Photo of Ron Kikinis, MD

Ron Kikinis, MD

Brigham And Women's Hospital

Brigham And Women's Hospital
Phone: (617) 732-7389


kikinis@bwh.harvard.edu

Photo of Ron Kikinis, MD

Brigham And Women's Hospital
Phone: (617) 732-7389


kikinis@bwh.harvard.edu

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Ron Kikinis, MD

Brigham And Women's Hospital

EDUCATIONAL TITLES

  • B. Leonard Holman Professor, Radiology, Harvard Medical School

DF/HCC PROGRAM AFFILIATION

Research Abstract

Dr. Ron Kikinis received his M.D. degree from the University of Zurich, Switzerland, in 1982. He trained as a resident in radiology at the University Hospital in Zurich, and as a researcher in computer vision at the ETH in Zurich, Switzerland. In 1988, he moved to Brigham & Women's Hospital, and in 1990, founded the Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA. In 2004, he was appointed Professor of Radiology at Harvard Medical School, and in 2010, was appointed the Robert Greenes Distinguished Director of Biomedical Informatics, Department of Radiology, Brigham and Women's Hospital. From January 2014 through February 2020, he took on a part-time position in Germany as "Institutsleiter" of Fraunhofer MEVIS and Professor of Medical Image Computing at the University of Bremen, while continuing his activities in the U.S. On March 1, 2020, he returned to Boston full time and was appointed the B. Leonard Holman Professor of Radiology, Harvard Medical School, and Vice-Chair for Biomedical Informatics Research, Department of Radiology, Brigham and Women’s Hospital.

For complete information, please go to the following url:

