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VAMPIRE® fundus image analysis algorithms: Validation and diagnostic relevance in hypertensive cats

VETERINARY OPHTHALMOLOGY 2019年第6期22卷 819-827页

作者： Cirla, Alessandro Drigo, Michele Ballerini, Lucia Trucco, Emanuele Barsotti, Giovanni San Marco Vet Clin & Lab Dept Ophthalmol Veggiano Italy Univ Pisa Dept Vet Sci Pisa Italy Univ Padua Dept Anim Med Prod & Hlth Legnaro Italy Univ Dundee Sch Comp Dundee Scotland

Objectives To validate a retinal imaging software named VAMPIRE (R) (Vascular Assay and Measurement Platform for images of the Retina) in feline patients and test the clinical utility in hypertensive cats. Animals studied One hundred and five healthy cats were enrolled. They represented the normal dataset used in the validation (group 1). Forty-three hypertensive cats with no noticeable retinal abnormalities were enrolled for the clinical validity of the software (group 2). Procedures Eleven points (4 veins, 4 arteries, and 3 arterial bifurcations) were measured for each digital image. Repeatability and reproducibility of measurements were assessed using two independent operators. Data were statistically analyzed by the Mann-Whiney and Tukey box plot. Significance was considered when P < 0.05. Results Two hundred and ten retinal images were analyzed for a total of 2310 measurements. Total mean was 9.1 and 6.1 pixels for veins and arteries, respectively. First, second, and third arteriolar bifurcations angles were 73.6 degrees, 76.9 degrees, and 85.4 degrees, respectively. A comparison between groups 1 and 2 showed a statistically significant reduction in arteriolar diameter (mean 3.3 pixels) and branch angle (55 degrees, 47.8 degrees and 59.9 degrees) associated with increasing vein diameter (mean 24.15 pixels). Conclusions Current image analysis techniques used in human medicine were investigated in terms of extending their use to veterinary medicine. The VAMPIRE (R) algorithm proved useful for an objective diagnosis of retinal vasculature changes secondary to systemic hypertension in cats, and could be an additional diagnostic test for feline systemic hypertension.

关键词： cat fundus image analysis algorithms retinal photography software validation systemic hypertension

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FAST algorithms FOR 2 MAXIMAL DISTANCE PROBLEMS WITH APPLICATIONS TO image-analysis

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PATTERN RECOGNITION 1980年第1期12卷 35-40页

作者： FISCHLER, MA SRI International Artificial Intelligence Center Menlo Park California 94025 U.S.A

This paper presents two new linear complexity algorithms for finding maximal length “paths” in point sets and trees (with an extension to graphs) and indicates applications of these techniques to problems in image a... 详细信息

关键词： Path length Diameter image analysis algorithms Shape analysis

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The role of 4D flow MRI in deep vein thrombosis research

Meta-Radiology

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Meta-Radiology 2025年第1期3卷

作者： Li, Meizhi Wu, Shangjie Liang, Xiao Gao, Chuanqi Hu, Muhua Chen, Zhu He, Pei Jia, Tingting Xiong, Li Department of Pulmonary and Critical Care Medicine The Second Xiangya Hospital of Central South University Changsha China Department of Medical Administration The Second Xiangya Hospital of Central South University Changsha China Clinical Medical Research Center for Pulmonary and Critical Care Medicine in Hunan Province Changsha China Hunan Research Centre for Evidence-based Medicine The Second Xiangya Hospital of Central South University Changsha China Department of Biomedical Engineering School of Basic Medical Science Central South University Changsha China Department of Radiology Second Xiangya Hospital Central South University Changsha China Hunan Key Laboratory for Super Microstructure and Ultrafast Process School of Physics and Electronics Central South University Changsha China National Engineering Research Center for Medical Big Data Application Technology and Big Data Institute Central South University Changsha China General Surgery Department of Second Xiangya Hospital Central South University Changsha China General Surgery Intelligent Healthcare Division of Clinical Medical Research Center of Hunan Province Changsha China

Four-dimensional (4D) flow Magnetic Resonance Imaging (MRI) technology has emerged as a valuable tool in angiography, offering unique insights into the hemodynamics and flow patterns. This research aims to explore the role of 4D flow MRI in advancing our understanding of Deep Vein Thrombosis (DVT), covering its applications in diagnosing, characterizing and mechanism of DVT, as well as its potential for guiding treatment strategies. The qualitative and quantitative information provided by 4D flow MRI enables a comprehensive assessment of blood flow in different vascular regions, shedding light on the relationship between hemodynamic changes and the onset and progression of vascular diseases. Nevertheless, most quantitative research findings for 4D hemodynamic indicators are lacking, and their use is mainly limited to examining arterial conditions. More exploration will be necessary to determine their applicability in studying venous vessels. © 2025 The Authors

