Dr. Andinet Enquobahrie Profile

Dr. Andinet Enquobahrie

Assistant Director at Kitware Inc

SPIE Involvement:

Author

Publications (19)

Proceedings Article | 13 March 2019 Paper

Quantitative evaluation of local head malformations from 3 dimensional photography: application to craniosynostosis

Liyun Tu, Antonio Porras, Albert Oh, Natasha Lepore, Graham C. Buck, Deki Tsering, Andinet Enquobahrie, Robert Keating, Gary Rogers, Marius George Linguraru

Proceedings Volume 10950, 1095035 (2019) https://doi.org/10.1117/12.2512272

KEYWORDS: Head, Bone, Photography, Computed tomography, Skin, 3D image processing, Cognitive informatics, 3D modeling, Principal component analysis, Image segmentation

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Proceedings Article | 12 March 2019 Paper

Towards an advanced virtual ultrasound-guided renal biopsy trainer

Samantha Horvath, Sreekanth Arikatla, Kevin Cleary, Karun Sharma, Avi Rosenberg, Andinet Enquobahrie

Proceedings Volume 10951, 109511W (2019) https://doi.org/10.1117/12.2512871

KEYWORDS: Biopsy, Kidney, Ultrasonography, 3D modeling, Tissues, Computer simulations, Visualization, Haptic technology, Data modeling, Human-machine interfaces

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Proceedings Article | 8 March 2019 Paper

Content-based retrieval of video segments from minimally invasive surgery videos using deep convolutional video descriptors and iterative query refinement

Deepak Chittajallu, Arslan Basharat, Paul Tunison, Samantha Horvath, Katerina Wells, Steven Leeds, James Fleshman, Ganesh Sankaranarayanan, Andinet Enquobahrie

Proceedings Volume 10951, 109512Q (2019) https://doi.org/10.1117/12.2509985

KEYWORDS: Machine learning, Content based image retrieval, Laparoscopy, Computer vision technology, Video

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Proceedings Article | 13 March 2018 Presentation + Paper

High fidelity virtual reality orthognathic surgery simulator

Venkata Arikatla, Mohit Tyagi, Andinet Enquobahrie, Tung Nguyen, George Blakey, Ray White, Beatriz Paniagua

Proceedings Volume 10576, 1057612 (2018) https://doi.org/10.1117/12.2293690

KEYWORDS: Bone, Surgery, Visualization, Computer simulations, Haptic technology, Virtual reality, Electromagnetic simulation, Device simulation, Data modeling, Tissues

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Proceedings Article | 13 March 2018 Paper

Osteotomy planner: an open-source tool for osteotomy simulation

Sam Horvath, Beatriz Paniagua, Johan Andruejol, Antonio Porras, Marius George Linguraru, Andinet Enquobahrie

Proceedings Volume 10576, 105762R (2018) https://doi.org/10.1117/12.2293649

KEYWORDS: Bone, 3D modeling, Surgery, Skull, 3D image processing, Visualization, Computer simulations, 3D vision, Databases, Data modeling

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Proceedings Article | 27 February 2018 Presentation + Paper

Radiation-free quantification of head malformations in craniosynostosis patients from 3D photography

Liyun Tu, Antonio Porras, Albert Oh, Natasha Lepore, Manuel Mastromanolis, Deki Tsering, Beatriz Paniagua, Andinet Enquobahrie, Robert Keating, Gary Rogers, Marius George Linguraru

Proceedings Volume 10575, 105751U (2018) https://doi.org/10.1117/12.2295374

KEYWORDS: Photography, Head, Computed tomography, Surgery, 3D image processing, Shape analysis, Principal component analysis, Bone, Image segmentation, Binary data

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Proceedings Article | 3 March 2017 Paper

Temporal bone dissection simulator for training pediatric otolaryngology surgeons

Pooneh Tabrizi, Hongqiang Sang, Hadi Talari, Diego Preciado, Reza Monfaredi, Brian Reilly, Sreekanth Arikatla, Andinet Enquobahrie, Kevin Cleary

Proceedings Volume 10135, 101352O (2017) https://doi.org/10.1117/12.2254168

KEYWORDS: Bone, Haptic technology, Computer simulations, Surgery, Computed tomography, Image segmentation, Virtual reality, Nerve, Human-machine interfaces, Prototyping