spl.harvard.edu/people/ron-kikinis

Publications from Harvard Catalyst Profiles

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  • Zheng J, Yang Q, Makris N, Huang K, Liang J, Ye C, Yu X, Tian M, Ma T, Mou T, Guo W, Kikinis R, Gao Y. Three-Dimensional Digital Reconstruction of the Cerebellar Cortex: Lobule Thickness, Surface Area Measurements, and Layer Architecture. Cerebellum 2022. PubMed
  • Yu Y, Safdar S, Bourantas G, Zwick B, Joldes G, Kapur T, Frisken S, Kikinis R, Nabavi A, Golby A, Wittek A, Miller K. Automatic framework for patient-specific modelling of tumour resection-induced brain shift. 2022; 143:105271. PubMed
  • Maier-Hein L, Eisenmann M, Sarikaya D, März K, Collins T, Malpani A, Fallert J, Feussner H, Giannarou S, Mascagni P, Nakawala H, Park A, Pugh C, Stoyanov D, Vedula SS, Cleary K, Fichtinger G, Forestier G, Gibaud B, Grantcharov T, Hashizume M, Heckmann-Nötzel D, Kenngott HG, Kikinis R, Mündermann L, Navab N, Onogur S, Roß T, Sznitman R, Taylor RH, Tizabi MD, Wagner M, Hager GD, Neumuth T, Padoy N, Collins J, Gockel I, Goedeke J, Hashimoto DA, Joyeux L, Lam K, Leff DR, Madani A, Marcus HJ, Meireles O, Seitel A, Teber D, Ückert F, Müller-Stich BP, Jannin P, Speidel S. Surgical data science - from concepts toward clinical translation. Med Image Anal 2022; 76:102306. PubMed
  • Fichtinger G, Mousavi P, Ungi T, Fenster A, Abolmaesumi P, Kronreif G, Ruiz-Alzola J, Ndoye A, Diao B, Kikinis R. Design of an Ultrasound-Navigated Prostate Cancer Biopsy System for Nationwide Implementation in Senegal. J Imaging 2021. PubMed
  • Hsu TH, Schawkat K, Berkowitz SJ, Wei JL, Makoyeva A, Legare K, DeCicco C, Paez SN, Wu JSH, Szolovits P, Kikinis R, Moser AJ, Goehler A. Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer- A recipe for your local application. Eur J Radiol 2021; 142:109834. PubMed
  • Fedorov A, Longabaugh WJR, Pot D, Clunie DA, Pieper S, Aerts HJWL, Homeyer A, Lewis R, Akbarzadeh A, Bontempi D, Clifford W, Herrmann MD, Höfener H, Octaviano I, Osborne C, Paquette S, Petts J, Punzo D, Reyes M, Schacherer DP, Tian M, White G, Ziegler E, Shmulevich I, Pihl T, Wagner U, Farahani K, Kikinis R. NCI Imaging Data Commons. Cancer Res 2021. PubMed
  • Nitsch J, Sack J, Halle MW, Moltz JH, Wall A, Rutherford AE, Kikinis R, Meine H. MRI-based radiomic feature analysis of end-stage liver disease for severity stratification. 2021. PubMed
  • Canalini L, Klein J, Miller D, Kikinis R. Enhanced registration of ultrasound volumes by segmentation of resection cavity in neurosurgical procedures. 2020; 15:1963-1974. PubMed
  • Gao Y, Xiao X, Han B, Li G, Ning X, Wang D, Cai W, Kikinis R, Berkovsky S, Di Ieva A, Zhang L, Ji N, Liu S. Deep Learning Methodology for Differentiating Glioma Recurrence From Radiation Necrosis Using Multimodal Magnetic Resonance Imaging: Algorithm Development and Validation. JMIR Med Inform 2020; 8:e19805. PubMed
  • Fedorov A, Hancock M, Clunie D, Brochhausen M, Bona J, Kirby J, Freymann J, Pieper S, J W L Aerts H, Kikinis R, Prior F. DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules. Med Phys 2020. PubMed
  • Fedorov A, Beichel R, Kalpathy-Cramer J, Clunie D, Onken M, Riesmeier J, Herz C, Bauer C, Beers A, Fillion-Robin JC, Lasso A, Pinter C, Pieper S, Nolden M, Maier-Hein K, Herrmann MD, Saltz J, Prior F, Fennessy F, Buatti J, Kikinis R. Quantitative Imaging Informatics for Cancer Research. JCO Clin Cancer Inform 2020; 4:444-453. PubMed
  • Kikinis R, Wells WM. Detection of Brain Metastases with Deep Learning Single-Shot Detector Algorithms. Radiology 2020. PubMed
  • Zhang F, Noh T, Juvekar P, Frisken SF, Rigolo L, Norton I, Kapur T, Pujol S, Wells W, Yarmarkovich A, Kindlmann G, Wassermann D, San Jose Estepar R, Rathi Y, Kikinis R, Johnson HJ, Westin CF, Pieper S, Golby AJ, O'Donnell LJ. SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization. JCO Clin Cancer Inform 2020; 4:299-309. PubMed
