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Cristian A. Linte

Cristian A. Linte
Assistant Professor

Phone: 858-475-4926
Office: INS/3111

Dr. Cristian A. Linte completed a BASc in Mechanical and Materials Engineering at the University of Windsor in Windsor, Ontario, Canada in 2004, followed by a MESc and PhD in Biomedical Engineering from the University of Western Ontario in London, Ontario, Canada in 2006 and 2010, respectively. In 2011, Dr. Linte joined the Biomedical Imaging Resource at Mayo Clinic in Rochester MN – a group with a long standing tradition in the development of medical image analysis and image-guided intervention technology – for a post-doctoral fellowship, which transitioned to an academic appointment as Assistant Professor of Biomedical Engineering in 2012.

During his undergraduate degree, Dr. Linte was the recipient of a 4-year Faculty of Engineering Dean’s Scholarship, as well as two undergraduate research awards from the National Sciences and Engineering Research Council (NSERC) of Canada. During his graduate and post-doctoral career, Dr. Linte has secured over $450,000 in federal funding from NSERC, Canadian Institutes of Health Research, Heart & Stroke Foundation of Canada, and the international Society of Optical Engineers and he has served as co-investigator on a National Institutes of Health grant with Mayo Clinic, aimed at the development of image guidance and modeling technologies for minimally invasive catheter-guided ablation therapy for atrial fibrillation treatment.

Dr. Linte’s research interests have focused on exploring the use of medical imaging to generate new paradigms for image-guided visualization and navigation for minimally invasive therapy. Thanks to the advances in medical image acquisition, visualization and display, surgical tacking and image computing infrastructure, a wide variety of technology has emerged that facilitates diagnosis, procedure planning, intra-operative guidance and treatment monitoring while providing safer and less invasive approaches for therapy delivery. Cardiac interventions have been among the last disciplines to benefit from minimally invasive treatment techniques, mainly due to the challenges associated with access and visualization inside the beating heart. As such, Dr. Linte’s research endeavors have employed both technologies (image acquisition, surgical tracking, visualization and display) and techniques (image analysis, modeling, evaluation and validation) toward the development, evaluation and pre-clinical integration of image guidance environments for surgical navigation of minimally invasive cardiac interventions.

Dr. Linte has disseminated his research in over 50 peer-review journal articles and conference proceedings and has been recognized with several awards at international conferences. He has organized several international conferences and workshops on image-guided interventions and has edited three volumes published in Springer’s Lecture Notes in Computer Science book series. Dr. Linte has also been a member of several national and international societies and scientific organizations and has served on the scientific review boards of numerous journals and conferences. Moreover, he also been an active member of the IEEE Engineering in Medicine and Biology Society, and served as Student Representative on the EMBS Administration Committee, as well as Southern MN EMBS Chapter Chair, and EMBS Education Chair. In 2011, Dr.Linte was recognized with the IEEE MGA GOLD Achievement Award for his leadership and contribution to IEEE and EMBS.

For more about Dr. Linte, see his personal website.

Selected Publications

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
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