@article{Hefny2008,

title = {Quantification of edematic effects in prostate brachytherapy interventions},

author = {Mohamed Hefny and Purang Abolmaesumi and Zahra Karim-Aghaloo and David Gobbi and Randy Ellis and Gabor Fichtinger},

url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Hefny2008.pdf},

year  = {2008},

date = {2008-01-01},

urldate = {2008-01-01},

journal = {Medical image computing and computer-assisted intervention (MICCAI)},

volume = {11},

number = {Pt 2},

pages = {493–500},

publisher = {School of Computing, Queen’s University, Kingston, Ontario, Canada},

abstract = {<p>We present a quantitative model to analyze the detrimental effects of for edema on the quality of prostate brachytherapy implants We account for both tissue expansion, implant migration by mapping intra-operative ultrasound, post-implant CT We pre-process the ultrasound with a phase congruency filter, and map it to the volume CT using a B-spline deformable mutual information similarity metric To test the method, we implanted a standard training phantom with 48 seeds, imaged the phantom with ultrasound, CT, registered the two for ground truth Edema was simulated by distorting the CT volume by known transformations The objective was to match the distorted implant to the intra-operative ultrasound Performance was measured relative to ground truth We successfully mapped 100% of deformed seeds to ground truth under edematic expansion up to 40% of volume growth Seed matching performance was 98% with random seed migration of 3mm superimposed on 10% edematic volume growth This method promises to be clinically applicable as the first quantitative analysis tool to measure edematic implant deformations occurring between the operating room, post-operative CT imaging</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Tokuda2008,

title = {Software strategy for robotic transperineal prostate therapy in closed-bore MRI},

author = {Junichi Tokuda and Gregory Fischer and Csaba Csoma and Simon DiMaio and David Gobbi and Gabor Fichtinger and Clare M Tempany and Nobuhiko Hata},

url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Tokuda2008a.pdf},

year  = {2008},

date = {2008-01-01},

urldate = {2008-01-01},

journal = {Medical image computing and computer-assisted intervention (MICCAI)},

volume = {11},

number = {Pt 2},

pages = {701–709},

publisher = {Department of Radiology, Brigham, Women’s Hospital, Harvard Medical School, 75 Francis St , Boston, MA 02115, USA tokuda@bwh harvard edu},

abstract = {<p>A software strategy to provide intuitive navigation for MRI-guided robotic transperineal prostate therapy is presented In the system, the robot control unit, the MRI scanner, and open-source navigation software are connected to one another via Ethernet to exchange commands, coordinates, and images Six states of the system called "workphases" are defined based on the clinical scenario to synchronize behaviors of all components The wizard-style user interface allows easy following of the clinical workflow On top of this framework, the software provides features for intuitive needle guidance: interactive target planning; 3D image visualization with current needle position; treatment monitoring through real-time MRI These features are supported by calibration of robot, image coordinates by the fiducial-based registration The performance test shows that the registration error of the system was 2 6 mm in the prostate area, and it displayed real-time 2D image 1 7 s after the completion of image acquisition</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DiMaio2007b,

title = {Challenges in image-guided therapy system design},

author = {Simon DiMaio and Tina Kapur and Kevin Cleary and Stephen Aylward and Peter Kazanzides and Kirby Vosburgh and Randy Ellis and James Duncan and Keyvan Farahani and Heinz Lemke and T. M. Peters and William Bill Lorensen and David Gobbi and John Haller and Laurence Larry Clarke and Stephen Pizer and Russell H. Taylor and Jr. Robert L. Galloway and Gabor Fichtinger and Nobuhiko Hata and Kimberly Lawson and Clare M Tempany and Ron Kikinis and Ferenc Jolesz},

url = {http://dx doi org/10 1016/j neuroimage 2007 04 026

https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/DiMaio2007b.pdf},

doi = {10 1016/j neuroimage 2007 04 026},

year  = {2007},

date = {2007-01-01},

urldate = {2007-01-01},

journal = {Neuroimage},

volume = {37 Suppl 1},

pages = {S144–S151},

publisher = {Brigham, Women’s Hospital, 75 Francis St , Boston, MA 02115, USA simond@bwh harvard edu},

abstract = {<p>System development for image-guided therapy (IGT), or image-guided interventions (IGI), continues to be an area of active interest across academic, industry groups This is an emerging field that is growing rapidly: major academic institutions, medical device manufacturers have produced IGT technologies that are in routine clinical use, dozens of high-impact publications are published in well regarded journals each year, and several small companies have successfully commercialized sophisticated IGT systems In meetings between IGT investigators over the last two years, a consensus has emerged that several key areas must be addressed collaboratively by the community to reach the next level of impact, efficiency in IGT research, development to improve patient care These meetings culminated in a two-day workshop that brought together several academic, industrial leaders in the field today The goals of the workshop were to identify gaps in the engineering infrastructure available to IGT researchers, develop the role of research funding agencies, the recently established US-based National Center for Image Guided Therapy (NCIGT), and ultimately to facilitate the transfer of technology among research centers that are sponsored by the National Institutes of Health (NIH) Workshop discussions spanned many of the current challenges in the development, deployment of new IGT systems Key challenges were identified in a number of areas, including: validation standards; workflows, use-cases, and application requirements; component reusability;, device interface standards This report elaborates on these key points, proposes research challenges that are to be addressed by a joint effort between academic, industry, and NIH participants</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}