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functional, molecular and structural imaging using LED-based Photoacoustic and Ultrasound imaging system

Functional, Molecular and Structural imaging using LED-based...

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conference on Photons Plus Ultrasound - imaging and Sensing 2020

作者： Agrawal, Sumit Singh, Mithun Kuniyil Ajith Yang, Xinyi Albahrani, Hussain Dangi, Ajay Kothapalli, Sri-Rajasekhar Penn State Univ Dept Biomed Engn University Pk PA 16802 USA Cyberdyne Inc Rotterdam Netherlands Penn State Univ Penn State Canc Inst Hershey PA 17033 USA

ISBN: (纸本)9781510632448

Conventional photoacoustic imaging (PAI) systems use bulky and high-cost laser sources to derive functional and molecular information of the tissue. Recently, light emitting diodes (LED) have emerged as an affordable and compact alternative illumination source for PAI. Despite their low energies, LEDs have provided sufficient photoacoustic contrast for in vivo imaging of mice and for certain clinical applications. This is largely due to PA signal averaging allowed by higher repetition rates of the LEDs without compromising on video frame rate photoacoustic imaging. In this work, using multiple in vivo and phantom experiments, we demonstrate the potential of LED-based photoacoustic and ultrasound imaging (2-D and 3-D) for real-time functional, molecular and structural characterization of tissue. This includes photoacoustic derived functional oxygen saturation information and mapping molecules such as melanin, methylene blue and indocyanine green, and ultrasound derived anatomical information of tissue. These results demonstrate that LED-based PA and US imaging hold strong potential for accelerating several pre-clinical and clinical applications, especially in resource-poor settings.

关键词： Photoacoustic imaging (PAI) Light-emitting diodes (LED) molecular imaging functional imaging structural imaging

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A fast reconstruction algorithm for fluorescence molecular tomography via Multipath Subspace Pursuit method

A fast reconstruction algorithm for fluorescence molecular t...

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spie conference on Medical imaging - biomedical applications in molecular, structural, and functional imaging

作者： Ni, HaoXuan Ye, Jinzuo Xiang, Dehui Du, Yang Chen, Xinjian Tian, Jie Soochow Univ Sch Elect & Informat Engn Suzhou 215006 Jiangsu Peoples R China Chinese Acad Sci Inst Automat CAS Key Lab Mol Imaging Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100080 Peoples R China

ISBN: (数字)9781510616462

ISBN: (纸本)9781510616462

Fluorescence molecular Tomography (FMT) is one of the most important preclinical research techniques, which can obtain three-dimensional reconstruction of tumors in mouse in vivo. However, the ill-posedness of FMT makes its reconstruction a challenging problem. Therefore, more effective, robust, and accurate reconstruction methods are needed to be developed to solve the FMT reconstruction problem. In this paper, a reconstruction method named multipath subspace pursuit (MSP) is applied to solve the FMT problem. At the end of an iteration, the MSP method creates several candidate support set. Through evaluating the normal of final residual vector, the best candidate can be selected as the final support set. Then the support set is used for reconstructing sense matrix to achieve the goal of FMT reconstruction. In order to verity the reconstruction result of the proposed MSP method, the simulated experiment of triple fluorescent sources and quantitative analyses of position error and relative intensity error for the experiment have been conducted. The MSP method obtains satisfactory results, and the source position error is below 1 mm. Moreover, the computation time of the MSP method is about one order of magnitude less than iterated shrinkage with the L1-norm (IS_L1) method. The MSP method not only can obtain the result of robustness but also can reduce the artifacts in the background. The above results revealed the MSP method for the potential FMT application.

关键词： fluorescence molecular tomography multipath subspace pursuit reconstruction

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Endoscopic Cerenkov luminescence imaging : in vivo small animal tumor model validation

Endoscopic Cerenkov luminescence imaging : in vivo small ani...

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conference on Medical imaging - biomedical applications in molecular, structural, and functional imaging

作者： Song, Tianming Bao, Chengpeng Hu, Zhenhua Wang, Kun Liu, Xia Tian, Jie Harbin Univ Sci & Technol Sch Automat Harbin 150050 Peoples R China Chinese Acad Sci Inst Automat Intelligent Med Res Ctr Beijing 100190 Peoples R China

