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Journal Article

Tokuda, J., Song S. Sang- Eun, Fischer G., Iordachita I., Seifabadi R., Cho N. Bongjoon, et al. (2012). Preclinical evaluation of an MRI-compatible pneumatic robot for angulated needle placement in transperineal prostate interventions. International Journal of Computer Assisted Radiology and Surgery (IJCARS).

CARS2012_BRP_Tokuda_full.pdf (1.08 MB)

Chowning, S., Susil R., Krieger A., Fichtinger G., Whitcomb L. L., & Atalar E. (2006). A preliminary analysis and model of prostate injection distributions. The Prostate. 66, 344–357.

Chowning2006.pdf (683.56 KB)

Fedorov, A., Beichel R., Kalpathy-Cramer J., Clunie D., Onken M., Riesmeier J., et al. (2020). Quantitative Imaging Informatics for Cancer Research. JCO Clinical Cancer Informatics. 4, 444-453..

Fedorov2020.pdf (840.27 KB)

DiMaio, S., Pieper S., Chinzei K., Hata N., Haker S., Kacher D., et al. (2007). Robot-assisted needle placement in open MRI: system architecture, integration and validation. Journal of Computer Aided Surgery. 12, 15–24.

DiMaio2007a.pdf (372.98 KB)

DiMaio, S., Pieper S., Chinzei K., Hata N., Balogh E., Fichtinger G., et al. (2006). Robot-assisted needle placement in open-MRI: system architecture, integration and validation. Studies in health technology and informatics. 119, 126–131.

DiMaio2006b.pdf (495.47 KB)

Boctor, E., Fichtinger G., Yeung A., Awad M., Taylor R., & Choti M. (2004). Robotic Strain Imaging for Monitoring Thermal Ablation of Liver Tumors. Proceedings in Lecture Notes in Computer Science. 3217, 81-88.

Boctor2004b.pdf (1.19 MB)

Seifabadi, R., Song S. Sang- Eun, Krieger A., Cho N. Bongjoon, Tokuda J., Fichtinger G., et al. (2011). Robotic System for MRI-guided Prostate Biopsy: Feasibility of Teleoperated Needle Insertion and ex vivo Phantom Study. International Journal of Computer Aided Radiology and Surgery (IJCARS).

Seifabadi2011a.pdf (830.16 KB)

Chang, J., Wen B., Kazanzides P., Zanzonico P., Finn R. D., Fichtinger G., et al. (2009). A robotic system for [sup 18]F-FMISO PET-guided intratumoral pO[sub 2] measurements. Medical Physics. 36, 5301-5309.

Chang2009.pdf (717.56 KB)

Singh, A. K., Guion P., Sears-Crouse N., Ullman K., Smith S., Albert P., et al. (2007). Simultaneous integrated boost of biopsy proven and MRI defined dominant intra-prostatic lesions to 95 Gray with IMRT: early results of a phase I NCI study. Radiation Oncology. 2, 36.

Singh2007b.pdf (482.13 KB)

Pinter, C., Lasso A., Choueib S., Asselin M., Fillion-Robin J-C., Vimort J-B., et al. (2020). SlicerVR for Medical Intervention Training and Planning in Immersive Virtual Reality. IEEE Transactions on Medical Robotics and Bionics. 2, 108-117.

Pinter2020.pdf (521.6 KB)

Tokuda, J., Fischer G., Csoma C., DiMaio S., Gobbi D., Fichtinger G., et al. (2008). Software strategy for robotic transperineal prostate therapy in closed-bore MRI. Medical image computing and computer-assisted intervention (MICCAI). 11, 701–709.

Tokuda2008.pdf (3.22 MB)

Hisey, R., Camire D., Erb J., Howes D., Fichtinger G., & Ungi T. (2021). System for central venous catheterization training using computer vision-based workflow feedback. IEEE Transactions on Biomedical Engineering.

Jain, A. K., Zhou Y., Kennedy C., Mustufa T., E. Burdette C., Chirikjian G., et al. (2005). Towards Intra-Operative Dosimetry in Prostate Brachytherapy. Journal of Medical Physics. 32, 2159-2159.

Jain2005c.pdf (4.07 MB)

Susil, R., Menard C., Krieger A., Coleman J., Camphausen K., Choyke P., et al. (2006). Transrectal prostate biopsy and fiducial marker placement in a standard 1 5T magnetic resonance imaging scanner. The Journal of Urology. 175, 113–120.

Susil2006.pdf (942.99 KB)

Susil, R., Menard C., Krieger A., Coleman J., Camphausen K., Choyke P., et al. (2006). Transrectal prostate biopsy and fiducial marker placement in a standard 1 5T magnetic resonance imaging scanner. The Journal of Urology. 175, 113–120.

Susil2006.pdf (942.99 KB)

Susil, R., Menard C., Krieger A., Coleman J., Camphausen K., Choyke P., et al. (2006). Transrectal prostate biopsy and fiducial marker placement in a standard 1 5T magnetic resonance imaging scanner. The Journal of Urology. 175, 113–120.

Susil2006.pdf (942.99 KB)

Susil, R., Menard C., Krieger A., Coleman J., Camphausen K., Choyke P., et al. (2006). Transrectal prostate biopsy and fiducial marker placement in a standard 1 5T magnetic resonance imaging scanner. The Journal of Urology. 175, 113–120.

Susil2006.pdf (942.99 KB)

Kettenbach, J., Kronreif G., Melzer A., Fichtinger G., Stoianovici D., & Cleary K. (2008). Ultrasound-, CT-, MR-Guided Robot-Assisted Interventions. Image Processing in Radiology. 3, 393-409.

Boctor, E., de Oliveira M., Choti M., Ghanem R., Taylor R., Hager G. D., et al. (2006). Ultrasound monitoring of tissue ablation via deformation model and shape priors. Medical image computing and computer-assisted intervention (MICCAI). 9, 405–412.

Boctor2006b.pdf (6.61 MB)

Fooladgar, F., Jamzad A., Connolly L., Santilli A., Kaufmann M., Ren K., et al. (2022). Uncertainty estimation for margin detection in cancer surgery using mass spectrometry. International Journal of Computer Assisted Radiology and Surgery.

Lobo, J. R., Moradi M., Chng N., Dehghan E., Morris W. J., Fichtinger G., et al. (2012). Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy. IEEE Transactions on Medical Imaging. 31, 738 - 748.

Fischer, G., Dyer E., Csoma C., Deguet A., & Fichtinger G. (2007). Validation system of MR image overlay and other needle insertion techniques. Studies in health technology and informatics. 125, 130–135.

Fischer2007a.pdf (404.46 KB)

Balogh, E., Deguet A., Susil R., Krieger A., Viswanathan A., Menard C., et al. (2004). Visualization, Planning, and Monitoring Software for MRI-Guided Prostate Intervention Robot. Proceedings Lecture Notes in Computer Science Medical Image Computing and Computer-Assisted Intervention (MICCAI). 3217, 73-80.

Balogh2004.pdf (707.08 KB)

Patent

Fichtinger, G., Jain A., Mustufa T., Wyrobek K., Chirikjian G., Zhou Y., et al. (2003). Image Registration of multiple medical imaging modalities using a multiple degree-of-freedom-encoded fiducial.

Thesis

Church, B. (2018). Scoliosis visualization using ultrasound data. School of Computing. MSc,

Church_Benjamin_D_201804_MSc.pdf (4.12 MB)

Pages