@article {Janssen2020a, title = {Navigated tissue characterization during skin cancer surgery}, journal = {Int J Comput Assist Radiol Surg}, year = {In Press}, month = {05/2020}, abstract = {

Purpose:\ Basal cell carcinoma (BCC) is the most commonly diagnosed skin cancer and is treated by surgical resection. Incomplete tumor removal requires surgical revision, leading to significant healthcare costs and impaired cosmesis. We investigated the clinical feasibility of a surgical navigation system for BCC surgery, based on molecular tissue characterization using rapid evaporative ionization mass spectrometry (REIMS).

Methods:\ REIMS enables direct tissue characterization by analysis of cell-specific molecules present within surgical smoke, produced during electrocautery tissue resection. A tissue characterization model was built by acquiring REIMS spectra of BCC, healthy skin and fat from ex vivo skin cancer specimens. This model was used for tissue characterization during navigated skin cancer surgery. Navigation was enabled by optical tracking and real-time visualization of the cautery relative to a contoured resection volume. The surgical smoke was aspirated into a mass spectrometer and directly analyzed with REIMS. Classified BCC was annotated at the real-time position of the cautery. Feasibility of the navigation system, and tissue classification accuracy for ex vivo and intraoperative surgery were evaluated.

Results:\ Fifty-four fresh excision specimens were used to build the ex vivo model of BCC, normal skin and fat, with 92\% accuracy. While 3 surgeries were successfully navigated without breach of sterility, the intraoperative performance of the ex vivo model was low (\< 50\%). Hypotheses are: (1) the model was trained on heterogeneous mass spectra that did not originate from a single tissue type, (2) during surgery mixed tissue types were resected and thus presented to the model, and (3) the mass spectra were not validated by pathology.

Conclusion:\ REIMS-navigated skin cancer surgery has the potential to detect and localize remaining tumor intraoperatively. Future work will be focused on improving our model by using a precise pencil cautery tip for burning localized tissue types, and having pathology-validated mass spectra.