ISBN: (纸本)9781628415070

Background: Cerenkov luminescence imaging (CLI) provides a great potential for clinical translation of optical molecular imaging techniques through using clinical approved radiotracers. However, it is difficult to obtain the Cerenkov luminescence signal of deeper biological tissues due to the small magnitude of the signal. To efficiently acquire the weak Cerenkov luminescence, we developed an endoscopic Cerenkov luminescence imaging (ECLI) system to reduce the in vivo imaging depth with minimum invasion, and validated the system on small animal tumor models. Methods: For the ECLI system, the laparoscope was connected to a high sensitive charge-couple device (CCD) camera (DU888+, Andor, UK) by a custom made adapter. We conducted a series of in vitro and in vivo experiments by use of the system. In the in vitro experiment, the endoscopic luminescence images of the F-18-FDG with various activities in EP tubes were acquired using ECLI system, and the sensitivity was compared with conventional CLI system. In the in vivo tumor experiment, F-18-FDG with the activity of 200 mu Ci were intravenously injected into 3 tumor mice. Then the ECLI system was used to acquire the optical images for both non-invasive and invasive conditions. Conclusion: Experimental data showed the ECLI system could detect the F-18-FDG with the activity as low as 1 mu Ci. Furthermore, our preliminary results indicated the possibility of ECLI technique for detecting Cerenkov signals inside the tumor tissue with deeper depth and guiding the surgical operation of tumor excision. We believe that this technique can help to accelerate the clinical translation of CLI.

关键词： Optical molecular imaging endoscopic Cerenkov F-18-FDG clinical application detection devices sensitivity ECLI system

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Application of probabilistic fiber-tracking method of MR imaging to measure impact of cranial irradiation on structural brain connectivity in children treated for medulloblastoma

Application of probabilistic fiber-tracking method of MR Ima...

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spie biomedical applications in molecular, structural and functional imaging conference

作者： Duncan, Elizabeth C. Reddick, Wilburn E. Glass, John O. Hyun, Jung Won Ji, Qing Li, Yimei Gajjar, Amar St Jude Childrens Res Hosp Pediat Oncol Educ Program 2015 262 Danny Thomas Pl Memphis TN 38105 USA St Jude Childrens Res Hosp Dept Diagnost Imaging 262 Danny Thomas Pl Memphis TN 38105 USA St Jude Childrens Res Hosp Dept Biostat 262 Danny Thomas Pl Memphis TN 38105 USA St Jude Childrens Res Hosp Dept Oncol 262 Danny Thomas Pl Memphis TN 38105 USA

ISBN: (纸本)9781510600232

We applied a modified probabilistic fiber-tracking method for the extraction of fiber pathways to quantify decreased white matter integrity as a surrogate of structural loss in connectivity due to cranial radiation therapy (CRT) as treatment for pediatric medulloblastoma. Thirty subjects were examined (n=8 average-risk, n=22 high-risk) and the groups did not differ significantly in age at examination The pathway analysis created a structural connectome focused on sub-networks within the central executive network (CEN) for comparison between baseline and post-CRT scans and for comparison between standard and high dose CRT. A paired-wise comparison of the connectivity between baseline and post-CRT scans showed the irradiation did have a significant detrimental impact on white matter integrity (decreased fractional anisotropy (FA) and decreased axial diffusivity (AX)) in most of the CEN sub-networks. Group comparisons of the change in the connectivity revealed that patients receiving high dose CRT experienced significant AX decreases in all sub-networks while the patients receiving standard dose CRT had relatively stable AX measures across time. This study on pediatric patients with medulloblastoma demonstrated the utility of this method to identify specific sub-networks within the developing brain affected by CRT.

关键词： probabilistic fiber-tracking MRI structural connectivity structural connectome medulloblastoma axial diffusivity central executive network

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Magnetic Resonance Guided Optical Spectroscopy imaging of Human Breast Cancer Using a Combined Frequency Domain and Continuous Wave Approach

Magnetic Resonance Guided Optical Spectroscopy Imaging of Hu...

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conference on Medical imaging - biomedical applications in molecular, structural and functional imaging

作者： Mastanduno, Michael A. Davis, Scott C. Jiang, Shudong diFlorio-Alexander, Roberta Pogue, Brian W. Paulsen, Keith D. Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA Dartmouth Med Sch Dept Diagnost Radiol Lebanon NH 03756 USA

ISBN: (纸本)9780819489661

Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is used to image high-risk patients for breast cancer because of its higher sensitivity to tumors (approaching 100%) than traditional x-ray mammography. We focus on Near Infrared Spectroscopy (NIRS) as an emerging functional and molecular imaging technique that non-invasively quantifies optical properties of total hemoglobin, oxygen saturation, water content, scattering, and lipid concentration to increase the relatively low specificity of DCE-MRI. Our optical imaging system combines six frequency domain wavelengths, measured using PMT detectors with three continuous wave wavelengths measured using CCD/spectrometers. We present methods on combining the synergistic attributes of DCE-MR and NIRS for in-vivo imaging of breast cancer in three dimensions using a custom optical MR breast coil and diffusion based light modeling software, NIRFAST. We present results from phantom studies, healthy subjects, and breast cancer patients. Preliminary results show contrast recovery within 10% in phantoms and spatial resolution less than 5mm. Images from healthy subjects were recovered with properties similar to literature values and previous studies. Patient images have shown elevated total hemoglobin values and water fraction, agreeing with histology and previous results. The additional information gained from NIRS may improve the ability to distinguish between malignant and benign lesions during MR imaging. These dual modality instruments will provide complex anatomical and molecular prognostic information, and may decrease the number of biopsies, thereby improving patient care.

