Clifton Park, NY, United States
Clifton Park, NY, United States

Kitware, Inc. is a technology company headquartered in Clifton Park, New York. The company specializes in the research and development of open-source software in the fields of computer vision, medical imaging, visualization, 3D data publishing and technical software development. In addition to software development, the company offers other products and services such as books, technical support, consulting and customized training courses. Wikipedia.

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Grant
Agency: Department of Health and Human Services | Branch: National Institutes of Health | Program: STTR | Phase: Phase II | Award Amount: 1.47M | Year: 2015

DESCRIPTION provided by applicant The overall goal of this Phase II STTR proposal is to develop a PET CT imaging tool that will help accelerate the development of effective cancer therapies by improving the utility of oncology trials using PET imaging The growing cost time and complexity of clinical trials are driving patient and pharmaceutical company demand for more objective efficient and accurate methods to assess the efficacy of therapeutic agents PET CT imaging has the potential to provide a quantitative and early assessment of drug response at a molecular level However PET CT use as a biomarker and response endpoint in clinical trials is limited Key factors impeding the incorporation of PET into clinical trials are the considerable variability in imaging methods across centers the inconsistency in quantitative measures arising from different sites and the variable and non optimal methods for image analysis In our Phase I work we developed calibrated quantitative analysis tools that directly support improved quantitative accuracy in clinical trials using PET CT imaging We combined the CT andapos pocket phantomandapos developed by Kitware with a PET scanner calibration process developed at the University of Washington UW that is based on National Institute of Standards and Technology NIST traceable calibration sources We also extended our automated algorithms to detect and measure the phantom and calculate key PET image characteristics The Phase I proof of concept study achieved its specific aims and in this Phase II submission we will develop and implement the studies and tools needed to translate our proof of concept results to use with human imaging for clinical trials The end goal of the phase II project is to complete all necessary work to market PET CT calibration and measurement phantoms and analysis services PUBLIC HEALTH RELEVANCE The goal of this project is to develop a PET CT andapos pocket phantomandapos and automated analysis software for patient specific PET CT image quality characterization which can significantly improve the accuracy of measurements in clinical trials of new cancer therapies


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 1.43M | Year: 2016

ABSTRACT:Kitware and the DIRS Lab at RIT propose an open, extensible software framework and demonstration system with automated change detection, tipping and cueing for exploitation of commercial satellite imagery and video. A small satellite revolution is underway in the venture-funded, commercial market. Our proposed open system will tap into this world, engage key providers, and evolve with them to continuously augment national assets with intelligence from commercial data. Our system will integrate our existing state-of-the art algorithms for satellite image registration, object detection, change detection and more. Our algorithms use the latest deep learning techniques, enabling rapid adaptation to new changes, objects and/or sensor characteristics using the DIRSIG simulation model. Our system will build on Kitware-developed open source frameworks for distributed processing and management of heterogeneous big data sources. It will leverage Kitware geographic visualization and analytics capabilities packaged into a modern, browser-based dynamic user interface. This demonstration system will be delivered for analyst assessment and transition into operations at Air Force, the intelligence community and commercial companies. WIth great potential for both military and commercial analytics, applications range from mapping crop damage in precision agriculture to commercial vehicle counting to adversary order of battle monitoring.BENEFIT:The primary benefit of the proposed work is the ability to leverage diverse, emerging, commercial satellite imagery and video for improved intelligence, surveillance, and reconnaissance (ISR). The proposed framework offers an efficient way to take advantage of new commercial data products, while enabling dramatic improvements in analyst efficiency and effectiveness through advanced algorithms for change detection, tipping and cueing. Additionally, the framework will benefit a variety of commercial stakeholders by making satellite data readily accessible for analysis, coupled with a comprehensive suite of state-of-the-art algorithms for the most critical exploitation problems. Satellite data can be used to monitor and analyze a multitude of factors that commercial companies can leverage for competitive advantage in various domains, such as urban planning, climate monitoring, and agriculture. Releasing both the framework and the analytics as open source will strongly encourage new and emerging companies to adopt the system, while building upon it to create a vibrant open source community for the mutual benefit of all.


