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2. Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm

Author

Billings, Seth D., Sinha, Ayushi, Reiter, Austin, Leonard, Simon, Ishii, Masaru, Hager, Gregory D., and Taylor, Russell H.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Functional endoscopic sinus surgery (FESS) is a surgical procedure used to treat acute cases of sinusitis and other sinus diseases. FESS is fast becoming the preferred choice of treatment due to its minimally invasive nature. However, due to the limited field of view of the endoscope, surgeons rely on navigation systems to guide them within the nasal cavity. State of the art navigation systems report registration accuracy of over 1mm, which is large compared to the size of the nasal airways. We present an anatomically constrained video-CT registration algorithm that incorporates multiple video features. Our algorithm is robust in the presence of outliers. We also test our algorithm on simulated and in-vivo data, and test its accuracy against degrading initializations., Comment: 8 pages, 4 figures, MICCAI

Published
2016
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7. Face Detection and Object Recognition for a Retinal Prosthesis

Author

Rollend, Derek, Rosendall, Paul, Billings, Seth, Burlina, Philippe, Wolfe, Kevin, Katyal, Kapil, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Chen, Chu-Song, editor, Lu, Jiwen, editor, and Ma, Kai-Kuang, editor

Published
2017
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9. Iterative Most Likely Oriented Point Registration

Author

Billings, Seth, Taylor, Russell, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Golland, Polina, editor, Hata, Nobuhiko, editor, Barillot, Christian, editor, Hornegger, Joachim, editor, and Howe, Robert, editor

Published
2014
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10. Active Multispectral Illumination and Image Fusion for Retinal Microsurgery

Author

Sznitman, Raphael, Billings, Seth, Rother, Diego, Mirota, Daniel, Yang, Yi, Handa, Jim, Gehlbach, Peter, Kang, Jin U., Hager, Gregory D., Taylor, Russell, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Navab, Nassir, editor, and Jannin, Pierre, editor

Published
2010
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18. Erratum: Iterative Most Likely Oriented Point Registration

Author

Billings, Seth, Taylor, Russell, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Golland, Polina, editor, Hata, Nobuhiko, editor, Barillot, Christian, editor, Hornegger, Joachim, editor, and Howe, Robert, editor

Published
2014
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23. Embedded clutter reduction and face detection algorithms for a visual prosthesis

Author

Rollend, Derek M., primary, Rosendall, Paul E., additional, Wolfe, Kevin C., additional, Kleissas, Dean M., additional, Billings, Seth D., additional, Oben, Jonathan M., additional, Helder, John B., additional, Tenore, Francesco V., additional, Burlina, Philippe M., additional, Roy, Arup, additional, Greenberg, Robert, additional, and Katyal, Kapil D., additional

Published
2016
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28. A hybrid surface/image-based approach to facilitate ultrasound/CT registration

Author

Billings, Seth, Kapoor, Ankur, Keil, Matthias, Wood, Bradford J., and Boctor, Emad

Abstract

Registration of intra-operative ultrasound with preoperative CT is highly desirable as a navigational aid for surgeons and interventional radiologists. Image-based solutions generally achieve poor results due to substantially different image appearance of ultrasound and CT. A method is presented that uses surface information and tracked ultrasound to improve registration results. Tracked ultrasound is combined with surface and image-based registration techniques to register ultrasound to CT. Surface data is acquired using an optically tracked range sensor, for example time-of-flight camera. Range data is registered to CT using robust point-set registration; this registration provides an approximate transformation from tracker to CT coordinates. The ultrasound probe is also optically tracked. The probe position and surface-based registration provide a first estimate for the position of the ultrasound image in CT coordinates. This estimate is subsequently refined by a final image-based registration stage. Initial tests using Coherent Point Drift algorithm for registering surface data to CT show favorable results. Tests using both simulated and real time-of-flight range data have good convergence over a wide initial translation and rotation misalignment domain. Preliminary testing using time-of-flight surface data suggests that surface to CT registration may be useful as an initial guess enabling later more precise (but less robust) image based methods for registering ultrasound images to CT. We believe this method will enable image-based algorithms to robustly converge to an optimal registration solution.

Published
2011
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30. Pattern of muscle involvement in inclusion body myositis: a sonographic study.

Author

Albayda J, Christopher-Stine L, Bingham Iii CO, Paik JJ, Tiniakou E, Billings S, Uy OM, and Burlina P

Subjects
Aged, Aged, 80 and over, Case-Control Studies, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Muscle, Skeletal diagnostic imaging, Myositis, Inclusion Body diagnostic imaging, Ultrasonography methods
Abstract

Objectives: Imaging plays a role in myositis assessment by detecting muscle changes indicative of pathology. This study was conducted to determine the ultrasonographic pattern of muscle involvement in patients with inclusion body myositis (IBM) through an assessment of muscle echointensity., Methods: Sixty-two individuals were consecutively studied, 18 with IBM, 16 with polymyositis or dermatomyositis and 28 normal controls. Standardised scans were completed bilaterally for the deltoids, biceps, flexor digitorum profundus (FDP), flexor carpi ulnaris, rectus femoris, tibialis anterior and gastrocnemius assessing for muscle echointensity changes., Results: Patients with IBM had a markedly increased muscle echointensity when compared with comparator groups for all muscles studied. This was most discriminating at the FDP, gastrocnemius and rectus femoris. Asymmetry between sides and a heterogeneously increased echointensity were also seen., Conclusions: Ultrasonography can aid in the assessment of IBM by displaying an increased echointensity in characteristically involved muscles, particularly when combined with assessments for asymmetry and echotexture.

Published
2018

31. Embedded clutter reduction and face detection algorithms for a visual prosthesis.

Author

Rollend DM, Rosendall PE, Wolfe KC, Kleissas DM, Billings SD, Oben JM, Helder JB, Tenore FV, Burlina PM, Roy A, Greenberg R, and Katyal KD

Subjects
Humans, Image Processing, Computer-Assisted, Pattern Recognition, Visual physiology, Visually Impaired Persons, Algorithms, Face, Visual Prosthesis
Abstract

Retinal prosthetic devices can significantly and positively impact the ability of visually challenged individuals to live a more independent life. We describe a visual processing system which leverages image analysis techniques to produce visual patterns and allows the user to more effectively perceive their environment. These patterns are used to stimulate a retinal prosthesis to allow self guidance and a higher degree of autonomy for the affected individual. Specifically, we describe an image processing pipeline that allows for object and face localization in cluttered environments as well as various contrast enhancement strategies in the "implanted image." Finally, we describe a real-time implementation and deployment of this system on the Argus II platform. We believe that these advances can significantly improve the effectiveness of the next generation of retinal prostheses.

Published
2016
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