}, keywords = {Intraoperative surgical resection margin assessment, Model-guided surgery, Optical navigation, Real-time tissue characterization}, doi = {10.1007/s11548-020-02200-4}, url = {https://doi.org/10.1007/s11548-020-02200-4}, author = {Natasja Janssen and Martin Kaufmann and Alice Santilli and Amoon Jamzad and Vanderbeck Kaitlin and Kevin Ren and Tamas Ungi and Parvin Mousavi and John Rudan and Doug McKay and Amy Wang and Gabor Fichtinger} } @article {Hu2022, title = {Real-time automatic tumor segmentation for ultrasound-guided breast-conserving surgery navigation}, journal = {International Journal of Computer Assisted Radiology and Surgery}, year = {In Press}, month = {05/2022}, doi = {10.1007/s11548-022-02658-4}, url = {https://doi.org/10.1007/s11548-022-02658-4}, author = {Zoe Hu and Paola V. Nasute Fauerbach and Chris Yeung and Tamas Ungi and John Rudan and C. Jay Engel and Parvin Mousavi and Gabor Fichtinger and Doris Jabs} } @conference {Connolly2022, title = {Feasibility of combined optical and acoustic imaging for surgical cavity scanning}, booktitle = {SPIE Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling}, volume = {12034}, year = {2022}, month = {04/2022}, address = {San Diego (online)}, abstract = { PURPOSE: Over 30\% of breast conserving surgery patients must undergo repeat surgery to address incomplete tumor resection. We hypothesize that the addition of a robotic cavity scanning system can improve the success rates of these procedures by performing additional, intraoperative imaging to detect left-over cancer cells. In this study, we assess the feasibility of a combined optical and acoustic imaging approach for this cavity scanning system. METHODS: Dual-layer tissue phantoms are imaged with both throughput broadband spectroscopy and an endocavity ultrasound probe. The absorbance and transmittance of the incident light from the broadband source is used to characterize each tissue sample optically. Additionally, a temporally enhanced ultrasound approach is used to distinguish the heterogeneity of the tissue sample by classifying individual pixels in the ultrasound image with a support vector machine. The goal of this combined approach is to use optical characterization to classify the tissue surface, and acoustic characterization to classify the sample heterogeneity. RESULTS: Both optical and acoustic characterization demonstrated promising preliminary results. The class of each tissue sample is distinctly separable based on the transmittance and absorption of the broadband light. Additionally, an SVM trained on the temporally enhance ultrasound signals for each tissue type, showed 82\% linear separability of labelled temporally enhanced ultrasound sequences in our test set. CONCLUSIONS: By combining broadband and ultrasound imaging, we demonstrate a potential non-destructive imaging approach for this robotic cavity scanning system. With this approach, our system can detect both surface level tissue characteristics and depth information. Applying this to breast conserving surgery can help inform the surgeon about the tissue composition of the resection cavity after initial tumor resection.}, doi = {https://doi.org/10.1117/12.2611964}, author = {Laura Connolly and Amoon Jamzad and Arash Nikniazi and Rana Poushimin and Jean Michel Nunzi and John Rudan and Gabor Fichtinger and Parvin Mousavi} } @article {Kaufmann2022b, title = {Harmonization of Rapid Evaporative Ionization Mass Spectrometry Workflows across Four Sites and Testing Using Reference Material and Local Food-Grade Meats}, journal = {Metabolites}, year = {2022}, author = {Martin Kaufmann and Pierre-Maxence Vaysse and Adele Savage and Ala Amgheib and Andr{\'a}s Marton and Eftychios Manoli and Gabor Fichtinger and Steven D. Pringle and John Rudan and Ron M. A. Heeren and Zolt{\'a}n Tak{\'a}ts and J{\'u}lia Balog and Tiffany Porta Siegel} } @conference {connolly2022b, title = {An open-source testbed for developing image-guided robotic tumor-bed inspection}, booktitle = {Imaging Network of Ontario (ImNO) Symposium}, year = {2022}, author = {Laura Connolly and Amoon Jamzad and Arash Nikniazi and Rana Poushimin and Andras Lasso and Kyle R. Sunderland and Tamas Ungi and Jean Michel Nunzi and John Rudan and Gabor Fichtinger and Parvin Mousavi} } @article {Fooladgar2022, title = {Uncertainty estimation for margin detection in cancer surgery using mass spectrometry}, journal = {International Journal of Computer Assisted Radiology and Surgery}, year = {2022}, month = {09/2022}, type = {Journal}, doi = {https://doi.org/10.1007/s11548-022-02764-3}, author = {Fahimeh Fooladgar and Amoon Jamzad and Laura Connolly and Alice Santilli and Martin Kaufmann and Kevin Ren and Purang Abolmaesumi and John Rudan and Doug McKay and Gabor Fichtinger and Parvin Mousavi} } @article {Connolly2021c, title = {Combined Mass Spectrometry and Histopathology Imaging for Perioperative Tissue Assessment in Cancer Surgery}, journal = {Journal of Imaging}, volume = {7}, number = {203}, year = {2021}, month = {10/2021}, type = {Article}, abstract = {

Mass spectrometry is an effective imaging tool for evaluating biological tissue to detect cancer. With the assistance of deep learning, this technology can be used as a perioperative tissue assessment tool that will facilitate informed surgical decisions. To achieve such a system requires the development of a database of mass spectrometry signals and their corresponding pathology labels. Assigning correct labels, in turn, necessitates precise spatial registration of histopathology and mass spectrometry data. This is a challenging task due to the domain differences and noisy nature of images. In this study, we create a registration framework for mass spectrometry and pathology images as a contribution to the development of perioperative tissue assessment. In doing so, we explore two opportunities in deep learning for medical image registration, namely, unsupervised, multi-modal deformable image registration and evaluation of the registration. We test this system on prostate needle biopsy cores that were imaged with desorption electrospray ionization mass spectrometry (DESI) and show that we can successfully register DESI and histology images to achieve accurate alignment and, consequently, labelling for future training. This automation is expected to improve the efficiency and development of a deep learning architecture that will benefit the use of mass spectrometry imaging for cancer diagnosis.