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Proceedings Article | 3 March 2017 Paper

Physiology informed virtual surgical planning: a case study with a virtual airway surgical planner and BioGears

Lucas Potter, Sreekanth Arikatla, Aaron Bray, Jeff Webb, Andinet Enquobahrie

Proceedings Volume 10135, 101351T (2017) https://doi.org/10.1117/12.2252510

KEYWORDS: Physiology, Data modeling, Surgery, Virtual reality, Human physiology, Visualization, Oxygen, Resistance, Computed tomography, Biomedical engineering, 3D modeling, Lung, Carbon dioxide, Pathology

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Proceedings Article | 12 March 2014 Paper

A user-friendly automated port placement planning system for laparoscopic robotic surgery

Luis Torres, Hamidreza Azimian, Andinet Enquobahrie

Proceedings Volume 9036, 903613 (2014) https://doi.org/10.1117/12.2043767

KEYWORDS: Surgery, Laparoscopy, Robotic surgery, Robotic systems, Medical imaging, Visualization, Robotics, 3D visualizations, Interfaces, 3D image processing

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Proceedings Article | 29 March 2013 Paper

3D of brain shape and volume after cranial vault remodeling surgery for craniosynostosis correction in infants

Beatriz Paniagua, Omri Emodi, Jonathan Hill, James Fishbaugh, Luiz Pimenta, Stephen Aylward, Enquobahrie Andinet, Guido Gerig, John Gilmore, John van Aalst, Martin Styner

Proceedings Volume 8672, 86720V (2013) https://doi.org/10.1117/12.2006524

KEYWORDS: Brain, Control systems, Skull, Image segmentation, Surgery, Magnetic resonance imaging, Neuroimaging, Shape analysis, Computed tomography, 3D modeling

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Proceedings Article | 15 March 2013 Paper

Accelerating ultrasound image analysis research through publically available database

Vikas Revanna Shivaprabhu, Andinet Enquobahrie, Zach Mullen, Stephen Aylward

Proceedings Volume 8675, 867517 (2013) https://doi.org/10.1117/12.2007577

KEYWORDS: Databases, Ultrasonography, Image acquisition, Image registration, Image analysis, Data acquisition, Scanners, Image processing, Magnetic resonance imaging, Liver

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Proceedings Article | 14 March 2013 Paper

Patient-specific port placement for laparoscopic surgery using atlas-based registration

Andinet Enquobahrie, Vikas Shivaprabhu, Stephen Aylward, Julien Finet, Kevin Cleary, Ron Alterovitz

Proceedings Volume 8671, 86711M (2013) https://doi.org/10.1117/12.2006461

KEYWORDS: Surgery, Visualization, Laparoscopy, 3D modeling, 3D acquisition, Cameras, Image registration, Medical imaging, Data modeling, Detection and tracking algorithms

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Proceedings Article | 17 February 2012 Paper

Neurosurgery simulation using non-linear finite element modeling and haptic interaction

Huai-Ping Lee, Michel Audette, Grand Joldes, Andinet Enquobahrie

Proceedings Volume 8316, 83160H (2012) https://doi.org/10.1117/12.911987

KEYWORDS: Computer simulations, Haptic technology, Finite element methods, Tissues, Performance modeling, Brain, Virtual reality, Surgery, Optical spheres, Systems modeling

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Proceedings Article | 17 February 2012 Paper

Application of unscented Kalman filter for robust pose estimation in image-guided surgery

Alberto Vaccarella, Elena De Momi, Marta Valenti, Giancarlo Ferrigno, Andinet Enquobahrie

Proceedings Volume 8316, 83161K (2012) https://doi.org/10.1117/12.912165

KEYWORDS: Filtering (signal processing), Optical tracking, Image-guided intervention, Sensors, Error analysis, Navigation systems, Image analysis, Motion models, Magnetic resonance imaging, Computed tomography

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Proceedings Article | 27 February 2010 Paper

Reducing depth uncertainty in large surgical workspaces, with applications to veterinary medicine

Michel Audette, Ahmad Kolahi, Andinet Enquobahrie, Claudio Gatti, Kevin Cleary

Proceedings Volume 7625, 762525 (2010) https://doi.org/10.1117/12.843608

KEYWORDS: Medicine, Image-guided intervention, Sensors, 3D modeling, Instrument modeling, Surgery, Optical tracking, Computed tomography, Visualization, Image registration

