Mr. Daniel J. Mirota Profile

Daniel J. Mirota

at Johns Hopkins Univ.

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Author

Publications (8)

Proceedings Article | 15 March 2013 Paper

Deformable image registration with content mismatch: a demons variant to account for added material and surgical devices in the target image

S. Nithiananthan, A. Uneri, S. Schafer, D. Mirota, Y. Otake, J. Stayman, W. Zbijewski, A. Khanna, D. Reh, G. Gallia, J. Siewerdsen

Proceedings Volume 8671, 86712A (2013) https://doi.org/10.1117/12.2008410

KEYWORDS: Image registration, Image segmentation, Tissues, Distortion, Cements, Image processing, Image-guided intervention, Detection and tracking algorithms, Image processing algorithms and systems, Surgery

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Proceedings Article | 17 February 2012 Paper

A clinical pilot study of a modular video-CT augmentation system for image-guided skull base surgery

Wen Liu, Daniel Mirota, Ali Uneri, Yoshito Otake, Gregory Hager, Douglas Reh, Masaru Ishii, Gary Gallia, Jeffrey Siewerdsen

Proceedings Volume 8316, 831633 (2012) https://doi.org/10.1117/12.911724

KEYWORDS: Calibration, Video, Surgery, Cameras, Endoscopy, Skull, Image registration, Endoscopes, Visualization, Computed tomography

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Proceedings Article | 17 February 2012 Paper

High-performance C-arm cone-beam CT guidance of thoracic surgery

Sebastian Schafer, Yoshito Otake, Ali Uneri, Daniel Mirota, Sajendra Nithiananthan, J. Stayman, Wojciech Zbijewski, Gerhard Kleinszig, Rainer Graumann, Marc Sussman, Jeffrey Siewerdsen

Proceedings Volume 8316, 83161I (2012) https://doi.org/10.1117/12.911811

KEYWORDS: Lung, Video, Surgery, Image registration, Visibility, Tissues, Computed tomography, Visualization, Tumors, Cameras

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Proceedings Article | 17 February 2012 Paper

Tracker-on-C for cone-beam CT-guided surgery: evaluation of geometric accuracy and clinical applications

S. Reaungamornrat, Y. Otake, A. Uneri, S. Schafer, D. Mirota, S. Nithiananthan, J. W. Stayman, A. J. Khanna, D. Reh, G. Gallia, R. Taylor, J. Siewerdsen

Proceedings Volume 8316, 831609 (2012) https://doi.org/10.1117/12.911454

KEYWORDS: Video, Fluoroscopy, Surgery, X-rays, Optical tracking, Visualization, Spine, Radiography, Image registration, X-ray computed tomography

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Conventional surgical tracking configurations carry a variety of limitations in line-of-sight, geometric accuracy, and mismatch with the surgeon's perspective (for video augmentation). With increasing utilization of mobile C-arms, particularly those allowing cone-beam CT (CBCT), there is opportunity to better integrate surgical trackers at bedside to address such limitations. This paper describes a tracker configuration in which the tracker is mounted directly on the Carm. To maintain registration within a dynamic coordinate system, a reference marker visible across the full C-arm rotation is implemented, and the "Tracker-on-C" configuration is shown to provide improved target registration error (TRE) over a conventional in-room setup - (0.9±0.4) mm vs (1.9±0.7) mm, respectively. The system also can generate digitally reconstructed radiographs (DRRs) from the perspective of a tracked tool ("x-ray flashlight"), the tracker, or the C-arm ("virtual fluoroscopy"), with geometric accuracy in virtual fluoroscopy of (0.4±0.2) mm. Using a video-based tracker, planning data and DRRs can be superimposed on the video scene from a natural perspective over the surgical field, with geometric accuracy (0.8±0.3) pixels for planning data overlay and (0.6±0.4) pixels for DRR overlay across all C-arm angles. The field-of-view of fluoroscopy or CBCT can also be overlaid on real-time video ("Virtual Field Light") to assist C-arm positioning. The fixed transformation between the x-ray image and tracker facilitated quick, accurate intraoperative registration. The workflow and precision associated with a variety of realistic surgical tasks were significantly improved using the Tracker-on-C - for example, nearly a factor of 2 reduction in time required for C-arm positioning, reduction or elimination of dose in "hunting" for a specific fluoroscopic view, and confident placement of the x-ray FOV on the surgical target. The proposed configuration streamlines the integration of C-arm CBCT with realtime tracking and demonstrated utility in a spectrum of image-guided interventions (e.g., spine surgery) benefiting from improved accuracy, enhanced visualization, and reduced radiation exposure.

