Cristian A. Linte

Assistant Professor

biography

Cristian A. Linte holds an academic appointment as Assistant Professor in Biomedical Engineering and Center for Imaging Science at Rochester Institute of Technology in Rochester NY. Dr. Linte received his PhD in Biomedical Engineering at the University of Western Ontario and the Robarts Research Institute. His research focused on the development, evaluation and pre-clinical integration of image guidance techniques for surgical navigation of minimally invasive cardiac interventions. Following his doctoral studies, Cristian spent two years at Mayo Clinic in Rochester, MN at the Biomedical Imaging Resource as a research fellow sponsored by an early career investigator fellowship from the Natural Sciences and Engineering Research Council and the Heart & Stroke Foundation of Canada to investigate novel paradigms for visualization and surgical navigation for minimally invasive therapy.

 

Area of Interest

1)Exploring the use of medical imaging to generate new paradigms for image-guided visualization and navigation for minimally invasive therapy
2)Image acquisition, surgical tracking, visualization and Display
3)Image analysis, modeling, evaluation and validation
4)Biomedical Modeling, Visualization and Image-guided Navigation


top publication

1. Messier E, Wilcox J, Dawson-Elli A, Diaz G and Linte CA. An Interactive 3D Virtual Anatomy Puzzle for Learning and Simulation: Initial Demonstration and Evaluation. Stud Health Technol Inform. Vol. 220. Pp: 233-40. 2016.

2. Linte CA. Virtual and augmented medical imaging environments: Applications to simulation, training, surgical planning and interventional guidance. InComputational Vision and Medical Image Processing V: Invited Paper - 5th ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE). Pp.: 33-38. 2016.

3. Dangi S, Ben-Zikri, YK, Lamash Y, Schwarz KQ and Linte CA. Automatic LV Feature Detection and Blood-pool Tracking from Multi-plane TEE Time Series. Functional Imaging and Modeling of the Heart. Lect Notes Comput Sci. Vol. 9126. Pp. 29-39. 2015.

4. Camp JJ, Holmes DR, Robb RA and Linte CA. Tissue damage characterization, lesion assessment and visualization for image-guided cardiac ablation. Int J Comput Assist Radiol Surg. Vol. 9. Pp. S93-101. 2014.

5. Linte CA, Camp JJ, Augustine K, Holmes III DR and Robb RA. Virtual platform for spine surgery planning: Initial assessment and clinical experience.Journal of Computer Methods Biomech Biomed Engin: Imaging & Visualization. (In Press: 2015)

6. Linte CA and Yaniv Z. When change happens: Computer assistance and image guidance for minimally invasive therapy. Healthcare technology Letters. Vol. 1 (1); pp. 2-5. 2014.

7. Sun D, Rettmann ME, Holmes III DR, Linte CA, Cameron B, Lui J, Packer D and Robb RA. Anatomic surface reconstruction from samples point cloud data and prior models. Stud Health Technol Inform. Vol. 196. P.: 387-93. 2014.

8. **Linte CA, Camp JJ, Holmes III DR and Robb RA. Online modeling for lesion visualization and monitoring for cardiac ablation therapy. Med Image Comput Computer Assist Interv. Mori K. et al. (Eds.), Lect Notes Comput Sci. Vol. 8149. Pp. 9-17. 2013.

9. Linte CA, Davenport KP, Cleary K, Peters C, Vosburgh KG, Navab N, Edwards, PJ, Jannin P, Peters TM, Holmes III DR and Robb RA. On mixed reality environments for minimally invasive therapy guidance: Systems architecture, successes and challenges in their implementation from laboratory to clinic. Comput Med Imaging Graph.Vol. 37(2). Pp. 83-97. 2013.

10. Linte CA, Camp JJ, Holmes DR III, Rettmann ME, Packer DL and Robb RA. Toward modeling of radio-frequency ablation lesions for image-guided left atrial fibrillation therapy: Model formulation and preliminary evaluation. Stud Health Technol Inform. Vol. 184. Pp. 261-7. 2013.

11. Cho DS, Linte CA, Chen ECS, Bainbridge D, Wedlake C, Moore J, Barron J, Patel R and Peters TM. Predicting target vessel location in robot-assisted CABD interventions using feature-based CT to US registration. Medical Physics. Vol. 39(3). Pp. 1579-87. 2012.

12. Linte CA, Davenport KP, Cleary K, Peters C, Vosburgh KG, Edwards P, Jannin P, Peters TM, Holmes Iii DR, Robb RA. Augmented environments for minimally invasive therapy: implementation barriers from technology to practice.Stud Health Technol Infor. Vol. 173. Pp. 263-9. 2012.