}, doi = {https://doi.org/10.3390/jimaging7100203}, author = {Laura Connolly and Amoon Jamzad and Martin Kaufmann and Catriona E. Farquharson and Kevin Ren and John Rudan and Gabor Fichtinger and Parvin Mousavi} } @article {NasuteFauerbach2021, title = {Lack of definitive presurgical pathological diagnosis is associated with inadequate surgical margins in breast-conserving surgery}, journal = {European Journal of Surgical Oncology}, year = {2021}, month = {06/2021}, abstract = {

Purpose To determine the impact of definitive presurgical diagnosis on surgical margins in breast-conserving surgery (BCS) for primary carcinomas; clinicopathological features were also analyzed. Methods This retrospective study included women who underwent BCS for primary carcinomas in 2016 and 2017. Definitive presurgical diagnosis was defined as having a presurgical core needle biopsy (CNB) and not being upstaged between biopsy and surgery. Biopsy data and imaging findings including breast density were retrieved. Inadequate surgical margins (IM) were defined per latest ASCO and ASTRO guidelines. Univariable and multivariable analyses were performed. Results 360 women (median age, 66) met inclusion criteria with 1 having 2 cancers. 82.5\% (298/361) were invasive cancers while 17.5\% (63/361) were ductal carcinoma in situ (DCIS). Most biopsies were US-guided (284/346, 82.0\%), followed by mammographic (60/346, 17.3\%), and MRI-guided (2/346, 0.6\%). US and mammographic CNB yielded median samples of 2 and 4, respectively, with a 14G needle. 15 patients (4.2\%) lacked presurgical CNB. The IM rate was 30.0\%. In multivariable analysis, large invasive cancers (\>20\ mm), dense breasts, and DCIS were associated with IM (p\ =\ 0.029, p\ =\ 0.010, and p\ =\ 0.013, respectively). Most importantly, lack of definitive presurgical diagnosis was a risk factor for IM (OR, 2.35; 95\% CI: 1.23{\textendash}4.51, p\ =\ 0.010). In contrast, neither patient age (\<50) nor aggressive features (e.g., LVI) were associated with IM. Conclusion Lack of a definitive presurgical diagnosis was associated with a two-fold increase of IM in BCS; other risk factors were dense breasts, large invasive cancers, and DCIS.

}, keywords = {Breast cancer, Breast-conserving surgery (BCS), Core needle biopsy and vacuum-assisted biopsy, Definitive presurgical diagnosis, High-risk lesions, Surgical margins}, issn = {0748-7983}, doi = {https://doi.org/10.1016/j.ejso.2021.05.047}, url = {https://www.sciencedirect.com/science/article/pii/S0748798321005424}, author = {Paola V. Nasute Fauerbach and Kathrin Tyryshkin and Silvia Perez Rodrigo and John Rudan and Gabor Fichtinger and Michael Reedijk and Sonal Varma and David M. Berman} } @conference {Connolly2021, title = {An open-source platform for cooperative semi-autonomous robotic surgery}, booktitle = {IEEE International Conference on Autonomous Systems}, year = {2021}, month = {10/2021}, publisher = {IEEE}, organization = {IEEE}, address = {Montreal, Quebec}, doi = {https://doi.org/10.1109/ICAS49788.2021.9551149}, author = {Laura Connolly and Anton Degeut and Kyle R. Sunderland and Andras Lasso and Tamas Ungi and John Rudan and Russell H. Taylor and Parvin Mousavi and Gabor Fichtinger} } @article {Connolly2021b, title = {A platform for robot-assisted Intraoperative imaging in breast conserving surgery}, year = {2021}, month = {2021}, publisher = {Imaging Network of Ontario Symposium}, address = {Online}, author = {Laura Connolly and Kyle R. Sunderland and Andras Lasso and Anton Degeut and Tamas Ungi and John Rudan and Russell H. Taylor and Parvin Mousavi and Gabor Fichtinger} } @conference {Connolly2020a, title = {Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study}, booktitle = {Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions and Modeling}, volume = {11315}, year = {2020}, month = {2020}, publisher = {SPIE}, organization = {SPIE}, address = {Houston, Texas, United States}, doi = {https://doi.org/10.1117/12.2549343}, author = {Laura Connolly and Amoon Jamzad and Martin Kaufmann and Rachel Rubino and Alireza Sedghi and Tamas Ungi and Mark Asselin and Scott Yam and John Rudan and Christopher Nicol and Gabor Fichtinger and Parvin Mousavi} } @article {Gauvin2019, title = {Real-time electromagnetic navigation for breast-conserving surgery using NaviKnife technology: A matched case-control study}, journal = {The Breast Journal}, volume = {26}, number = {3}, year = {2020}, month = {09/2019}, pages = {399-405}, doi = {10.1111/tbj.13480}, author = {Gabrielle Gauvin and Yeo, Caitlin T and Tamas Ungi and Shaila Merchant and Andras Lasso and Doris Jabs and Thomas Vaughan and John Rudan and Ross Walker and Gabor Fichtinger and C. Jay Engel} } @article {House2019a, title = {Monitoring volume changes for breast reconstruction surgery using three dimensional optical surface scanning}, year = {2019}, address = {St. Johns, Newfoundland}, author = {Rachael House and M. Kunz and Chantal Valiquette and Andras Lasso and Tamas Ungi and John Rudan and Glykeria Martou and Gabor Fichtinger} } @conference {Asselin2019a, title = {Navigated real-time molecular analysis in the operating theatre, demonstration of concept}, booktitle = {SPIE Medical Imaging 2019}, year = {2019}, abstract = {