关键词： optical tomography breast cancer molecular imaging magnetic resonance

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A structural Connectivity Approach to Validate a Model-based Technique for the Segmentation of the Pulvinar Complex

A Structural Connectivity Approach to Validate a Model-based...

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spie conference on Medical imaging - biomedical applications in molecular, structural, and functional imaging

作者： Chakravorti, Srijata Morgan, Victoria L. Trujillo-Diaz, Paula Wirz, Raul Dawant, Benoit M. Vanderbilt Univ Dept Elect Engn & Comp Sci 221 Kirkland Hall Nashville TN 37235 USA Vanderbilt Univ Med Ctr Dept Radiol & Radiol Sci Inst Imaging Sci Nashville TN 37232 USA Vanderbilt Univ Med Ctr Dept Neurol Nashville TN USA

ISBN: (数字)9781510616462

ISBN: (纸本)9781510616462

The pulvinar of the thalamus is a higher-order thalamic nucleus that is responsible for gating information flow to the cortical regions of the brain. It is involved in several cortico-thalamocortical relay circuits and is known to be affected in a number of neurological disorders. Segmenting the pulvinar in clinically acquired images is important to support studies exploring its role in brain function. In recent years, we have proposed an active shape model method to segment multiple thalamic nuclei, including the pulvinar. The model was created by manual delineation of high resolution 7T images and the process was guided by the Morel stereotactic atlas. However, this model is based on a small library of healthy subjects, and it is important to validate the reliability of the segmentation method on a larger population of clinically acquired images. The pulvinar is known to have particularly strong white matter connections to the hippocampus, which allows us to identify the pulvinar from thalamic regions of high hippocampal structural connectivity. In this study, we obtained T1-weighted and diffusion MR data from 43 healthy volunteers using a clinical 3T MRI scanner. We applied the segmentation method to the T1-weighted images to obtain the intrathalamic nuclei, and we calculated the connectivity maps between the hippocampus and thalamus using the diffusion images. Our results show that the shape model segmentation consistently localizes the pulvinar in the region with the highest hippocampal connectivity. The proposed method can be extended to other nuclei to further validate our segmentation method.

关键词： Thalamic nuclei segmentation pulvinar MRI DTI probabilistic tractography

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Local Extraction of Extra-Axial CSF from structural MRI

Local Extraction of Extra-Axial CSF from structural MRI

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conference on Medical imaging - biomedical applications in molecular, structural, and functional imaging

作者： Deddah, Tahya Styner, Martin Prieto, Juan Univ N Carolina Dept Psychiat Chapel Hill NC 27515 USA Univ N Carolina Dept Comp Sci Chapel Hill NC 27515 USA

ISBN: (数字)9781510649484

ISBN: (纸本)9781510649484;9781510649477

The quantification of cerebrospinal fluid (CSF), specifically the extra-axial cerebrospinal fluid (EA-CSF), which is the CSF in the subarachnoid space surrounding the cortical surface of the brain, has recently been shown to play an important role in the neuropathology of autism spectrum disorder (ASD) in infants. While prior work addressed measuring the global volume of EA-CSF, there was no available tool that quantifies the local, anatomical distribution of the EA-CSF. A localized EA-CSF quantification would provide more accurate and interpretable measurements. In our recent work, we proposed such a local EA-CSF extraction by using a pipeline that combines probabilistic brain tissue segmentation, cortical surface reconstruction and streamline-based local EA-CSF quantification. Yet, that system had several shortcomings, in particular a lack of available software tools, as well as a quantification where EA-CSF portions are counted multiple times. The purpose of this article is to present a novel, graphical user interface based, publicly available software tool, called LocalEACSF, which allows the user to easily run an adapted version of this pipeline and provide a set of straightforward quality control visualizations to assess the quality of the EA-CSF quantification. This tool further adds improvements and optimizations to the prior assessment. The LocalEACSF tool allows neuroimaging labs to compute a local extraction of extra-axial CSF in their neuroimaging studies in order to investigate its role in normal and atypical brain development, without the need for extensive technical knowledge.

关键词： Cerebrospinal Fluid Extra-axial CSF Open-Source Software

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A fast reconstruction method for fluorescence molecular tomography based on improved iterated shrinkage

A fast reconstruction method for fluorescence molecular tomo...