Grant
Agency: Department of Health and Human Services | Branch: National Institutes of Health | Program: STTR | Phase: Phase I | Award Amount: 150.00K | Year: 2015

DESCRIPTION provided by applicant Prostate cancer PCA is the most common non skin cancer and the second leading cause of cancer death in American men with over new cases diagnosed and over PCA deaths annually in the United States Ultrasound guided biopsy is the standard of care for confirming cancer typically following elevated PSA levels however it has been estimated that up to of men require three or more biopsy sessions for diagnosis and biopsies have a high risk of hemorrhage and infection Furthermore biopsies are not sufficient for tumor delineation or characterization because they sparsely sample the entire organ Regretfully the deficiencies of biopsy have lead to over treatment of indolent disease with radical prostatectomies a drastic treatment that has significant risks of infection hemorrhage urinary incontinence and impotence We are the inventors of Acoustic Radiation Force Impulse ARFI imaging and the inventors of Shear Wave Elasticity Imaging SWEI methods We have now combined those methods into ARFI SWEI imaging sequences that define a new and novel multi parametric ultrasonic elasticity imaging system This multi parametric elasticity imaging approach provides an absolute quantitative measure of tissue stiffness at high resolution in D using ultrasound We hypothesize that synergistic diagnostic information from B mode ARFI SWEI and multi parametric MRI mpMRI e g diffusion weighted imaging and MR spectroscopy imaging enable a the sensitive and specific diagnosis of PCA and b the accurate delineation of PCA margins We propose retrospective studies on existing D B mode ARFI SWEI and mpMRI imaging datasets to test this hypothesis PUBLIC HEALTH RELEVANCE Prostate cancer is the second leading cause of cancer death in American men with over new cases and over deaths annually We have developed a novel ultrasonic elasticity imaging technique called Acoustic Radiation Force Impulse Shear Wave Elasticity Imaging ARFI SWEI that is an enhanced multi parametric version of ultrasound imaging We propose to test ARFI SWEIandapos s ability to replace invasive and risky biopsies for PCA diagnosis and focal treatment planning


Grant
Agency: Department of Health and Human Services | Branch: National Institutes of Health | Program: SBIR | Phase: Phase II | Award Amount: 1.26M | Year: 2015

DESCRIPTION provided by applicant There are several features of ultrasound imaging that make it attractive to clinicians and preclinical researchers including its relatively low cost rel time imaging capability safety and portability For example ultrasound imaging is widely used for anatomical imaging and blood flow measurements in the heart and large vessels Ultrasound however is typically not used in oncology because it has relatively poor quantitative capability with respect to tumor morphology or malignancy In our Phase I work we demonstrated that our new contrast enhanced dual frequency ultrasound technologies andquot Acoustic Angiographyandquot can capture detailed in vivo images of tissue vasculature in animal models of breast cancer and we have shown that vascular morphology is an indicator of tumor malignancy in those animal models That work built upon our prior vessel analysis research and algorithms that showed that quantifiable vascular morphology metrics from Magnetic Resonance Imaging data are reliable predictors of tumor malignancy and response to therapy in humans In the proposed Phase II work we will conduct the research necessary for the commercialization of our acoustic angiography system for preclinical research The team has been expanded to include SonoVol the manufacturer of ultrasound systems for preclinical research We will research and evaluate methods to ensure that our commercial system will be easy to use and consistently produce effective measures of tumor malignancy and response to therapy We will validate the product in a blinded study of breast cancer treatment efficacy in support of a preclinical trial i e the targeted commercial use for the proposed system PUBLIC HEALTH RELEVANCE Ultrasound is a relatively safe low cost portable real time imaging device however its images are relatively poor for detecting and diagnosing tumors We propose that ultrasound can be extended to tumor assessment via a commercial system that combines new micro bubble contrast agents that enhance the appearance of vessels within ultrasound images with an ultrasound imaging probe that we developed for capturing contrast enhanced ultrasound images and with novel vascular image analysis algorithms that we have also developed In Phase I we showed that our system is viable In the proposed Phase II work we will conduct the research and development needed to commercialize that system for assessing tumor malignancy and response to treatment in support of preclinical trials of experimental cancer therapies


Grant
Agency: Department of Health and Human Services | Branch: National Institutes of Health | Program: SBIR | Phase: Phase II | Award Amount: 1.47M | Year: 2015