PURPOSE: In the operating theatre surgeons are accustomed to using spatially navigated tools in conjunction with
standard clinical imaging during a procedure. This gives them a good idea where they are in the patients{\textquoteright} anatomy but
doesn{\textquoteright}t provide information about the type of tissue they are dissecting. In this paper we demonstrate an integrated
system consisting of a spatially navigated surgical electrocautery combined with real-time molecular analysis of the
dissected tissue using mass spectrometry.
METHODS: Using the 3D Slicer software package, we have integrated a commercially available neurosurgical
navigation system with an intra-operative mass spectrometer (colloquially referred to as the intelligent knife, or iKnife)
that analyzes the charged ions in the smoke created during cauterization. We demonstrate this system using a simulated
patient comprised of an MRI scan from a brain cancer patient deformably registered to a plastic skull model. On the
skull model we placed porcine and bovine tissues to simulate cancerous and healthy tissue, respectively. We built a
PCA/LDA model to distinguish between these tissue types. The tissue classifications were displayed in a spatially
localized manner in the pre-operative imaging, in both 2D and 3D views.
RESULTS: We have demonstrated the feasibility of performing spatially navigated intra-operative analysis of tissues by
mass spectrometry. We show that machine learning can classify our sample tissues, with an average computed
confidence of 99.37 \% for porcine tissue and 99.36\% for bovine tissue.
CONCLUSION: In this paper we demonstrate a proof of concept system for navigated intra-operative molecular
analysis. This system may enable intra-operative awareness of spatially localized tissue classification during dissection,
information that is especially useful in tumor surgeries where margins may not be visible to the unassisted eye.
Keywords: image guided therapy, intra-operative mass spectrometry, iKnife, 3D Slicer, open-source, rapid evaporative
ionization mass spectrometry (REIMS)