  • Xie G, Zhang F, Leung L, Mooney MA, Epprecht L, Norton I, Rathi Y, Kikinis R, Al-Mefty O, Makris N, Golby AJ, O'Donnell LJ. Anatomical assessment of trigeminal nerve tractography using diffusion MRI: A comparison of acquisition b-values and single- and multi-fiber tracking strategies. Neuroimage Clin 2020; 25:102160. PubMed
  • Miller K, Joldes GR, Bourantas G, Warfield SK, Hyde DE, Kikinis R, Wittek A. Biomechanical modeling and computer simulation of the brain during neurosurgery. Int J Numer Method Biomed Eng 2019. PubMed
  • Canalini L, Klein J, Miller D, Kikinis R. Segmentation-based registration of ultrasound volumes for glioma resection in image-guided neurosurgery. 2019. PubMed
  • Zaffino P, Pernelle G, Mastmeyer A, Mehrtash A, Zhang H, Kikinis R, Kapur T, Spadea MF. Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy. Phys Med Biol 2019. PubMed
  • Schwier M, van Griethuysen J, Vangel MG, Pieper S, Peled S, Tempany C, Aerts HJWL, Kikinis R, Fennessy FM, Fedorov A. Repeatability of Multiparametric Prostate MRI Radiomics Features. Sci Rep 2019; 9:9441. PubMed
  • Herz C, MacNeil K, Behringer PA, Tokuda J, Mehrtash A, Mousavi P, Kikinis R, Fennessy FM, Tempany CM, Tuncali K, Fedorov A. Open Source Platform for Transperineal In-bore MRI-guided Targeted Prostate Biopsy. 2019. PubMed
  • Fedorov A, Schwier M, Clunie D, Herz C, Pieper S, Kikinis R, Tempany C, Fennessy F. An annotated test-retest collection of prostate multiparametric MRI. Sci Data 2018; 5:180281. PubMed
  • Peled S, Vangel M, Kikinis R, Tempany CM, Fennessy FM, Fedorov A. Selection of Fitting Model and Arterial Input Function for Repeatability in Dynamic Contrast-Enhanced Prostate MRI. Acad Radiol 2018. PubMed
  • Mehrtash A, Ghafoorian M, Pernelle G, Ziaei A, Heslinga FG, Tuncali K, Fedorov A, Kikinis R, Tempany CM, Wells WM, Abolmaesumi P, Kapur T. Automatic Needle Segmentation and Localization in MRI with 3D Convolutional Neural Networks: Application to MRI-targeted Prostate Biopsy. IEEE Trans Med Imaging 2018. PubMed
  • Lasso A, Nam HH, Dinh PV, Pinter C, Fillion-Robin JC, Pieper S, Jhaveri S, Vimort JB, Martin K, Asselin M, McGowan FX, Kikinis R, Fichtinger G, Jolley MA. Interaction with Volume-Rendered Three-Dimensional Echocardiographic Images in Virtual Reality. 2018; 31:1158-1160. PubMed
  • Herrmann MD, Clunie DA, Fedorov A, Doyle SW, Pieper S, Klepeis V, Le LP, Mutter GL, Milstone DS, Schultz TJ, Kikinis R, Kotecha GK, Hwang DH, Andriole KP, Iafrate AJ, Brink JA, Boland GW, Dreyer KJ, Michalski M, Golden JA, Louis DN, Lennerz JK. Implementing the DICOM Standard for Digital Pathology. J Pathol Inform 2018; 9:37. PubMed
  • Herz C, Fillion-Robin JC, Onken M, Riesmeier J, Lasso A, Pinter C, Fichtinger G, Pieper S, Clunie D, Kikinis R, Fedorov A. dcmqi: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM. Cancer Res 2017; 77:e87-e90. PubMed
  • Black D, Hahn HK, Kikinis R, Wårdell K, Haj-Hosseini N. Auditory display for fluorescence-guided open brain tumor surgery. 2017. PubMed
  • Maier-Hein L, Vedula SS, Speidel S, Navab N, Kikinis R, Park A, Eisenmann M, Feussner H, Forestier G, Giannarou S, Hashizume M, Katic D, Kenngott H, Kranzfelder M, Malpani A, März K, Neumuth T, Padoy N, Pugh C, Schoch N, Stoyanov D, Taylor R, Wagner M, Hager GD, Jannin P. Surgical data science for next-generation interventions. Nat Biomed Eng 2017; 1:691-696. PubMed
  • Black D, Hansen C, Nabavi A, Kikinis R, Hahn H. A Survey of auditory display in image-guided interventions. 2017. PubMed
  • Chen X, Xu L, Wang H, Wang F, Wang Q, Kikinis R. Development of a surgical navigation system based on 3D Slicer for intraoperative implant placement surgery. Med Eng Phys 2017. PubMed