DESCRIPTION provided by applicant Surgical simulators are powerful tools that assist in providing advanced training for complex procedures and objective skills assessment They accelerate the training of residents without a penalty in morbidity and mortality while improving skills where patient outcome clearly correlates with surgical experience Fundamentals of laparoscopic surgery FLS is a comprehensive program that was developed by the Society of American Gastrointestinal and Endoscopic Surgeons SAGES to teach and evaluate the cognitive and psychomotor aspects unique to laparoscopic surgery The program uses a mechanical training toolbox for skill assessment The major drawback of the mechanical toolbox is that the process of assessment is tedious time consuming and costly requiring significant manual labor In addition the test materials must be replaced constantly after they are cut or sutured To overcome these drawbacks a virtual basic laparoscopic skill trainer VBLaST has been developed at Rensselaer Polytechnic Institute RPI over the past four years Preliminary validation results show that the VBLaST system is significantly realistic in portraying the FLS tasks The VBLaST prototype was designed to facilitate the development of the software platform and to serve as a validation platform for the virtual FLS concept However it does not include the two new tasks camera navigation and cannulation that have been proposed for inclusion in the most recent FLS has limited capability of computing performance scores based on the FLS metrics and has experimental hardware for interfacing with the software system with inadequate haptic force fidelity The overall goal of this project is to work with th FLS committee and address these three major limitations of the VBLaST system to develop a robust reliable and effective virtual FLS system and conduct clinical validation studies in preparation for commercialization Two small businesses Kitware and SimQuest with a strong track record of cutting edge software service and simulation technology will team with RPI and the FLS committee to develop and market this novel product PUBLIC HEALTH RELEVANCE Minimally invasive surgery MIS such as laparoscopic surgery has revolutionized general surgery Training surgical residents in these procedures without a penalty in morbidity and mortality is critical For this surgical simulators provide powerful tools This project aims to accelerate laparoscopic surgical education and evaluation by developing a robust virtual simulator that will be widely available This will translate to fewe operating room errors reduced patient morbidity and improved patient outcomes


Grant
Agency: Department of Health and Human Services | Branch: National Institutes of Health | Program: SBIR | Phase: Phase II | Award Amount: 1.27M | Year: 2015

DESCRIPTION provided by applicant Nearly million Americans suffer traumatic brain injury TBI annually which constitutes a significant US medical health concern Although neuroimaging plays an important role in pathology localization and surgical planning TBI clinical care does not currently take full advantage of neuroimaging computational technology We propose to develop validate and commercialize computational algorithms based on our methods for image segmentation and registration These methods can accommodate the presence of large pathologies in TBI cases can yield quantitative measures from chronic and acute TBI data for research into characterizing injury monitoring pathology evolution informing patient prognosis and can aid clinicians in optimizing TBI patient care workflows We will accomplish our goal during the proposed Phase II effort by building upon our Phase I successes Featured in conference and journal publications during Phase I we devised a novel andquot low rank sparseandquot method for registering brain MRI scans from TBI patients with large pathologies to healthy brain atlases enabling more accurate identification and quantification of anatomic changes In conjunction with our foundational andquot geometric metamorphosisandquot work into quantifying lesion infiltration and recession over time our set of methods now address the major hurdles associated with TBI patient understanding Under this Phase II STTR proposal we will specifically focus on extending our computational methods for multimodal neuroimaging of TBI data processing We will provide finite element models created over a range of clinical cases of mild to severe TBI determine refined measures of patient change from longitudinal registrations integrate those methods into local and cloud based environments that support academic and commercial use and validate the complete commercial system using extensive TBI data collections including neuropsychological motor cognitive and behavioral outcome measures in a customer oriented study PUBLIC HEALTH RELEVANCE In the US approximately million individuals are victims of traumatic brain injury TBI annually with many requiring surgical intervention or long term care Initial assessment and treatment of TBI have appropriately become major US healthcare initiatives yet the effects of TBI can be particularly challenging for the patient and for healthcre systems Neuroimaging data analysis methods however are presently not properly employed to address this challenge Herein we propose to refine apply and test tools initiated under our Phase I STTR to perform the combined efficient analysis of multimodal neuroimage data sets for use in assessing the extent of brain injury its change over time and its effective treatment


