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Paper in IBSI 2014 conference entitled “Automated Surgical OSATS Prediction from Videos”

April 28th, 2014 Irfan Essa Posted in Behavioral Imaging, Health Systems, Medical, Papers, Thomas Ploetz, Yachna Sharma No Comments »

  • Y. Sharma, T. Ploetz, N. Hammerla, S. Mellor, R. McNaney, P. Oliver, S. Deshmukh, A. McCaskie, and I. Essa (2014), “Automated Surgical OSATS Prediction from Videos,” in Proceedings of IEEE International Symposium on Biomedical Imaging, Beijing, CHINA, 2014. [PDF] [BIBTEX]
    @inproceedings{2014-Sharma-ASOPFV,
      Address = {Beijing, CHINA},
      Author = {Yachna Sharma and Thomas Ploetz and Nils Hammerla and Sebastian Mellor and Roisin McNaney and Patrick Oliver and Sandeep Deshmukh and Andrew McCaskie and Irfan Essa},
      Booktitle = {{Proceedings of IEEE International Symposium on Biomedical Imaging}},
      Date-Added = {2014-04-28 16:51:07 +0000},
      Date-Modified = {2014-04-28 17:07:29 +0000},
      Month = {April},
      Pdf = {http://www.cc.gatech.edu/~irfan/p/2014-Sharma-ASOPFV.pdf},
      Title = {Automated Surgical {OSATS} Prediction from Videos},
      Year = {2014}}

Abstract

The assessment of surgical skills is an essential part of medical training. The prevalent manual evaluations by expert surgeons are time consuming and often their outcomes vary substantially from one observer to another. We present a video-based framework for automated evaluation of surgical skills based on the Objective Structured Assessment of Technical Skills (OSATS) criteria. We encode the motion dynamics via frame kernel matrices, and represent the motion granularity by texture features. Linear discriminant analysis is used to derive a reduced dimensionality feature space followed by linear regression to predict OSATS skill scores. We achieve statistically significant correlation (p-value < 0.01) between the ground-truth (given by domain experts) and the OSATS scores predicted by our framework.

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Two Ph. D. Defenses the same day. A first for me!

April 2nd, 2014 Irfan Essa Posted in Activity Recognition, Computational Photography and Video, Health Systems, PhD, S. Hussain Raza, Students, Yachna Sharma No Comments »

Today, two of my Ph. D. Students defended their Dissertations.  Back to back.  Congrats to both as they are both done.

Thesis title: Surgical Skill Assessment Using Motion Texture analysis
Student: Yachna Sharma, Ph. D. Candidate in ECE
http://users.ece.gatech.edu/~ysharma3/
Date/Time : 2nd April, 1:00 pm

Title : Temporally Consistent Semantic Segmentation in Videos
S. Hussain Raza, Ph. D. Candidate in ECE
https://sites.google.com/site/shussainraza5/
Date/Time : 2nd April, 1:00 pm

Location : CSIP Library, Room 5186, CenterGy One Building

 

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Poster STS 2011: “3-Dimensional Visualization of the Operating Room Using Advanced Motion Capture: A Novel Paradigm to Expand Simulation-Based Surgical Education”

February 2nd, 2011 Irfan Essa Posted in Computational Photography and Video, Eric Sarin, Health Systems, Kihwan Kim, Papers, Uncategorized, William Cooper No Comments »

3-Dimensional Visualization of the Operating Room Using Advanced Motion Capture: A Novel Paradigm to Expand Simulation-Based Surgical Education

  • Sarin, Kim, Essa, and Cooper (2011), “3-Dimensional Visualization of the Operating Room Using Advanced Motion Capture: A Novel Paradigm to Expand Simulation-Based Surgical Education,” in Proccedings of Society of Thoracic Surgeons Annual Meeting, Society of Thoracic Surgeons, 2011.  [BLOG][BIBTEX]
    
    @incollection{2011-Sarin-3VORUAMCNPESSE,
      Author = {E. L. Sarin and K. Kim and I. Essa and W. A. Cooper},
      Blog = {http://prof.irfanessa.com/2011/02/02/sts-2011/},
      Booktitle = {Proccedings of Society of Thoracic Surgeons Annual Meeting},
      Month = {January},
      Publisher = {Society of Thoracic Surgeons},
      Title = {3-Dimensional Visualization of the Operating Room Using Advanced Motion Capture: A Novel Paradigm to Expand Simulation-Based Surgical Education},
      Type = {Poster and Video Presentation},
      Year = {2011}}

A collaborative project between School of Interactive Computing, Georgia Institute of Technology, Atlanta, Georgia, Division of Cardiothoracic Surgery, Emory University School of Medicine, Atlanta, Georgia, and Inova Heart and Vascular Institute1, Fairfax, Virginia. This was a Video and a Poster presentation at the Society of Thoracic Surgeons Annual Meeting in San Diego, CA, Jan 2011.

Poster for Society of Thoracic Surgeon's Annual Meeting

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Paper MICCAI (2007): “A Boosted Segmentation Method for Surgical Workflow Analysis”

October 21st, 2007 Irfan Essa Posted in Activity Recognition, Health Systems No Comments »

  • N. Padoy, T. Blum, I. Essa, H. Feussner, M. O. Berger, and N. Navab (2007), “A Boosted Segmentation Method for Surgical Workflow Analysis,” in Proceedings of International Conference on Medical Imaging Computing and Computer Assisted Intervention, (MICCAI), Brisbane, Australia, 2007. [PDF] [DOI] [BIBTEX]
    @inproceedings{2007-Padoy-BSMSWA, 
    Address = {Brisbane, Australia}, 
    Author = {N. Padoy and T. Blum and I. Essa and H. Feussner and M. O. Berger and N. Navab}, 
    Booktitle = {Proceedings of International Conference on Medical Imaging Computing and Computer Assisted Intervention, (MICCAI)}, Pdf = {http://www.cc.gatech.edu/~irfan/p/2007-Padoy-BSMSWA.pdf}, 
    Publisher = {Springer Lecture Notes in Computer Science (LNCS) series}, 
    Title = {A Boosted Segmentation Method for Surgical Workflow Analysis}, 
    Year = {2007}}

Abstract

As demands on hospital efficiency increase, there is a stronger need for automatic analysis, recovery, and modification of surgical workflows. Even though most of the previous work has dealt with higher level and hospital-wide workflow including issues like document management, workflow is also an important issue within the surgery room. Its study has a high potential, e.g., for building context-sensitive operating rooms, evaluating and training surgical staff, optimizing surgeries and generating automatic reports.In this paper we propose an approach to segment the surgical workflow into phases based on temporal synchronization of multidimensional state vectors. Our method is evaluated on the example of laparoscopic cholecystectomy with state vectors representing tool usage during the surgeries. The discriminative power of each instrument in regard to each phase is estimated using AdaBoost. A boosted version of the Dynamic Time Warping DTW algorithm is used to create a surgical reference model and to segment a newly observed surgery. Full cross-validation on ten surgeries is performed and the method is compared to standard DTW and to Hidden Markov Models.

via Abstract – SpringerLink.

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GT Research Horizons — Fall 2003

October 30th, 2003 Irfan Essa Posted in Aware Home, Health Systems, Human Factors, In The News, Intelligent Environments, Research No Comments »

GT Research Horizons — Fall 2003

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