Publications
87 results found
, 2013, Pathological site retargeting under tissue deformation using geometrical association and tracking., Pages: 67-74
Recent advances in microscopic detection techniques include fluorescence spectroscopy, fibred confocal microscopy and optical coherence tomography. These methods can be integrated with miniaturised probes to assist endoscopy, thus enabling diseases to be detected at an early and pre-invasive stage, forgoing the need for histopathological samples and off-line analysis. Since optical-based biopsy does not leave visible marks after sampling, it is important to track the biopsy sites to enable accurate retargeting and subsequent serial examination. In this paper, a novel approach is proposed for pathological site retargeting in gastroscopic examinations. The proposed method is based on affine deformation modelling with geometrical association combined with cascaded online learning and tracking. It provides online in vivo retargeting, and is able to track pathological sites in the presence of tissue deformation. It is also robust to partial occlusions and can be applied to a range of imaging probes including confocal laser endomicroscopy.
Giannarou S, Visentini-Scarzanella M, Yang G-Z, 2013, Probabilistic Tracking of Affine-Invariant Anisotropic Regions, IEEE Trans. Pattern Anal. Machine Intell
Shi C, Giannarou S, Lee S-L, et al., 2013, Intravascular Modelling and Navigation for Transcatheter Aortic Valve Implantation
Vandini A, Giannarou S, Lee S-L, et al., 2013, 3D Robotic Catheter Shape Reconstruction and Localisation using Appearance Priors and Adaptive C-arm Positioning, Pages: 172-181
Giannarou S, Visentini-Scarzanella M, Yang G-Z, 2013, Probabilistic Tracking of Affine-Invariant Anisotropic Regions, IEEE Trans. Pattern Anal. Machine Intell., Vol: 35, Pages: 130-143
Copley SJ, Giannarou S, Schmid VJ, et al., 2012, Effect of Aging on Lung Structure In Vivo: Assessment With Densitometric and Fractal Analysis of High-resolution Computed Tomography Data, JOURNAL OF THORACIC IMAGING, Vol: 27, Pages: 366-371, ISSN: 0883-5993
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- Citations: 32
Giannarou S, Zhang Z, Yang G-Z, 2012, Deformable structure from motion by fusing visual and inertial measurement data, Pages: 4816-4821
Giannarou S, Yang G-Z, 2012, Tissue Deformation Recovery with Gaussian Mixture Model Based Structure from Motion, Pages: 47-57
Copley SJ, Giannarou S, Schmid VJ, et al., 2012, Effect of Ageing on Lung Microstructure in vivo: Assessment with Densitometric and Textural Analysis of High resolution CT Data, Journal of Thoracic Imaging, Vol: 27, Pages: 366-371
Giannarou S, Zhang Z, Yang G-Z, 2012, Fusion of Visual and Inertial Measurements for 3D Tissue Reconstruction in Minimally Invasive Surgery
Giannarou S, Yang G-Z, 2011, 3D Tissue Deformation Recovery for Minimally Invasive Surgery
Giannarou S, Stathaki T, 2011, A Novel Framework for Object Recognition Under Severe Occlusions, Advances in Intelligent Signal Processing and Data Mining, Editors: Georgieva, Mihaylova, Jain, Publisher: Springer
Lee SL, M Lerotic VV, Giannarou S, et al., 2010, From Medical Images to Minimally Invasive Intervention: Computer Assistance for Robotic Surgery, Computerized Medical Imaging and Graphics (CMIG), Vol: 34, Pages: 33-45-33-45
Giannarou S, Yang G-Z, 2010, Content-Based Surgical Workflow Representation Using Probabilistic Motion Modeling, Pages: 314-323
Mountney P, Giannarou S, Elson D, et al., 2009, Optical biopsy mapping for minimally invasive cancer screening, Pages: 483-490, ISSN: 0302-9743
The quest for providing tissue characterization and functional mapping during minimally invasive surgery (MIS) has motivated the development of new surgical tools that extend the current functional capabilities of MIS. Miniaturized optical probes can be inserted into the instrument channel of standard endoscopes to reveal tissue cellular and subcellular microstructures, allowing excision-free optical biopsy. One of the limitations of such a point based imaging and tissue characterization technique is the difficulty of tracking probed sites in vivo. This prohibits large area surveillance and integrated functional mapping. The purpose of this paper is to present an image-based tracking framework by combining a semi model-based instrument tracking method with vision-based simultaneous localization and mapping. This allows the mapping of all spatio-temporally tracked biopsy sites, which can then be re-projected back onto the endoscopic video to provide a live augmented view in vivo, thus facilitating re-targeting and serial examination of potential lesions. The proposed method has been validated on phantom data with known ground truth and the accuracy derived demonstrates the strength and clinical value of the technique. The method facilitates a move from the current point based optical biopsy towards large area multi-scale image integration in a routine clinical environment. © 2009 Springer-Verlag.
Atasoy S, Glocker B, Giannarou S, et al., 2009, Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy, Pages: 499-506
Giannarou S, Stathaki T, 2009, Fusion of Edge Maps Using Statistical Approaches, Image Fusion: Algorithms and Applications, Editors: Stathaki, Publisher: Academic Press
Copley SJ, Giannarou S, Schmid VJ, et al., 2009, Objective evaluation of pulmonary parenchyma on Thin-section CT using fractal analysis: a comparative study between $>$75 and $<$55 year old individuals
Giannarou S, Elson D, Yang G-Z, 2009, Tracking of spectroscopic and microscopic optical probes in endoscopy using the endoscope image field
Skodras A, Giannarou S, Fenwick M, et al., 2009, Object recognition in the ovary: Quantification of oocytes from microscopic images, Pages: 1-6
Giannarou S, Visentini-Scarzanella M, Yang G-Z, 2009, Affine-invariant anisotropic detector for soft tissue tracking in minimally invasive surgery, Pages: 1059-1062
Mountney P, Giannarou S, Elson D, et al., 2009, Optical Biopsy Mapping for Minimally Invasive Cancer Screening, Pages: 483-490
Skodras A, Giannarou S, Fenwick M, et al., 2009, OBJECT RECOGNITION IN THE OVARY: QUANTIFICATION OF OOCYTES FROM MICROSCOPIC IMAGES, 16th International Conference on Digital Signal Processing, Publisher: IEEE, Pages: 345-+
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- Citations: 2
Giannarou S, Stathaki T, 2007, Object Identification in Complex Scenes using Shape Context Descriptors and Multi-Stage Clustering, Pages: 244-247
Giannarou S, Stathaki T, 2007, Shape Signature Matching for Object Identification Invariant to Image Transformations and Occlusion, Pages: 710-717
Giannarou S, Stathaki T, 2006, Novel Statistical Approaches to the Quantitative Combination of Multiple Edge Detectors, Pages: 184-195
Giannarou S, Stathaki T, 2005, Edge detection using quantitative combination of multiple operators, Pages: 359-364
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