13. Linte CA, Lang P, Rettmann ME, Cho DS, Holmes III DR, Peters TM and Robb RA. Accuracy considerations in image-guided cardiac interventions: Experience and lessons learned. Journal of Computer Assisted Radiology and Surgery. Vol. 7. Pp. 13-25. 2012.

14. Linte CA, Cho DS, Wedlake C, Moore J, Chen E, Bainbridge D, Patel RV, Peters TM and Kiaii B. Investigating peri-operative heart migration during robot-assisted coronary artery bypass grafting interventions. Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery. Vol. 6. Pp. 323-330. 2011.

15. Linte CA, White J, Eagleson R, Guiraudon GM and Peters TM. Virtual and augmented medical imaging environments: Enabling technology for minimally invasive cardiac interventional guidance. IEEE Reviews Biomed Engin. Vol. 3. Pp. 25-47. 2010.

16. Guiraudon GM, Jones DL, Bainbridge D, Linte CA, Pace D, Moore J, Wedlake C, Lang P and Peters TM. Augmented reality image guidance during off-pump mitral valve replacement through the Guiraudon Universal Cardiac Introducer®. Ann Surg. Vol. 5(6). 430-8. 2010.

17. **Cho DS, Linte CA, Chen E, Wedlake C, Moore J, Barron J, Patel R and Peters TM. Predicting target vessel location for improved planning of robot-assisted CABG procedures. Medical Image Computing and Computer Assisted Interventions. Jiang T. et al. (Eds.). Lect Notes Comput Sci. Vol. 6363. Pp. 205-12. 2010.

18. Linte CA, Moore J, Wedlake C and Peters TM. Evaluation of model-enhanced ultrasound-assisted surgical guidance in a cardiac phantom. IEEE Trans Biomed Eng. Vol. 57. Pp. 2209-18. 2010.

19. Guiraudon GM, Jones DL, Bainbridge D, Moore JT, Wedlake C, Linte CA, Wiles A and Peters TM. Off-pump atrial septal defect closure using the Universal Cardiac Introducer ®: Creation of models of atrial septal defects in the pig – access and surgical technique. Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery. Vol. 4(1). Pp. 20-6. 2009.

20. **Linte CA, Moore J, Wiles AD, Wedlake C and Peters TM. Targeting accuracy under model-to-subject misalignments in model-guided cardiac surgery. Medical Image Computing and Computer-Assisted Interventions. Yang G. Z. et al. (Eds.). Lect Notes Comput Sci. Vol. 5761. Pp. 361-8. 2009.

21. Linte CA, Moore, J, Wedlake C, Bainbridge D, Guiraudon GM, Jones DL and Peters TM. Inside the beating heart:An in vivo feasibility study on fusing pre- and intra-operative imaging for minimally invasive therapy. Journal of Computer Assisted Radiology and Surgery. Vol. 4(2). Pp. 113-23. 2009.

22. **Linte CA, Wiles AD, Moore JT, Wedlake C and Peters TM. Virtual reality-enhanced ultrasound guidance for atrial ablation: In vitro epicardial study. Medical Image Computing and Computer-Assisted Interventions. Metaxas D. et al. (Eds.). Lect Notes Comput Sci. Vol. 5242. Pp. 644-51, 2008.

23. **Wilson K, Guiraudon GM, Jones DL, Linte CA, Wedlake C, Moore J and Peters TM. Dynamic cardiac mapping on patient-specific cardiac models. Medical Image Computing and Computer-Assisted Interventions. Metaxas D. et al. (Eds.). Lect Notes Comput Sci. Vol. 5241. Pp. 967–974, 2008.

24. Linte CA, Moore J, Wiles, AD, Wedlake, C. and Peters TM.Virtual reality-enhanced ultrasound guidance: A novel technique for intracardiac interventions.Comput Aided Surg. Vol. 13(2). Pp. 82-94. 2008.

25. Linte CA, Wierzbicki M, Peters TM and Samani A. Towards a biomechanics-based technique for assessing myocardial contractility: An inverse problem approach. Journal of Comput Methods in Biomech Biomed Engin. Vol. 11(3). Pp. 243-55. 2008.

26. **Linte CA, Wierzbicki M, Moore J, Guiraudon GM, Little SH and Peters TM. Towards subject-specific models of the dynamic heart for image-guided mitral valve surgery. Medical Image Computing and Computer-Assisted Interventions. Ayache N. et al. (Eds). Lect Notes Comput Sci. Vol. 4792. Pp. 94-101. 2007.