Dr. Jacqueline R. Thiesse-Namati Profile

Dr. Jacqueline R. Thiesse-Namati

at Massachusetts General Hospital

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Publications (8)

PROCEEDINGS ARTICLE | March 29, 2007

Three-dimensional murine airway segmentation in micro-CT images

Proc. SPIE. 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images

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

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PROCEEDINGS ARTICLE | March 8, 2007

Three-dimensional histopathology of lung cancer with multimodality image registration

Proc. SPIE. 6512, Medical Imaging 2007: Image Processing

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

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PROCEEDINGS ARTICLE | March 13, 2006

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

Proc. SPIE. 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images

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

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PROCEEDINGS ARTICLE | March 10, 2006

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

Proc. SPIE. 6144, Medical Imaging 2006: Image Processing

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

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PROCEEDINGS ARTICLE | April 14, 2005

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

Proc. SPIE. 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images

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

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PROCEEDINGS ARTICLE | April 14, 2005

Methods of in-vivo mouse lung micro-CT

Proc. SPIE. 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images

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

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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 | April 12, 2005

Image-guided simulation for bioluminescence tomographic imaging

Proc. SPIE. 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display

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

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PROCEEDINGS ARTICLE | July 13, 2004

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

Proc. SPIE. 5324, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XI

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

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Showing 5 of 8 publications

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