet joints of a spine phantom. With 22 participants split into two equal groups and each participant localizing 6 facet joints, there was no statistical difference in the performance of the two groups, indicating that simulated ultrasound could indeed replace the real ultrasound in phantom-based ultrasonography training for spinal interventions. Conclusion: The ultrasound simulator was implemented and integrated into the open-source Public Library for Ultrasound ( and SlicerIGT ( toolkitsen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectSurface Meshen
dc.titleSurface Mesh-Based Ultrasound Simulator For Spinal Interventionsen
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