@article{raey,

title = {Open-source image registration for MRI-TRUS fusion-guided prostate interventions},

author = {Andriy Fedorov and Siavash Khallaghi and C. Antonio Sanchez and Andras Lasso and Sidney Fels and Kemal Tuncali and Emily Neubauer Sugar and Tina Kapur and Chenxi Zhang and William Wells and Paul Nguyen and Purang Abolmaesumi and Clare M Tempany},

url = {http://dx.doi.org/10.1007/s11548-015-1180-7

https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Fedorov2015-manuscript.pdf},

doi = {10.1007/s11548-015-1180-7},

issn = {1861-6410},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {International Journal of Computer Assisted Radiology and Surgery},

volume = {10},

number = {6},

pages = {925-934},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fichtinger2011o,

title = {Biomechanically constrained groupwise statistical shape model to ultrasound registration of the lumbar spine},

author = {Siavash Khallaghi and Parvin Mousavi and Dan Borschneck and Gabor Fichtinger and Purang Abolmaesumi},

url = {https://link.springer.com/chapter/10.1007/978-3-642-21504-9_5},

year  = {2011},

date = {2011-01-01},

pages = {47-54},

publisher = {Springer Berlin Heidelberg},

abstract = {Spinal needle injections for back pain management are frequently carried out in hospitals and radiological clinics. Currently, these procedures are performed under fluoroscopy or CT guidance in specialized interventional radiology facilities. As an alternative, the use of inexpensive ultrasound image guidance promises to reduce the costs and increase the availability and safety of procedure. We propose to eliminate the need for ionizing radiation by creating a statistical shape model of the lumbar vertebrae and registering it to 3D ultrasound volumes of patient using a groupwise registration algorithm. From a total of 35 patient CT volumes, statistical shape models of the L2, L3 and L4 vertebrae are created, including the mean shapes and principal modes of variation. The statistical shape models are simultaneously registered to the 3D ultrasound by interchangeably optimizing the model parameters and their …},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fichtinger2010g,

title = {Registration of a statistical shape model of the lumbar spine to 3D ultrasound images},

author = {Siavash Khallaghi and Parvin Mousavi and Ren Hui Gong and Sean Gill and Jonathan Boisvert and Gabor Fichtinger and David Pichora and Dan Borschneck and Purang Abolmaesumi},

url = {https://link.springer.com/chapter/10.1007/978-3-642-15745-5_9},

year  = {2010},

date = {2010-01-01},

pages = {68-75},

publisher = {Springer Berlin Heidelberg},

abstract = {Motivation: Spinal needle injections are technically demanding procedures. The use of ultrasound image guidance without prior CT and MR imagery promises to improve the efficacy and safety of these procedures in an affordable manner. Methodology: We propose to create a statistical shape model of the lumbar spine and warp this atlas to patient-specific ultrasound images during the needle placement procedure. From CT image volumes of 35 patients, statistical shape model of the L3 vertebra is built, including mean shape and main modes of variation. This shape model is registered to the ultrasound data by simultaneously optimizing the parameters of the model and its relative pose. Ground-truth data was established by printing 3D anatomical models of 3 patients using a rapid prototyping. CT and ultrasound data of these models were registered using fiducial markers. Results: Pairwise …},

keywords = {},

pubstate = {published},

tppubtype = {article}

}