  • Norton I, Essayed W, Zhang F, Pujol S, Yarmarkovich A, Golby AJ, Kindlmann G, Wassermann D, Estepar RSJ, Rathi Y, Pieper S, Kikinis R, Johnson HJ, Westin CF, O'Donnell LJ. SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research. Cancer Res 2017; 77:e101-e103. PubMed
  • Kapur T, Pieper S, Fedorov A, Fillion-Robin JC, Halle M, O'Donnell L, Lasso A, Ungi T, Pinter C, Finet J, Pujol S, Jagadeesan J, Tokuda J, Norton I, Estepar RS, Gering D, Aerts HJ, Jakab M, Hata N, Ibanez L, Blezek D, Miller J, Aylward S, Grimson WE, Fichtinger G, Wells WM, Lorensen WE, Schroeder W, Kikinis R. Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience. Med Image Anal 2016; 33:176-80. PubMed
  • Pujol S, Baldwin M, Nassiri J, Kikinis R, Shaffer K. Using 3D Modeling Techniques to Enhance Teaching of Difficult Anatomical Concepts. Acad Radiol 2016; 23:507-16. PubMed
  • Fedorov A, Clunie D, Ulrich E, Bauer C, Wahle A, Brown B, Onken M, Riesmeier J, Pieper S, Kikinis R, Buatti J, Beichel RR. DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research. PeerJ 2016; 4:e2057. PubMed
  • Mehrtash A, Gupta SN, Shanbhag D, Miller JV, Kapur T, Fennessy FM, Kikinis R, Fedorov A. Bolus arrival time and its effect on tissue characterization with dynamic contrast-enhanced magnetic resonance imaging. J Med Imaging (Bellingham) 2016; 3:014503. PubMed
  • Fedorov A, Wells WM, Kikinis R, Tempany CM, Vangel MG. Application of tolerance limits to the characterization of image registration performance. IEEE Trans Med Imaging 2014. PubMed
  • Huang W, Li X, Chen Y, Li X, Chang MC, Oborski MJ, Malyarenko DI, Muzi M, Jajamovich GH, Fedorov A, Tudorica A, Gupta SN, Laymon CM, Marro KI, Dyvorne HA, Miller JV, Barbodiak DP, Chenevert TL, Yankeelov TE, Mountz JM, Kinahan PE, Kikinis R, Taouli B, Fennessy F, Kalpathy-Cramer J. Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge. Transl Oncol 2014; 7:153-66. PubMed
  • Parmar C, Rios Velazquez E, Leijenaar R, Jermoumi M, Carvalho S, Mak RH, Mitra S, Shankar BU, Kikinis R, Haibe-Kains B, Lambin P, Aerts HJ. Robust Radiomics feature quantification using semiautomatic volumetric segmentation. PLoS ONE 2014; 9:e102107. PubMed
  • Velazquez ER, Parmar C, Jermoumi M, Mak RH, van Baardwijk A, Fennessy FM, Lewis JH, De Ruysscher D, Kikinis R, Lambin P, Aerts HJ. Volumetric CT-based segmentation of NSCLC using 3D-Slicer. Sci Rep 2013; 3:3529. PubMed
  • Fedorov A, Tuncali K, Fennessy FM, Tokuda J, Hata N, Wells WM, Kikinis R, Tempany CM. Image registration for targeted MRI-guided transperineal prostate biopsy. J Magn Reson Imaging 2012; 36:987-92. PubMed
  • Egger J, Kapur T, Nimsky C, Kikinis R. Pituitary adenoma volumetry with 3D Slicer. PLoS ONE 2012; 7:e51788. PubMed
  • Pohl KM, Konukoglu E, Novellas S, Ayache N, Fedorov A, Talos IF, Golby A, Wells WM, Kikinis R, Black PM. A new metric for detecting change in slowly evolving brain tumors: validation in meningioma patients. Neurosurgery 2011; 68:225-33. PubMed
  • Lee JW, Wen PY, Hurwitz S, Black P, Kesari S, Drappatz J, Golby AJ, Wells WM, Warfield SK, Kikinis R, Bromfield EB. Morphological characteristics of brain tumors causing seizures. Arch Neurol 2010; 67:336-42. PubMed
  • Oguro S, Tokuda J, Elhawary H, Haker S, Kikinis R, Tempany CM, Hata N. MRI signal intensity based B-spline nonrigid registration for pre- and intraoperative imaging during prostate brachytherapy. J Magn Reson Imaging 2009; 30:1052-8. PubMed
  • Rubin DL,Talos IF,Halle M,Musen MA,Kikinis R. Computational neuroanatomy: ontology-based representation of neural components and connectivity. BMC Bioinformatics 2009; 10 Suppl 2:S3. PubMed
  • Talos IF, Rubin DL, Halle M, Musen M, Kikinis R. A prototype symbolic model of canonical functional neuroanatomy of the motor system. J Biomed Inform 2008; 41:251-63. PubMed
