Abstract: A system and method for generating at least one optimized functional images of a lesion region of a subject is provided. The system includes a diffuse optical tomography (DOT) device, and a computing device. The DOT device is configured to acquire lesion functional data of an imaging volume including the lesion region of the breast and reference functional data from a corresponding imaging volume including healthy tissue within a contralateral breast. The computing device is programmed to generate at least one functional image of the breast by reconstructing the functional data at the plurality of regions including the lesion region and the surrounding adjacent background region. The functional images may be reconstructed by an optimization method regularized a preliminary estimate generated by applying a truncated pseudoinverse matrix of a weight matrix to the functional data. The optimized functional images relate to levels of hemoglobin at the voxels.

Abstract: Methods, apparatus, and storage medium for determining a condition of a biostructure by a neural network based on quantitative imaging data (QID) corresponding to an image of the biostructure. The method includes obtaining specific quantitative imaging data (QID) corresponding to an image of a biostructure; determining a context spectrum selection from context spectrum including a range of selectable values by: applying the specific QID to an input layer of a context-spectrum neural network, wherein the context-spectrum neural network is trained, according to a combination of focal loss and dice loss, based on previous QID and constructed context spectrum data associated with the previous QID; mapping the context spectrum selection to the image to generate a context spectrum mask for the image; and determining a condition of the biostructure based on the context spectrum mask.

Abstract: Systems and methods reconstruct an image of a subject or object by performing an iterative reconstruction method to produce a plurality of intermediate images and the image of the subject, and transforming at least one selected intermediate image from the plurality of intermediate images using a quasi-projection operator. The quasi-projection operator includes a deep-learning model configured to map the at least one selected intermediate image to at least one regularized intermediate image. In addition, systems and methods for training the deep-learning model using a training data set that includes a plurality of training images and a plurality of corresponding training object images is disclosed.

Abstract: Systems and methods for reconstructing an image of a subject or object based on a plurality of measured signals representing the subject or object obtained by an imaging device are disclosed. The systems and methods reconstruct the image of the subject or object by performing an iterative reconstruction method to produce a plurality of intermediate images and the image of the subject, and transforming at least one selected intermediate image from the plurality of intermediate images using a quasi-projection operator. The quasi-projection operator includes a deep-learning model configured to map the at least one selected intermediate image to at least one regularized intermediate image. In addition, systems and methods for training the deep-learning model using a training data set that includes a plurality of training images and a plurality of corresponding training object images is disclosed.

Abstract: Provided herein are the systems, methods, components for a three-dimensional tomography system. The system is a dual-modality imaging system that incorporates a laser ultrasonic system and a laser optoacoustic system. The dual-modality imaging system generates tomographic images of a volume of interest in a subject body based on speed of sound, ultrasound attenuation and/or ultrasound backscattering and for generating optoacoustic tomographic images of distribution of the optical absorption coefficient in the subject body based on absorbed optical energy density or various quantitative parameters derivable therefrom. Also provided is a method for increasing contrast, resolution and accuracy of quantitative information obtained within a subject utilizing the dual-modality imaging system.

Abstract: Provided herein are the systems, methods, components for a three-dimensional tomography system. The system is a dual-modality imaging system that incorporates a laser ultrasonic system and a laser optoacoustic system. The dual-modality imaging system generates tomographic images of a volume of interest in a subject body based on speed of sound, ultrasound attenuation and/or ultrasound backscattering and for generating optoacoustic tomographic images of distribution of the optical absorption coefficient in the subject body based on absorbed optical energy density or various quantitative parameters derivable therefrom. Also provided is a method for increasing contrast, resolution and accuracy of quantitative information obtained within a subject utilizing the dual-modality imaging system.

Abstract: Systems and methods of reconstructing photoacoustic imaging data corresponding to a brain of a subject through a skull of a subject utilizing a reconstruction method that incorporates a spatial model of one or more acoustic properties of the brain and skull of the subject derived from an adjunct imaging dataset.

Abstract: Systems and methods of reconstructing photoacoustic imaging data corresponding to a brain of a subject through a skull of a subject utilizing a reconstruction method that incorporates a spatial model of one or more acoustic properties of the brain and skull of the subject derived from an adjunct imaging dataset.

Abstract: Systems and methods for reconstructing an image of a subject or object based on a plurality of measured signals representing the subject or object obtained by an imaging device are disclosed. The systems and methods reconstruct the image of the subject or object by performing an iterative reconstruction method to produce a plurality of intermediate images and the image of the subject, and transforming at least one selected intermediate image from the plurality of intermediate images using a quasi-projection operator. The quasi-projection operator includes a deep-learning model configured to map the at least one selected intermediate image to at least one regularized intermediate image. In addition, systems and methods for training the deep-learning model using a training data set that includes a plurality of training images and a plurality of corresponding training object images is disclosed.