}, author = {Mark Asselin and Martin Kaufmann and Julia Wiercigroch and Tamas Ungi and Andras Lasso and John Rudan and Gabor Fichtinger} } @article {House2018b, title = {Breast volume computation for planning and monitoring fat grafting}, year = {2018}, author = {Rachael House and Andras Lasso and M. Kunz and John Rudan and Glykeria Martou and Gabor Fichtinger} } @article {House2018a, title = {Breast volume measurement using three-dimensional surface scan for fat grafting planning and monitoring}, year = {2018}, author = {Rachael House and Andras Lasso and M. Kunz and John Rudan and Glykeria Martou and Gabor Fichtinger} } @article {Yan2017b, title = {Quantification of tumor localization needle displacement prior to tumor excision in navigated lumpectomy}, year = {2017}, author = {Christina Yan and Tamas Ungi and Gabrielle Gauvin and Doris Jabs and Andras Lasso and C. Jay Engel and John Rudan and Gabor Fichtinger} } @conference {Yan2017a, title = {Study into the displacement of tumor localization needle during navigated breast cancer surgery}, booktitle = {SPIE Medical Imaging}, year = {2017}, publisher = {SPIE}, organization = {SPIE}, address = {Orlando, Florida, USA}, author = {Christina Yan and Tamas Ungi and Gabrielle Gauvin and Doris Jabs and Andras Lasso and C. Jay Engel and John Rudan and Gabor Fichtinger} } @article {Vaughan2017a, title = {Virtual views controlled by surgical tools for computer assisted interventions}, year = {2017}, author = {Thomas Vaughan and Tamas Ungi and Andras Lasso and Gabrielle Gauvin and C. Jay Engel and John Rudan and Gabor Fichtinger} } @conference {Heffernan2016, title = {Accuracy of lesion boundary tracking in navigated breast tumor excision}, booktitle = {SPIE Medical Imaging 2016}, volume = {9786}, year = {2016}, month = {03/2016}, pages = {97860Y-1-6}, address = {San Diego, CA, USA}, doi = {10.1117/12.2217017}, url = {http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2505913\&resultClick=1}, author = {Emily Heffernan and Tamas Ungi and Thomas Vaughan and Padina Pezeshki and Andras Lasso and Gabrielle Gauvin and John Rudan and C. Jay Engel and Evelyn Morin and Gabor Fichtinger} } @article {Gauvin2016a, title = {Breast-Conserving Surgery using NaviKnife Technology: Pilot Study on Non-Palpable Tumors}, year = {2016}, month = {08/2016}, author = {Gabrielle Gauvin and Tamas Ungi and Andras Lasso and Yeo, Caitlin T and Gabor Fichtinger and Doris Jabs and Ross Walker and Shaila Merchant and John Rudan and C. Jay Engel} } @conference {Ungi2016c, title = {Intraoperative user interface for navigated breast tumor surgery}, booktitle = {Computer Assisted Radiology and Surgery, 30th International Congress}, volume = {11}, year = {2016}, month = {05/2016}, pages = {S108-9}, publisher = {Springer}, organization = {Springer}, address = {Heidelberg, Germany}, doi = {10.1007/s11548-016-1412-5}, author = {Tamas Ungi and Thomas Vaughan and Gabrielle Gauvin and Padina Pezeshki and Andras Lasso and C. Jay Engel and John Rudan and Gabor Fichtinger} } @conference {Harish2016a, title = {Measurement of electromagnetic tracking error in a navigated breast surgery setup}, booktitle = {SPIE Medical Imaging 2016}, volume = {9786}, year = {2016}, publisher = {SPIE Medical Imaging}, organization = {SPIE Medical Imaging}, address = {San Diego, CA, United States, Feb. 29, 2016}, abstract = {

The measurement of tracking error is crucial to ensure the safety and feasibility of electromagnetically tracked, image-guided procedures. Measurement should occur in a clinical environment because electromagnetic field distortion depends on positioning relative to the field generator and metal objects. However, we could not find an accessible and open-source system for calibration, error measurement, and visualization. We developed such a system and tested it in a navigated breast surgery setup.A pointer tool was designed for concurrent electromagnetic and optical tracking. Software modules were developed for automatic calibration of the measurement system, real-time error visualization, and analysis. The system was taken to an operating room to test for field distortion in a navigated breast surgery setup. Positional and rotational electromagnetic tracking errors were then calculated using optical tracking as a ground truth. Our system is quick to set up and can be rapidly deployed. The process from calibration to visualization also only takes a few minutes. Field distortion was measured in the presence of various surgical equipment. Positional and rotational error in a clean field was approximately 0.90 mm and 0.31{\textdegree}. The presence of a surgical table, an electrosurgical cautery, and anesthesia machine increased the error by up to a few tenths of a millimetre and tenth of a degree.In a navigated breast surgery setup, measurement and visualization of tracking error defines a safe working area in the presence of surgical equipment. Our system is available as an extension for the open-source 3D Slicer platform.

