Dr. Jacqueline R. Thiesse-Namati Profile

Dr. Jacqueline R. Thiesse-Namati

at Massachusetts General Hospital

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Author

Publications (8)

Proceedings Article | 29 March 2007 Paper

Three-dimensional murine airway segmentation in micro-CT images

Lijun Shi, Jacqueline Thiesse, Geoffrey McLennan, Eric Hoffman, Joseph Reinhardt

Proceedings Volume 6511, 651105 (2007) https://doi.org/10.1117/12.711213

KEYWORDS: Image segmentation, Lung, 3D image processing, In vivo imaging, Preclinical imaging, Reconstruction algorithms, Visualization, Computed tomography, Image analysis, Imaging systems

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Proceedings Article | 8 March 2007 Paper

Three-dimensional histopathology of lung cancer with multimodality image registration

Jessica de Ryk, Jamie Weydert, Gary Christensen, Jacqueline Thiesse, Eman Namati, Joseph Reinhardt, Eric Hoffman, Geoffrey McLennan

Proceedings Volume 6512, 65122F (2007) https://doi.org/10.1117/12.710597

KEYWORDS: Tissues, Tumors, Lung cancer, Image registration, Neural networks, 3D image processing, Computed tomography, Cancer, Lung, Microscopy

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Proceedings Article | 13 March 2006 Paper

In vivo micro-CT imaging of the murine lung via a computer controlled intermittent iso-pressure breath hold (IIBH) technique

Eman Namati, Deokiee Chon, Jacqueline Thiesse, Geoffrey McLennan, Jered Sieren, Alan Ross, Eric Hoffman

Proceedings Volume 6143, 614305 (2006) https://doi.org/10.1117/12.651885

KEYWORDS: In vivo imaging, Lung, Image resolution, Image acquisition, X-rays, Scanners, Image quality, X-ray imaging, X-ray computed tomography, Lung imaging

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Proceedings Article | 10 March 2006 Paper

Establishing multi-modality datasets with the incorporation of 3D histopathology for soft tissue classification

Jessica de Ryk, Jacqueline Thiesse, Joseph Reinhardt, Eric Hoffman, Geoffrey McLennan

Proceedings Volume 6144, 614437 (2006) https://doi.org/10.1117/12.654480

KEYWORDS: Tissues, Algorithm development, Image classification, Image registration, Image processing, Lung, Imaging systems, Blood vessels, Imaging arrays, 3D acquisition

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Proceedings Article | 14 April 2005 Paper

Methods of in-vivo mouse lung micro-CT

Wolfgang Recheis, Earl Nixon, Jacqueline Thiesse, Geoffrey McLennan, Alan Ross, Eric Hoffman

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.598464

KEYWORDS: Lung, In vivo imaging, Calibration, Scanners, Mouse models, Pixel resolution, Sensors, X-rays, Aluminum, Image quality

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Micro-CT will have a profound influence on the accumulation of anatomical and physiological phenotypic changes in natural and transgenetic mouse models. Longitudinal studies will be greatly facilitated, allowing for a more complete and accurate description of events if in-vivo studies are accomplished. The purpose of the ongoing project is to establish a feasible and reproducible setup for in-vivo mouse lung micro-computed tomography (μCT). We seek to use in-vivo respiratory-gated μCT to follow mouse models of lung disease with subsequent recovery of the mouse. Methodologies for optimizing scanning parameters and gating for the in-vivo mouse lung are presented. A Scireq flexiVent ventilated the gas-anesthetized mice at 60 breaths/minute, 30 cm H20 PEEP, 30 ml/kg tidal volume and provided a respiratory signal to gate a Skyscan 1076 μCT. Physiologic monitoring allowed the control of vital functions and quality of anesthesia, e.g. via ECG monitoring. In contrary to longer exposure times with ex-vivo scans, scan times for in-vivo were reduced using 35μm pixel size, 158ms exposure time and 18μm pixel size, 316ms exposure time to reduce motion artifacts. Gating via spontaneous breathing was also tested. Optimal contrast resolution was achieved at 50kVp, 200μA, applying an aluminum filter (0.5mm). There were minimal non-cardiac related motion artifacts. Both 35μm and 1μm voxel size images were suitable for evaluation of the airway lumen and parenchymal density. Total scan times were 30 and 65 minutes respectively. The mice recovered following scanning protocols. In-vivo lung scanning with recovery of the mouse delivered reasonable image quality for longitudinal studies, e.g. mouse asthma models. After examining 10 mice, we conclude μCT is a feasible tool evaluating mouse models of lung pathology in longitudinal studies with increasing anatomic detail available for evaluation as one moves from in-vivo to ex-vivo studies. Further developments include automated bronchial tree segmentation and airway wall thickness measurement tools. Improvements in Hounsfield unit calibration have to be performed when the interest of the study lies in determining and quantifying parenchymal changes and rely on estimating partial volume contributions of underlying structures to voxel densities.

Proceedings Article | 14 April 2005 Paper

Three-dimensional visual truth of the normal airway tree for use as a quantitative comparison to micro-CT reconstructions

Jacqueline Thiesse, Joseph Reinhardt, Jessica de Ryk, Eman Namati, Jessica Leinen, Wolfgang Recheis, Eric Hoffman, Geoffrey McLennan

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.596806

KEYWORDS: Lung, Tissues, Pathology, 3D modeling, Image segmentation, 3D metrology, 3D image processing, Mouse models, Imaging systems, Visualization

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Proceedings Article | 12 April 2005 Paper

Image-guided simulation for bioluminescence tomographic imaging

Durairaj Kumar, Wenxiang Cong, Jacqueline Thiesse, Earl Nixon, John Meinel, Alex Cong, Geoffrey McLennan, Eric Hoffman, Jiang Ming, Ge Wang

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.595387

KEYWORDS: Monte Carlo methods, Image segmentation, Animal model studies, Photon transport, Reverse modeling, 3D modeling, Bioluminescence, Mathematical modeling, Tissue optics, Tomography

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Proceedings Article | 13 July 2004 Paper

Bright field segmentation tomography (BFST) for use as surface identification in stereomicroscopy

Jacqueline Thiesse, Eman Namati, Jessica de Ryk, Eric Hoffman, Geoffrey McLennan

Proceedings Volume 5324, (2004) https://doi.org/10.1117/12.529101

KEYWORDS: Light emitting diodes, Image processing, Image segmentation, Natural surfaces, Tissues, 3D acquisition, 3D image processing, Microscopes, Light sources and illumination, Lung

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Showing 5 of 8 publications

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