关键词： 4D flow MRI Deep vein thrombosis image analysis algorithms Noninvasive imaging

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PARALLEL GUESSING - A STRATEGY FOR HIGH-SPEED COMPUTATION

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PATTERN RECOGNITION 1987年第2期20卷 257-263页

作者： FISCHLER, MA FIRSCHEIN, O Artificial Intelligence Center SRI International 33 Ravenswood Avenue Menlo Park CA 94025 U.S.A

Conventional approaches to speeding up image understanding computation involving conventional serial algorithms attempt to decompose these algorithms into portions that can be computed in parallel. Because many classes of algorithms do not readily decompose, one seeks some other basis for parallelism. In this paper we argue that “parallel guessing” for image analysis is a useful approach, and that several recent scene analysis algorithms are based on this concept. Problems suitable for this approach have the characteristic that either “distance” from a true solution, or the correctness of a guess, can be readily checked. We review image analysis algorithms that have a parallel guessing or randomness flavor.

关键词： Parallel processing image analysis algorithms image processing Architectures

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Micro-CT imaging and structural analysis of glomeruli in a model of Adriamycin-induced nephropathy

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AMERICAN JOURNAL OF PHYSIOLOGY-RENAL PHYSIOLOGY 2019年第1期316卷 F76-F89页

作者： Xie, Luke Koukos, Georgios Barck, Kai Foreman, Oded Lee, Wyne P. Brendza, Robert Eastham-Anderson, Jeff McKenzie, Brent S. Peterson, Andrew Carano, Richard A. D. Genentech Inc Biomed Imaging 1 DNA Way San Francisco CA 94080 USA Genentech Inc Mol Biol San Francisco CA 94080 USA Genentech Inc Pathol San Francisco CA 94080 USA Genentech Inc Translat Immunol San Francisco CA 94080 USA Genentech Inc Neurosci San Francisco CA 94080 USA

Glomeruli number and size are important for determining the pathogenesis of glomerular disease, chronic kidney disease, and hypertension. Moreover, renal injury can occur in specific cortical layers and alter glomerular spatial distribution. In this study, we present a comprehensive structural analysis of glomeruli in a model of Adriamycin (doxorubicin) nephropathy. Glomeruli are imaged (micro-CT at 10 x 10 x 10 mu m(3) ) in kidney specimens from C57131/6 mouse cohorts: control treated with saline (n = 9) and Adriamycin treated with 20 mg/kg Adriamycin (n = 7). Several indices were examined, including glomerular number, glomerular volume, glomerular volume heterogeneity, and spatial density at each glomerulus and in each cortical layer (superficial, midcortical, and juxtamedullary). In the Adriamycin-treated animals. glomerular number decreased significantly in the left kidney [control: 8,298 +/- 221. Adriamycin: 6,781 +/- 630 (mean +/- SE)] and right kidney (control: 7,317 +/- 367, Adriamycin: 5,522 +/- 508), and glomerular volume heterogeneity increased significantly in the left kidney (control: 0.642 +/- 0.015, Adriamycin: 0.786 +/- 0.018) and right kidney (control: 0.739 +/- 0.016, Adriamycin: 0.937 +/- 0.023). Glomerular spatial density was not affected. Glomerular volume heterogeneity increased significantly in the superficial and midcortical layers of the Adriamycin cohort. Adriamycin did not affect glomerular volume or density metrics in the juxtamedullary region, suggesting a compensatory mechanism of juxtamedullary glomeruli to injury in the outer cortical layers. Left/right asymmetry was observed in kidney size and various glomeruli metrics. The methods presented here can be used to evaluate renal disease models with subtle changes in glomerular endowment locally or across the entire kidney, and they provide an imaging tool to investigate diverse interventions and therapeutic drugs.