  • Pujol S, Kikinis R, Gollub R. Lowering the barriers inherent in translating advances in neuroimage analysis to clinical research applications. Acad Radiol 2008; 15:114-8. PubMed
  • Pohl KM, Bouix S, Nakamura M, Rohlfing T, McCarley RW, Kikinis R, Grimson WE, Shenton ME, Wells WM. A hierarchical algorithm for MR brain image parcellation. IEEE Trans Med Imaging 2007; 26:1201-12. PubMed
  • Larsen S, Kikinis R, Talos IF, Weinstein D, Wells W, Golby A. Quantitative comparison of functional MRI and direct electrocortical stimulation for functional mapping. Int J Med Robot 2007; 3:262-70. PubMed
  • Brem MH, Zamani AA, Riva R, Zou KH, Rumboldt Z, Hennig FF, Kikinis R, Norbash AM, Schoepf UJ. Multidetector CT of the paranasal sinus: potential for radiation dose reduction. Radiology 2007; 243:847-52. PubMed
  • Krissian K, Westin CF, Kikinis R, Vosburgh KG. Oriented speckle reducing anisotropic diffusion. IEEE Trans Image Process 2007; 16:1412-24. PubMed
  • Talos IF, Zou KH, Kikinis R, Jolesz FA. Volumetric assessment of tumor infiltration of adjacent white matter based on anatomic MRI and diffusion tensor tractography. Acad Radiol 2007; 14:431-6. PubMed
  • Wittek A, Miller K, Kikinis R, Warfield SK. Patient-specific model of brain deformation: Application to medical image registration. J Biomech 2007; 40:919-29. PubMed
  • DiMaio SP, Pieper S, Chinzei K, Hata N, Haker SJ, Kacher DF, Fichtinger G, Tempany CM, Kikinis R. Robot-assisted needle placement in open MRI: system architecture, integration and validation. Comput Aided Surg 2007; 12:15-24. PubMed
  • Von Spiczak J, Samset E, Dimaio S, Reitmayr G, Schmalstieg D, Burghart C, Kikinis R. Device connectivity for image-guided medical applications. Stud Health Technol Inform 2007; 125:482-4. PubMed
  • Bricault I, Kikinis R, Morrison PR, Vansonnenberg E, Tuncali K, Silverman SG. Liver metastases: 3D shape-based analysis of CT scans for detection of local recurrence after radiofrequency ablation. Radiology 2006; 241:243-50. PubMed
  • Dimaio SP, Archip N, Hata N, Talos IF, Warfield SK, Majumdar A, Mcdannold N, Hynynen K, Morrison PR, Wells WM, Kacher DF, Ellis RE, Golby AJ, Black PM, Jolesz FA, Kikinis R. Image-guided neurosurgery at Brigham and Women's Hospital. IEEE Eng Med Biol Mag 2006; 25:67-73. PubMed
  • Das M, Sauer F, Schoepf UJ, Khamene A, Vogt SK, Schaller S, Kikinis R, vanSonnenberg E, Silverman SG. Augmented reality visualization for CT-guided interventions: system description, feasibility, and initial evaluation in an abdominal phantom. Radiology 2006; 240:230-5. PubMed
  • Pohl KM, Fisher J, Grimson WE, Kikinis R, Wells WM. A Bayesian model for joint segmentation and registration. Neuroimage 2006; 31:228-39. PubMed
  • Talos IF, Zou KH, Ohno-Machado L, Bhagwat JG, Kikinis R, Black PM, Jolesz FA. Supratentorial low-grade glioma resectability: statistical predictive analysis based on anatomic MR features and tumor characteristics. Radiology 2006; 239:506-13. PubMed
  • DiMaio SP, Kacher DF, Ellis RE, Fichtinger G, Hata N, Zientara GP, Panych LP, Kikinis R, Jolesz FA. Needle artifact localization in 3T MR images. Stud Health Technol Inform 2006; 119:120-5. PubMed
  • DiMaio SP, Pieper S, Chinzei K, Hata N, Balogh E, Fichtinger G, Tempany CM, Kikinis R. Robot-assisted needle placement in open-MRI: system architecture, integration and validation. Stud Health Technol Inform 2006; 119:126-31. PubMed
  • Pohl KM, Fisher J, Shenton M, McCarley RW, Grimson WE, Kikinis R, Wells WM. Logarithm odds maps for shape representation. Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv 2006; 9:955-63. PubMed
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DF/HCC members that share similar concepts* with Ron Kikinis, MD but have yet to coauthor a publication with this researcher.

* Concepts are MeSH terms, automatically derived from member publications

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