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 1.12M | Year: 2014

ABSTRACT: ISR analysts are faced with severe challenges due to the volume of data, the speed at which it arrives, and the variety in sensor signatures and scene content. FMV and WAMI analysts face a fire hose of pixel data. Kitware has developed significant capabilities for ISR video exploitation, with a focus on understanding the function of objects and regions in the scene. These function-based exploitation tools can provide significant help in the automation of both real-time and forensic ISR video exploitation. We plan to leverage and enhance these capabilities to help further advance the state of the art in exploitation technologies. The development and transition of these technologies to operational use could significantly improve the quality of intelligence derived from video streams as well as reduce the resources, both time and personnel, necessary to extract critical intelligence. In terms of commercial opportunities, there are large system integrators who provide FMV exploitation workstations, including Leidos"AIMES system and General Dynamics MAAS systems to the government. Kitware has already received a Phase III SBIR to start transition of our FMV capabilities into the AIMES system. BENEFIT: The primary benefit of the proposed work is a solution to the ISR analyst data-workload challenge. ISR analysts are faced with severe challenges due to the volume of data, the speed at which it arrives, and the variety in sensor signatures and scene content. There are not enoughWAMI analysts to view and exploit all the pixels currently produced by the sensor, even in forensic exploitation. The proposed technology will benefit military analysts on the ground who are responsible for gathering, analyzing, and acting on intelligence, a critical component of almost every mission, though the use of automatic, function-based object detection. The proposed technology will reduce analyst workload while simultaneously increasing the amount of data that can be analyzed, improving security and intelligence gathering. Additionally, there are commercial applications of the technology that provide public benefit and commercial opportunities. These opportunities include the integration of the technology with unmanned aerial systems (UAS) in the commercial sector to benefit precision agriculture; security and monitoring for public safety; exploration, aid efforts, and disaster recovery; and environmental monitoring.


Grant
Agency: Department of Health and Human Services | Branch: National Institutes of Health | Program: STTR | Phase: Phase II | Award Amount: 743.98K | Year: 2016

DESCRIPTION provided by applicant Craniosynostosis is the premature fusion of cranial sutures and occurs in approximately one in live births It results in cranial malformation that can lead to elevated intra cranial pressure brain growth impairment and developmental deficiency The most common treatment option for craniosynostosis is surgery Currently surgical treatment planning of craniosynostosis is mostly qualitative subjective and irreproducible guided mainly by the surgeonandapos s experience While virtual planning has been successfully introduced in niche areas of craniofacial surgery such as corrective jaw surgery applications clinical tools that provide intuitive and reproducible evaluation of cranial morphology to guide cranial vault remodeling do not yet exist To cover this gap in current clinical practice we are developing a personalized preoperative planning for infants with craniosynostosis that allows for decreased operative time and blood loss thereby reducing perioperative morbidity but also facilitates an optimized and more durable long term outcome In our Phase I project we designed and developed the first prototype of iCSPlan an intelligent surgical graphic interface for optimal planning of cranial vault remodeling Using iCSPlan we enabled quantitative surgical outcome analysis and compared pre and post operative images from patients with different types of craniosynostosis to determine the change in cranial malformations using specific clinical reconstructive techniques and compared with our simulated results Experimental results showed that our method gives consistent evaluation with the observed clinical outcome Results also indicated that with quantitative assistance less invasive surgery can be performed The Phase I proof of concept study successfully achieved its aims and the results obtained have provided a much needed understanding of the quantitative challenges and opportunities in cranial remodeling In this Phase II submission we will refine and implement the studies and tools needed to translate our proof of concept results for multi center clinical trials We will extend the iCSPlan prototype to incorporate a model of th normal brain growth integrate quantitative guidance for bone cutting and replacement and develop a radiation free post operative outcome assessment module A clinical feasibility study will be conducted at Childrenandapos s National Health System In summary our software technology enables intuitive and precise surgical planning to guide surgeons to obtain optimal and reproducible post operative outcomes in the treatment of craniosynostosis The technology allows quantitative surgical outcome analysis to determine the efficacy and durability of specific reconstructive technique By integrating surgical planning and evaluation iCSPlan will enable more efficient surgery with improved patient outcome At the successful completion of these aims we will have completed the groundwork needed to launch the commercialization effort PUBLIC HEALTH RELEVANCE Craniosynostosis is the premature fusion of cranial sutures and occurs in approximately one in live births It results in cranial malformation that can lead to elevated intra cranial pressure brain growth impairment and developmental deficiency The most common treatment option for craniosynostosis is surgery The standard techniques for surgical treatment of craniosynostosis are qualitative subjective and guided mainly by surgeonandapos s experience For precise efficient and reproducible outcomes we will create and validate a software technology that enables optimal surgical guidance for craniosynostosis and quantitative evaluation of outcomes using image analysis techniques