Abstract: A system and method for generating at least one optimized functional images of a lesion region of a subject is provided. The system includes a diffuse optical tomography (DOT) device, and a computing device. The DOT device is configured to acquire lesion functional data of an imaging volume including the lesion region of the breast and reference functional data from a corresponding imaging volume including healthy tissue within a contralateral breast. The computing device is programmed to generate at least one functional image of the breast by reconstructing the functional data at the plurality of regions including the lesion region and the surrounding adjacent background region. The functional images may be reconstructed by an optimization method regularized a preliminary estimate generated by applying a truncated pseudoinverse matrix of a weight matrix to the functional data. The optimized functional images relate to levels of hemoglobin at the voxels.

Abstract: Systems and methods for improving limited-view photoacoustic tomography using an acoustic reflector are described. In particular, an acoustic reflector and ultrasonic transducer array are integrated to provide a virtual array that enhances the field of view of the ultrasonic transducer array, thereby improving the quality of photoacoustic tomography images obtained using the systems and methods described herein.

Abstract: A method for optimizing a CT simulation protocol for different size patients for contouring and segmentation of organs and tumors. The method scanning different size phantoms, cadavers, or patients with a CT scanning x-ray tube to create a set of images and to create data sets for each different size phantoms, cadavers, or patients and then calculating an image quality index (IQI) as a benchmark for contouring accuracy. Finding an optimal IQI that characterizes patients of different sizes and using the optimal IQI to determine the accuracy of the contouring and segmentation of A CT simulation protocol for a patient.

Abstract: Systems and methods for improving limited-view photoacoustic tomography using an acoustic reflector are described. In particular, an acoustic reflector and ultrasonic transducer array are integrated to provide a virtual array that enhances the field of view of the ultrasonic transducer array, thereby improving the quality of photoacoustic tomography images obtained using the systems and methods described herein.

Abstract: A respiratory-gated photoacoustic computed tomography system is disclosed that includes a respiratory motion sensor operatively coupled to a photoacoustic computed tomography system. The respiratory motion sensor monitors respiratory motion of a subject by measuring changes in the levels of a coupling fluid within which the subject is immersed.

Abstract: Systems and methods for improving limited-view photoacoustic tomography using an acoustic reflector are described. In particular, an acoustic reflector and ultrasonic transducer array are integrated to provide a virtual array that enhances the field of view of the ultrasonic transducer array, thereby improving the quality of photoacoustic tomography images obtained using the systems and methods described herein.

Abstract: A method for optimizing a CT simulation protocol for different size patients for contouring and segmentation of organs and tumors. The method scanning different size phantoms, cadavers, or patients with a CT scanning x-ray tube to create a set of images and to create data sets for each different size phantoms, cadavers, or patients and then calculating an image quality index (IQI) as a benchmark for contouring accuracy. Finding an optimal IQI that characterizes patients of different sizes and using the optimal IQI to determine the accuracy of the contouring and segmentation of A CT simulation protocol for a patient.

Abstract: Systems and methods of reconstructing photoacoustic imaging data corresponding to a brain of a subject through a skull of a subject utilizing a reconstruction method that incorporates a spatial model of one or more acoustic properties of the brain and skull of the subject derived from an adjunct imaging dataset.

Abstract: Provided herein are the systems, methods, components for a three-dimensional tomography system. The system is a dual-modality imaging system incorporates a laser ultrasonic system and a laser optoacoustic system. The dual-modality imaging system has means for generate tomographic images of a volume of interest in a subject body based on speed of sound, ultrasound attenuation and/or ultrasound backscattering and for generating optoacoustic tomographic images of distribution of the optical absorption coefficient in the subject body based on absorbed optical energy density or various quantitative parameters derivable therefrom. Also provided is a method for increasing contrast, resolution and accuracy of quantitative information obtained within a subject utilizing the dual-modality imaging system.

Abstract: A method for reducing PROPELLER MRI data acquisition times, by combining k-space under-sampling and iterative reconstruction using NUFFT, while maintaining similar image quality as in PROPELLER MRI with sufficient k-space sampling. Iterative image reconstruction using NUFFT minimizes image artifacts produced with conventional PROPELLER image reconstruction in under-sampled acquisitions. The data acquisition and image reconstruction parameters are selected in order to achieve image quality similar to that of sufficiently-sampled PROPELLER acquisitions for significantly shorter imaging time. An advantage of using under-sampled PROPELLER imaging is a reduction in acquisition time by as much as 50% without introducing significant artifacts, and while maintaining other benefits of PROPELLER imaging.