}, author = {Vinyas Harish and A Baksh and Tamas Ungi and Andras Lasso and Zachary M C Baum and G Gauvin and C. Jay Engel and John Rudan and Gabor Fichtinger} } @article {Harish2016c, title = {Monitoring electromagnetic tracking error in computer-navigated breast cancer surgery}, year = {2016}, publisher = {Imaging Network Ontario (ImNO)}, address = {Toronto, Canada}, keywords = {Breast cancer, EM Tracking, Lumpectomy}, author = {Vinyas Harish and A Baksh and Tamas Ungi and Andras Lasso and Zachary M C Baum and G Gauvin and C. Jay Engel and John Rudan and Gabor Fichtinger} } @conference {Gauvin2016a, title = {Safety and Feasibility Study for Real-Time Electromagnetic Navigation in Breast-Conserving Surgery}, booktitle = {Computer Assisted Radiology and Surgery, 30th International Congress}, volume = {11}, year = {2016}, month = {05/2016}, pages = {S106-7}, publisher = {Springer}, organization = {Springer}, address = {Heidelberg, Germany}, doi = {10.1007/s11548-016-1412-5}, author = {Gabrielle Gauvin and Tamas Ungi and Andras Lasso and Ross Walker and John Rudan and Gabor Fichtinger and C. Jay Engel} } @conference {Carter2016a, title = {Visual feedback mounted on surgical tool: proof of concept}, booktitle = {SPIE Medical Imaging 2016}, volume = {9786}, year = {2016}, month = {In Press}, address = {San Diego, CA, USA}, author = {Kaci Carter and Thomas Vaughan and M. Holden and Gabrielle Gauvin and Padina Pezeshki and Andras Lasso and Tamas Ungi and Evelyn Morin and John Rudan and C. Jay Engel and Gabor Fichtinger} } @article {Ungi2015c, title = {Clinical Translation of Real Time Cautery Navigation for Breast Surgery}, year = {2015}, month = {06/2015}, pages = {19-20}, isbn = {978-0-9563776-6-1}, author = {Tamas Ungi and Gabrielle Gauvin and Andras Lasso and Yeo, Caitlin T and John Rudan and C. Jay Engel and Gabor Fichtinger} } @article {Ungi2015b, title = {Navigated breast tumor excision using electromagnetically tracked ultrasound and surgical instruments}, journal = {IEEE Transactions on Biomedical Engineering}, year = {2015}, month = {08/2015 }, abstract = {

OBJECTIVE:

Lumpectomy, breast conserving tumor excision, is the standard surgical treatment in early stage breast cancer. A common problem with lumpectomy is that the tumor may not be completely excised, and additional surgery becomes necessary. We investigated if a surgical navigation system using intraoperative ultrasound improves the outcomes of lumpectomy, and if such a system can be implemented in the clinical environment.

METHODS:

Position sensors were applied on the tumor localization needle, the ultrasound probe, and the cautery, and three-dimensional navigation views were generated using real time tracking information. The system was tested against standard wire-localization procedures on phantom breast models by eight surgical residents. Clinical safety and feasibility was tested in six palpable tumor patients undergoing lumpectomy by two experienced surgical oncologists.

RESULTS:

Navigation resulted in significantly less tissue excised compared to control procedures (10.3 {\textpm} 4.4 vs. 18.6 {\textpm} 8.7 g, p = 0.01) and lower number of tumorpositive margins (1/8 vs. 4/8) in the phantom experiments. Excision-tumor distance was also more consistently outside the tumor margins with navigation in phantoms. The navigation system has been successfully integrated in an operating room, and user experience was rated positively by surgical oncologists.

CONCLUSION:

Electromagnetic navigation may improve the outcomes of lumpectomy by making the tumor excision more accurate.