Grant
Agency: Department of Energy | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 1000.00K | Year: 2016

The DOE High Energy Physics Accelerator Technology subprogram supports the development of new particle accelerators to enable discovery science in high‐energy physics, and through accelerator stewardship works to make accelerator technology widely available to science and industry. The DOE High Energy Physics (HEP) program was created to understand how our universe works at its most fundamental level. Breakthroughs resulting from the program have broad applicability in areas as diverse as science, medicine, industry, and homeland security. Yet despite the recognized importance of accelerators, creating advances in this field has been hindered by the lack of effective computational tools. Designing new systems is extremely complex, and the current workflow is difficult to use, prone to error, and does not effectively use high performance computing and other resources. A customizable software application based on the Computational Model Builder (CMB) for accelerator modeling and simulation is being developed to address the needs of multi‐physics workflows. CMB is an open‐source framework designed to support the creation of customized applications for numerical simulations. CMB will be extended for advanced accelerator design, simulation, and optimization by supporting multi‐physics workflows, enabling simple management of high performance computing resources, and tight integration across pre‐processing, simulation, and post‐processing tasks using scalable computing architectures. Phase I focused on providing an end‐to‐end application for defining electromagnetic simulations based on the Omega3P simulation module, one of six multi‐physics modules provided by ACE3P (Advanced Computational Electromagnetics 3D Parallel) analysis suite. The application was successfully executed on the NERSC HPC systems, including final post‐processing of the results. In Phase II we propose extending this work to support all of the ACE3P modules resulting in an end user system capable of fully supporting multi‐physics simulations for high‐energy accelerator systems as well as improving its ease of use. In addition, this work will improve the utilization of DOE’s HPC resources by incorporating in situ visualization techniques into the simulation environment. Particle accelerators are essential to scientific discovery as they advance our understanding of the fundamental properties of matter, energy, space, and time. Opportunities exist to design new accelerators, which can promote innovation and develop new products and services. Because the system developed here is being released as open‐source software, the resulting work will facilitate the creation of extended research communities, and provide a commercialization strategy based on services and customization. Keywords: High Energy Simulation, Multi‐Physics Simulation, HPC Job Management, Asset/Artifact Tracking, Visualization, Post‐Processing, Pre‐Processing


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 749.86K | Year: 2015

ABSTRACT: The structural design community regard materials models as fixed inputs to a finite element-based design process, using materials lookup tables to provide data from experimental and/or simulations performed by others. However the accuracy of multiscale materials modeling has improved significantly over the last few decades, yet these simulations have seen little application in structural design. The project will change the paradigm by which structural design tools in finite element modeling operate by providing an interface to materials simulations, extending them to make use of simulation data, and adding support for location specific properties in single parts. These tools will enable designs that make use of materials science and engineering (processing, microstructure and performance) in the finite element model, independently triggering simulations as required, providing a smart caching strategy, to facilitate pervasive solutions that accommodate a range of structural materials. These tools will enable more efficient designs that leverage the latest advances in materials engineering, giving designers the ability to seamlessly draw on the most accurate information at every stage of design, validation and production. Integrated approaches using existing commercial tools will result structural designs making the best use of material properties. BENEFIT: The proposed work will offer commercial applications across many sectors, including manufacturers of aerospace components, medical devices, and automotive parts. Currently, these manufacturers are limited by their ability to design precision parts, resulting in inefficient design and use of expensive techniques for entire parts. The proposed work directly addresses this issue, and would result in a paradigm shift, from whole-part design based on standard material properties tables to the use of actual variables in dynamic, active material design The open-source framework will enable designers to move beyond materials as fixed design inputs to active variables that can be manipulated as part of the structural design process, ultimately leading to structural design driving the materials requirements. With the ability to explore material properties and compositions, and adjust parameters to accommodate specific requirements, designers will able to use these insights to improve designs. Examples of such modifications are increases to part life, or reductions in weight without compromising the structural integrity of the part.

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