关键词： Adriamycin nephropathy glomerular spatial density glomeruli structural analysis image analysis algorithms left-right asymmetry micro-CT superficial midcortical and juxtamedullary kidney layers volume heterogeneity

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A REGION-BASED FORMALISM FOR PICTURE-PROCESSING

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PATTERN RECOGNITION 1981年第6期13卷 399-416页

作者： PEACOCKE, R MYLOPOULOS, J UNIV TORONTO DEPT DIVIN TORONTO M5S 1A7 ONTARIO CANADA

A set of structures and operations is proposed in terms of which picture processing algorithms can be expressed. The rectangular array model which has traditionally been used for this purpose is discussed and certain weaknesses in it are revealed. The structures and operations which comprise the formalism are described. They are based on the concept of a region. As an example an algorithm has been taken from the literature and is described using the formalism.

关键词： Pictorial structure image analysis algorithms Programming language

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Identification of Citrus Huanglongbing Disease at the Pre-Symptomatic Stage Using Polarized Imaging Technique

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IFAC-PapersOnLine 2016年第16期49卷 110-115页

作者： Pourreza, Alireza Lee, Won Suk Etxeberria, Ed Zhang, Yao Kearney Agricultural Center University of California Cooperative Extension ParlierCA93648 United States Department of Agricultural and Biological Engineering University of Florida GainesvilleFL32603 United States Department of Horticultural Sciences University of Florida/IFAS Citrus Research and Education Center Lake AlfredFL33850 United States Key Laboratory of Modern Precision Agriculture System Integration Research Ministry of Education China Agricultural University Beijing100083 China

Huanglongbing (HLB), also known as yellow shoot or citrus greening, is a devastating disease, associated with ‘Candidatus Liberibacter asiaticus (CLas).’ Unfortunately, there is no effective cure for this disease, and since a tree is infected, it will eventually die. HLB has negatively affected citrus industries in many countries in Africa, Asia, and South America. In 2005, HLB was confirmed in a groove in South Florida, and after a few years, the entire state of Florida got infected. Timely detection and removal of HLB-affected trees are substantially necessary for managing the disease. Accumulation of starch that appears as yellow/light-green islands on the citrus leaf is known as an early diagnostic symptom of HLB. A polarized imaging system was used to follow the hyper-accumulation of starch in leaves of graft-inoculated citrus plants. Time-lapse images of citrus leaves were acquired in a weekly manner after plants were grafted with a disk from another HLB-affected leaf to follow the variation in the images’ gray values at different locations on a leaf. An image analysis algorithm was developed to highlight the regions of citrus leaf samples with an increase in average gray value as an indication of starch accumulation in the pre-symptomatic stage. The proposed method was able to detect successfully any local increase in the image gray values which associates with hyper-accumulation of starch, and consequently, the existence of CLas. © 2016

关键词： image analysis Bacteria Diagnosis Forestry Imaging techniques Plants (botany) Polarization Starch Citrus greening Citrus industries Disease diagnosis Huanglongbing(HLB) image analysis algorithms Sensing Starch accumulation Time lapse images

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Automated cell lineage tracing in Caenorhabditis elegans

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PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 2006年第8期103卷 2707-2712页

作者： Bao, ZR Murray, JI Boyle, T Ooi, SL Sandel, MJ Waterston, RH Univ Washington Dept Genome Sci Seattle WA 98195 USA Fred Hutchinson Canc Res Ctr Div Basic Sci Seattle WA 98105 USA

The invariant cell lineage and cell fate of Caenorhabditis elegans provide a unique opportunity to decode the molecular mechanisms of animal development. To exploit this opportunity, we have developed a system for automated cell lineage tracing during C elegans embryogenesis, based on 3D, time-lapse imaging and automated image analysis, Using ubiquitously expressed histone-GFP fusion protein to label cells/nuclei and a confocal microscope, the imaging protocol captures embryogenesis at high spatial (31 planes at 1 mu m apart) and temporal (every minute) resolution without apparent effect! on development. A set of image analysis algorithms then automatically recognizes cells at each time point, tracks cell movements, divisions and deaths over time and assigns cell identities based on the canonical naming scheme. Starting from the four-cell stage (or earlier), our software, named STARRYNITE, can trace the lineage up to the 350-cell stage in 25 min on a desktop computer. The few errors of automated lineaging can then be corrected in a few hours with a graphic interface that allows easy navigation of the images and the reported lineage tree. The system can be used to characterize lineage phenotypes of genes and/or extended to determine gene expression patterns in a living embryo at the single-cell level. We envision that this automation will make it practical to systematically decipher the developmental genes and pathways encoded in the genome of C elegans.

