Perkinelmer Health Sciences, Inc.

Perkinelmer Cellular Technologies Germany Gmbh

Perkinelmer Health Services, Inc.

Revvity Health Sciences, Inc.

Ali Behrooz

Joshua Kempner

Peet Kask

William Walter Hurley

Andrew David Wilson

Ilias Faqir

Michael Meltzer

Presented herein are systems and methods for tomographic imaging of a region of interest in a subject using short-wave infrared light to provide for accurate reconstruction of absorption maps within the region of interest. The reconstructed absorption maps are representations of the spatial variation in tissue absorption within the region of interest. The reconstructed absorption maps can themselves be used to analyze anatomical properties and biological processes within the region of interest, and/or be used as input information about anatomical properties in order to facilitate data processing used to obtain images of the region of interest via other imaging modalities. For example, the reconstructed absorption maps may be incorporated into forward models that are used in tomographic reconstruction processing in fluorescence and other contrast-based tomographic imaging modalities. Incorporating reconstructed absorption maps into other tomographic reconstruction processing algorithms in this manner improves the accuracy of the resultant reconstructions.

Systems and methods for 3D reconstruction of anatomical organs and inclusions using short-wave infrared (SWIR) projection tomography

Presented herein are systems and methods that allow for vertebral centrums of individual vertebrae to be identified and segmented within a 3D image of a subject (e.g., a CT or microCT image). In certain embodiments, the approaches described herein identify, within a graphical representation of an individual vertebra in a 3D image of a subject, multiple discrete and differentiable regions, one of which corresponds to a vertebral centrum of the individual vertebra. The region corresponding to the vertebral centrum may be automatically or manually (e.g., via a user interaction) classified as such. Identifying vertebral centrums in this manner facilitates streamlined quantitative analysis of 3D images for osteological research, notably, providing a basis for rapid and consistent evaluation of vertebral centrum morphometric attributes.

Systems and methods for automated detection and segmentation of vertebral centrum(s) in 3D images

Presented herein are efficient and reliable systems and methods for calculating and extracting three-dimensional central axes of bones of animal subjects&#x2014;for example, animal subjects scanned by in vivo or ex vivo microCT platforms&#x2014;to capture both the general and localized tangential directions of the bone, along with its shape, form, curvature, and orientation. With bone detection and segmentation algorithms, the skeletal bones of animal subjects scanned by CT or microCT scanners can be detected, segmented, and visualized. Three dimensional central axes determined using these methods provide important information about the skeletal bones.

Systems and methods for characterizing a central axis of a bone from a 3D anatomical image

Presented herein are systems and methods that provide for fast image acquisition with a CCD camera for tomographic imaging by synchronizing illumination with the image acquisition sequence of the CCD camera. The systems and methods described herein allow images to be acquired with a CCD camera using short image acquisition times that would otherwise result in the introduction of severe artifacts into the acquired images. This unique capability is achieved by selectively illuminating the one or more object(s) to be imaged during specific phases of the CCD camera that are used to acquire an image. Reducing the time required to acquire artifact-free images in this manner allows for rapid imaging with a CCD camera. This capability is of particular relevance to tomographic imaging approaches, in which multiple images of one or more objects are acquired and used to produce a single tomographic image.

Rapid, high dynamic range image acquisition with a charge-coupled device (CCD) camera

Presented herein are systems and methods for tomographic imaging that provide for rapid illumination of multiple excitation locations across a large field of view by one or more beams of excitation light from one or more excitation sources. The approaches described herein utilize a galvanometer optical scanner to scan a beam of excitation light through a plurality of locations across a scan region corresponding to the field of view to be imaged. In certain embodiments, the systems and methods described herein utilize beams of excitation light with specifically tailored shapes to maintain small spot sizes across the large scan region. The ability to scan over a large region while still maintaining small spot sizes provided by the approaches described herein allows for accurate, high-resolution tomographic imaging of large or multiple subjects, thereby expanding the capabilities of tomographic imaging systems.

Systems and methods for rapid wide field illumination scanning for in vivo small animal fluorescence tomographic imaging

Presented herein are systems and methods that facilitate automated segmentation of 3D images of subjects to distinguish between regions of heterotopic ossification (HO) normal skeleton, and soft tissue. In certain embodiments, the methods identify discrete, differentiable regions of a 3D image of subject (e.g., a CT or microCT image) that may then be either manually or automatically classified as either HO or normal skeleton.

Systems and methods for automated analysis of heterotopic ossification in 3D images

Presented herein, in certain embodiments, are approaches for robust bone splitting and segmentation in the context of small animal imaging, for example, microCT imaging. In certain embodiments, a method for calculating and applying single and hybrid second-derivative splitting filters to gray-scale images and binary bone masks is described. These filters can accurately identify the split lines/planes of the bones even for low-resolution data, and hence accurately morphologically disconnect the individual bones. The split bones can then be used as seeds in region growing techniques such as marker-controlled watershed segmentation. With this approach, the bones can be segmented with much higher robustness and accuracy compared to prior art methods.

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Waltham, MA, United States of America

Ali Behrooz