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Proceedings Article | 13 March 2009 Paper

An open-source framework for testing tracking devices using Lego Mindstorms

Julien Jomier, Luis Ibanez, Andinet Enquobahrie, Danielle Pace, Kevin Cleary

Proceedings Volume 7261, 72612S (2009) https://doi.org/10.1117/12.812226

KEYWORDS: Software development, Computer programming, Image-guided intervention, Sensors, Robotics, C++, Optical sensors, Telecommunications, Servomechanisms, Calibration

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Proceedings Article | 13 March 2008 Paper

Integration of a real-time video grabber component with the open source image-guided surgery toolkit IGSTK

Ole Vegard Solberg, Geir-Arne Tangen, Frank Lindseth, Torleif Sandnes, Andinet Enquobahrie, Luis Ibáñez, Patrick Cheng, David Gobbi, Kevin Cleary

Proceedings Volume 6919, 69190Z (2008) https://doi.org/10.1117/12.772491

KEYWORDS: Video, Ultrasonography, Image-guided intervention, Medical imaging, 3D video streaming, Computed tomography, 3D image processing, Imaging systems, Visualization, Surgery

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Proceedings Article | 21 March 2007 Paper

The Image-Guided Surgery ToolKit IGSTK: an open source C++ software toolkit

Peng Cheng, Luis Ibanez, David Gobbi, Kevin Gary, Stephen Aylward, Julien Jomier, Andinet Enquobahrie, Hui Zhang, Hee-su Kim, M. Brian Blake, Kevin Cleary

Proceedings Volume 6516, 65160A (2007) https://doi.org/10.1117/12.719562

KEYWORDS: Software development, Image-guided intervention, Safety, Logic, C++, Visualization, Optical tracking, Computer programming, Control systems, Open source software

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Proceedings Article | 12 May 2004 Paper

Automated detection of pulmonary nodules from whole lung helical CT scans: performance comparison for isolated and attached nodules

Andinet Enquobahrie, Anthony Reeves, David Yankelevitz, Claudia Henschke

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.536096

KEYWORDS: Lung, Computed tomography, Detection and tracking algorithms, Image segmentation, Solids, Chest, Lung cancer, Image processing algorithms and systems, Databases, Algorithm development

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The objective of this research is to evaluate and compare the performance of our automated detection algorithm on isolated and attached nodules in whole lung CT scans. Isolated nodules are surrounded by the lung parenchyma with no attachment to large solid structures such as the chest wall or mediastinum surface, while attached nodules are adjacent to these structures. The detection algorithm involves three major stages. First, the region of the image space where pulmonary nodules are to be found is identified. This involves segmenting the lung region and generating the pleural surface. In the second stage, which is the hypothesis generation stage, nodule candidate locations are identified and their sizes are estimated. The nodule candidates are successively refined in the third stage a sequence of filters of increasing complexity. The algorithm was tested on a dataset containing 250 low-dose whole lung CT scans with 2.5mm slice thickness. A scan is composed of images covering the whole lung region for a single person. The dataset was partitioned into 200 and 50 scans for training and testing the algorithm. Only solid nodules were considered in this study. Experienced chest radiologists identified a total of 447 solid nodules. 345 and 102 of the nodules were from the training and testing datasets respectively. 126(28.2%) of the nodules in the dataset were attached nodules. The detection performance was then evaluated separately for isolated and attached nodule types considering different size ranges. For nodules 3mm and larger, the algorithm achieved a sensitivity of 97.8% with 2.0 false positives (FPs) per scan and 95.7% with 19.3 FPs per scan for isolated and attached nodules respectively. For nodules 4mm and larger, a sensitivity of 96.6% with 1.5 FP per scan and a 100% sensitivity with 13 FPs per scan were obtained for isolated and attached nodule types respectively. The results show that our algorithm detects isolated and attached nodules with comparable sensitivity but differing number of false positives per scan. The high number of false positives for attached nodule detection was mainly due to the complexity of the mediastinum lung surface.

Showing 5 of 19 publications

Conference Committee Involvement (3)

Digital Pathology

25 February 2015 | Orlando, Florida, United States

Digital Pathology

16 February 2014 | San Diego, California, United States

Digital Pathology

10 February 2013 | Lake Buena Vista (Orlando Area), Florida, United States

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