关键词： embryogenesis imaging image analysis algorithms

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Autonomous Robotic System Based Environmental Assessment and Dengue Hot-spot Identification

Autonomous Robotic System Based Environmental Assessment and...

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IEEE International Conference on Environment and Electrical Engineering (EEEIC) / IEEE Industrial and Commercial Power Systems Europe (ICPS Europe)

作者： Sreeram, Sudarshan Shanmugam, Lokesh Vidya Mandir Senior Secondary Sch Madras 600004 Tamil Nadu India Inov Robot Pvt Ltd Madras 600054 Tamil Nadu India

ISBN: (纸本)9781538651865

Robotic systems have a tremendous influence on real-world applications as well as the actions and decisions of humans. It is one of the key driving forces towards advancements in the field of technology. With an everlasting desire to master this, humans have made one major compromise: unmonitored depletion of Earth's invaluable resources and uncontrolled accumulation of waste. Furthermore, this so-called progress towards a technologically advanced world has paved the way to create a complex environment that poses several risks to human health. One such risk is caused due to the stagnation of contaminated water which serves as a breeding ground for insects such as mosquitoes and houseflies and causes a plethora of diseases. As a result, mosquito-borne diseases are on the rise in countries such as India, Sri Lanka, Thailand, Cambodia, and Brazil. These diseases are detrimental to the health of the country's population. Dengue, a mosquito-borne disease, is the fastest spreading and most critical. Therefore, the challenge at hand is to develop a robotic system which is efficient in locating " dengue hot-spots" while being complementary to the environment, i.e. fewer emissions, zero greenhouse gases. Current methods of dealing with this challenge require a lot of resources and do not yield expected results. Our design methodology, referred to as EMBED-X, offers a systematic approach that is backed up by protocols which support intelligent and pro-active monitoring of the environment. The robotic system is to be semiautonomous and remotely connected to a control station for constant data analysis. The aim is to identify objects such as coconut shells, rubber tires, and plastic containers that have the potential for retaining stagnant water. To identify these objects, image analysis algorithms are applied on the images captured by the autonomous robot during the surveillance of a given area. Our image analysis algorithm has an accuracy of 66.7% and is continually being imp

关键词： EMBED-X Systematic Approach image analysis algorithms Design Methodology Mosquito-borne diseases

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Performance of mid infrared spectroscopy in skin cancer cell type identification 15

Performance of mid infrared spectroscopy in skin cancer cell...

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Conference on Optical Biopsy XV - Toward Real-Time Spectroscopic Imaging and Diagnosis

作者： Kastl, Lena Kemper, Bjoern Lloyd, Gavin R. Nallala, Jayakrupakar Stone, Nick Naranjo, Valery Penaranda, Francisco Schnekenburger, Jurgen Univ Munster Biomed Technol Ctr Mendelstr 17 D-48149 Munster Germany Gloucestershire Hosp NHS Fdn Trust Biophoton Res Unit Gloucester England Exeter Univ Dept Phys Exeter Devon England Univ Politecn Valencia Inst Int Invest Bioingn & Tecnol Orientada Ser Hu Valencia Spain

ISBN: (纸本)9781510605619;9781510605626

Marker free optical spectroscopy is a powerful tool for the rapid inspection of pathologically suspicious skin lesions and the non-invasive detection of early skin tumors. This goal can be reached by the combination of signal localization and the spectroscopical detection of chemical cell signatures. We here present the development and application of mid infrared spectroscopy (midIR) for the analysis of skin tumor cell types and three dimensional tissue phantoms towards the application of midIR spectroscopy for fast and reliable skin diagnostics. We developed standardized in vitro skin systems with increasing complexity, from single skin cell types as fibroblasts, keratinocytes and melanoma cells, to mixtures of these and finally three dimensional skin cancer phantoms. The cell systems were characterized with different systems in the midIR range up to 12 mu m. The analysis of the spectra by novel data processing algorithms demonstrated the clear separation of all cell types, especially melanoma cells. Special attention and algorithm training was required for closely related mesenchymal cell types as dedifferentiated melanoma cells and fibroblasts. Proof of concept experiments with mixtures of in vivo fluorescence labelled skin cell types allowed the test of the new algorithms performance for the identification of specific cell types. The intense training of the software systems with various samples resulted in a increased sensitivity and specificity of the combined midIR and software system. These data highlight the potential of midIR spectroscopy as sensitive and specific future optical biopsy technology.

关键词： mid infrared spectroscopy skin cancer three dimensional skin phantoms image analysis algorithms

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