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conference on Medical imaging 2011 - biomedical applications in molecular, structural, and functional imaging

作者： Han, Dong Tian, Jie Qin, Chenghu Zhang, Bo Liu, Kai Ma, Xibo Chinese Acad Sci Med Image Proc Grp Inst Automat Beijing 100190 Peoples R China Northeastern Univ Sino Dutch Biomed & Informat Engn Sch Shenyang 110004 Peoples R China

ISBN: (纸本)9780819485076

Fluorescence molecular tomography (FMT) has become a promising imaging modality for in vivo small animal molecular imaging, and has many successful applications. This is partly due to the wealth of the fluorescent probes. By labeling the regions of interest with fluorescent probes, FMT can achieve non-invasive investigation of the biological process by localizing the targeted probes based on certain inverse mathematical models. However, FMT is usually an illposed problem, and some form of regularization should be included to stabilize the problem, which can be considered as the a priori information of the fluorescent probe bio-distribution. When FMT is used for the early detection of tumors, an important characteristic is the sparsity of the fluorescent sources. This is because tumors are usually very small and sparse at this stage. Considering this, general sparsity-promoting Lp-norm regularization is utilized in this paper. The iterated shrinkage based reconstruction method is adopted to solve the general Lp regularization problem. However, the original iterated shrinkage method is proved to have a linear convergence rate, and a large number of iterations are needed to obtain satisfactory results. In this paper, an improved iterated shrinkage based FMT reconstruction algorithm is proposed. By using the solutions from two previous iterations to determine the current solution, the convergence rate can be greatly increased. Heterogeneous simulation experiment shows that the proposed method can obtain comparable results with greatly reduced number of iterations compared with the original iterated shrinkage based method, which makes it a practical reconstruction algorithm.

关键词： Fluorescence molecular tomography (FMT) optical molecular imaging iterated shrinkage

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IntegriSense molecular Image Sequence Classification Using Gaussian Mixture Model

IntegriSense Molecular Image Sequence Classification Using G...

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conference on Medical imaging - biomedical applications in molecular, structural and functional imaging

作者： He, Tiancheng Xue, Zhong Lu, Kongkuo Valdivia y Alvarado, Miguel Wong, Stephen T. Weill Cornell Med Coll Methodist Hosp Res Inst Dept Syst Med & Bioengn Houston TX 77030 USA N Amer Philips Briarcliff Manor NY 10510 USA

ISBN: (纸本)9780819489661

Targeted fluorescence imaging agents such as IntegriSense 680 can be used to label integrin alpha(v)beta(3) expressed in tumor cells and to distinguish tumor from normal tissues. Coupled with endomicroscopy and image-guided intervention devices, fluorescence contrast captured from the fiber-optic imaging technique can be used in a Minimally Invasive Multimodality Image Guided (MIMIG) system for on-site peripheral lung cancer diagnosis. In this work, we propose an automatic quantification approach for IntegriSense-based fluorescence endomicroscopy image sequences. First, a sliding time-window is used to calculate the histogram of the frames at a given time-point, also denoted as the IntegriSense signal. The intensity distributions of the endomicroscopy image sequences can be briefly classified into three groups: high, middle and low intensities, which might correspond to tumor, normal tissue, and background (air) tissues within the lungs, respectively. At a given time-point, the histogram calculated from the sliding time-window is fit with a Gaussian mixture model, and the average and standard deviation (std), as well as the weight of each Gaussian distribution can be identified. Finally, a threshold can be used to the weighting parameter of the high intensity group for tumor information detection. This algorithm can be used as an automatic tumor detection tool from IntegriSense-based endomicroscopy. In experiments, we validated the algorithm using 20 IntegriSense-based fluorescence endomicroscopy image sequences collected from 6 rabbit experiments, where VX2 tumor was implanted into the lung of each rabbit, and image-guided endomicroscopy was performed. The automatic classification results were compared with manual results, and high sensitivity and specificity were obtained.

关键词： IntegriSense molecular imaging Automatic classification Fluorescence microendoscope Gaussian model

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Progress in biomedical Optics and imaging - Proceedings of spie: Introduction

Progress in Biomedical Optics and Imaging - Proceedings of S...

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Medical imaging 2010 - biomedical applications in molecular, structural, and functional imaging

作者： Molthen, Robert C. Weaver, John B. Medical College of Wisconsin United States Marquette Univ. United States Zablocki Veteran Affairs Medical Ctr. United States Dartmouth Medical School United States Dartmouth Hitchcock Medical Ctr. United States Thayer School of Engineering Dartmouth MA United States Norris Cotton Cancer Ctr. Dartmouth Hitchcock Medical Ctr. United States

This PDF file contains the front matter associated with spie Proceedings Volume 7626, including the Title Page, Copyright information, Table of Contents, and the conference Committee listing. © 2010 Copyright SPI... 详细信息

ISBN: (纸本)9780819480279

关键词： Optical engineering

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