Proceedings Article | 2 March 2011 Paper

Incorporating tissue excision in deformable image registration: a modified demons algorithm for cone-beam CT-guided surgery

S. Nithiananthan, D. Mirota, A. Uneri, S. Schafer, Y. Otake, J. W. Stayman, J. H. Siewerdsen

Proceedings Volume 7964, 796404 (2011) https://doi.org/10.1117/12.878258

KEYWORDS: Image registration, Tissues, Algorithm development, Computed tomography, Surgery, Head, Neck, 3D image processing, 3D modeling, Prototyping

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Proceedings Article | 2 March 2011 Paper

High-accuracy 3D image-based registration of endoscopic video to C-arm cone-beam CT for image-guided skull base surgery

Daniel Mirota, Ali Uneri, Sebastian Schafer, Sajendra Nithiananthan, Douglas Reh, Gary Gallia, Russell Taylor, Gregory Hager, Jeffrey Siewerdsen

Proceedings Volume 7964, 79640J (2011) https://doi.org/10.1117/12.877803

KEYWORDS: Image registration, Video, Endoscopy, Surgery, 3D acquisition, 3D image processing, Computed tomography, Visualization, Optical tracking, Skull

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Proceedings Article | 2 March 2011 Paper

Architecture of a high-performance surgical guidance system based on C-arm cone-beam CT: software platform for technical integration and clinical translation

Ali Uneri, Sebastian Schafer, Daniel Mirota, Sajendra Nithiananthan, Yoshito Otake, Sureerat Reaungamornrat, Jongheun Yoo, J. Webster Stayman, Douglas Reh, Gary Gallia, A. Jay Khanna, Gregory Hager, Russell Taylor, Gerhard Kleinszig, Jeffrey Siewerdsen

Proceedings Volume 7964, 796422 (2011) https://doi.org/10.1117/12.878191

KEYWORDS: Surgery, Video, Image registration, Computer architecture, Visualization, Fluoroscopy, Endoscopy, 3D image processing, Imaging systems, Computed tomography

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Intraoperative imaging modalities are becoming more prevalent in recent years, and the need for integration of these modalities with surgical guidance is rising, creating new possibilities as well as challenges. In the context of such emerging technologies and new clinical applications, a software architecture for cone-beam CT (CBCT) guided surgery has been developed with emphasis on binding open-source surgical navigation libraries and integrating intraoperative CBCT with novel, application-specific registration and guidance technologies. The architecture design is focused on accelerating translation of task-specific technical development in a wide range of applications, including orthopaedic, head-and-neck, and thoracic surgeries. The surgical guidance system is interfaced with a prototype mobile C-arm for high-quality CBCT and through a modular software architecture, integration of different tools and devices consistent with surgical workflow in each of these applications is realized. Specific modules are developed according to the surgical task, such as: 3D-3D rigid or deformable registration of preoperative images, surgical planning data, and up-to-date CBCT images; 3D-2D registration of planning and image data in real-time fluoroscopy and/or digitally reconstructed radiographs (DRRs); compatibility with infrared, electromagnetic, and video-based trackers used individually or in hybrid arrangements; augmented overlay of image and planning data in endoscopic or in-room video; real-time "virtual fluoroscopy" computed from GPU-accelerated DRRs; and multi-modality image display. The platform aims to minimize offline data processing by exposing quantitative tools that analyze and communicate factors of geometric precision. The system was translated to preclinical phantom and cadaver studies for assessment of fiducial (FRE) and target registration error (TRE) showing sub-mm accuracy in targeting and video overlay within intraoperative CBCT. The work culminates in the development of a CBCT guidance system (reported here for the first time) that leverages the technical developments in Carm CBCT and associated technologies for realizing a high-performance system for translation to clinical studies.

Proceedings Article | 13 March 2009 Paper

Direct endoscopic video registration for sinus surgery

Daniel Mirota, Russell Taylor, Masaru Ishii, Gregory Hager

Proceedings Volume 7261, 72612K (2009) https://doi.org/10.1117/12.812334

KEYWORDS: Video, Surgery, Navigation systems, Detection and tracking algorithms, Cameras, Reconstruction algorithms, Calibration, Endoscopy, Image registration, 3D modeling

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