SIGNIFICANCE:

Breast cancer is the most common cancer in women, and lumpectomy is its first choice treatment. Therefore, improvement of lumpectomy outcomes have a significant impact on a large patient population.

}, issn = {0018-9294}, doi = {10.1109/TBME.2015.2466591}, url = {http://www.ncbi.nlm.nih.gov/pubmed/26302503}, author = {Tamas Ungi and Gabrielle Gauvin and Andras Lasso and Yeo, Caitlin T and Padina Pezeshki and Thomas Vaughan and Kaci Carter and John Rudan and C. Jay Engel and Gabor Fichtinger} } @conference {Ungi2015a, title = {Real Time Navigation In Breast Tumor Surgery}, booktitle = {Computer Assisted Radiology and Surgery, 29th International Congress}, volume = {10}, year = {2015}, month = {06/2015}, pages = {S59-60}, doi = {10.1007/s11548-015-1213-2}, author = {Tamas Ungi and Gabrielle Gauvin and Yeo, Caitlin T and C. Jay Engel and John Rudan and Gabor Fichtinger} } @conference {Anand2014b, title = {Design and Development of a Mobile Image Overlay System for Image-Guided Needle Interventions}, booktitle = {36th Annual International Conference of IEEE EMBS}, year = {2014}, month = {Accepted}, publisher = {IEEE EMBS}, organization = {IEEE EMBS}, address = {Chicago, IL, USA}, author = {Manjunath Anand and Franklin King and Tamas Ungi and Andras Lasso and John Rudan and Jagadeesan Jayender and Jan Fritz and John A Carrino and Ferenc Jolesz and Gabor Fichtinger} } @article {Anand2014a, title = {Design of mobile image overlay system for image-guided interventions}, year = {2014}, month = {03/2014}, publisher = {ImNO}, address = {Toronto, Canada. March 24-25}, author = {Manjunath Anand and Franklin King and Tamas Ungi and Andras Lasso and John Rudan and Jagadeesan Jayender and Jan Fritz and Ferenc Jolesz and John A Carrino and Gabor Fichtinger} } @article {Gauvin2014b, title = {Real-time electromagnetic navigation for breast tumor resection: proof of concept}, year = {2014}, month = {06/2014}, address = {Kingston, ON, Canada}, author = {Gabrielle Gauvin and Yeo, Caitlin T and Tamas Ungi and Gabor Fichtinger and John Rudan and C. Jay Engel} } @article {Gauvin2014c, title = {Real-Time Electromagnetic Navigation for Breast Tumor Resection: Proof of Concept}, year = {2014}, month = {09/2014}, address = {Vancouver, BC, Canada}, author = {Gabrielle Gauvin and Yeo, Caitlin T and Tamas Ungi and C. Jay Engel and Gabor Fichtinger and John Rudan} } @conference {Gauvin2014d, title = {Real-time electromagnetic navigation for breast tumor resection: proof of concept}, booktitle = {The Hamlyn Symposium on Medical Robotics}, year = {2014}, month = {07/2014}, pages = {39-40}, address = {London, UK}, author = {Gabrielle Gauvin and Yeo, Caitlin T and Tamas Ungi and Gabor Fichtinger and John Rudan and C. Jay Engel} } @article {Gauvin2014a, title = {Real-time EM navigated breast conserving surgery: phantom and cadaver experiments}, year = {2014}, month = {09/2014}, address = {Cambridge, MA, USA}, author = {Gabrielle Gauvin and Yeo, Caitlin T and Tamas Ungi and Gabor Fichtinger and Nanji, Sulaiman and John Rudan and C. Jay Engel} } @article {Ungi2014a, title = {Spinal curvature measurement by tracked ultrasound snapshots}, journal = {Ultrasound in Medicine and Biology}, volume = {40}, year = {2014}, month = {02/2014}, pages = {447-54}, author = {Tamas Ungi and Franklin King and Michael Kempston and Keri, Zsuzsanna and Andras Lasso and Parvin Mousavi and John Rudan and Daniel P. Borschneck and Gabor Fichtinger} }