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Influence of deep learning-based super-resolution reconstruction on Agatston score

EUROPEAN RADIOLOGY 2025年 1-11页

作者： Morikawa, Tomoro Tanabe, Yuki Suekuni, Hiroshi Fukuyama, Naoki Toshimori, Wataru Toritani, Hidetaka Sawada, Shun Matsuda, Takuya Nakano, Shota Kido, Teruhito Ehime Univ Grad Sch Med Dept Radiol Toon Japan Canon Med Syst Corp Otawara Japan

Objective To evaluate the impact of deep learning-based super-resolution reconstruction (DLSRR) on image quality and Agatston score. Methods Consecutive patients who underwent cardiac CT, including unenhanced CT for Agatston scoring, were enrolled. Four types of non-contrast CT images were reconstructed using filtered back projection (FBP) and three strengths of DLSRR. image quality was assessed by measuring image noise, signal-to-noise ratio (SNR) of the aorta, contrast-to-noise ratio (CNR), and edge rise slope (ERS) of coronary artery calcium (CAC). Agatston score and CAC volume were also measured. These results were compared among the four CT datasets. Patients were categorized into four risk levels based on the Coronary Artery Calcium Data and Reporting System (CAC-DRS), and the concordance rate between FBP and DLSRR classifications was evaluated. Results For the 111 patients enrolled, DLSRR significantly reduced image noise (p < 0.001) and improved SNR and CNR (p < 0.001), with stronger effects at higher DLSRR strengths (p < 0.01). ERS was significantly enhanced using DLSRR compared with FBP (p < 0.001), whereas there was no significant difference among the three strengths of DLSRR (p = 0.90-0.98). Agatston score and CAC volume were not significantly affected by DLSRR (p = 0.952 and 0.901, respectively). The concordance rate of CAC-DRS classification between FBP and DLSRR was 93%. Conclusion DLSRR significantly improves image quality by reducing noise and enhancing sharpness without significantly altering Agatston scores or CAC volumes. The concordance rate of CAC-DRS classification with FBP was high, although some reclassifications were observed. Key Points Question The utility of deep learning-based super-resolution reconstruction (DLSRR) in coronary CT angiography is well known, but its impact on the Agatston score remains unclear. Findings DLSRR significantly improved image quality without altering the Agatston scores, but some reclassifications of Coronary

关键词： Cardiac imaging techniques Multidetector computed tomography Deep learning Coronary artery disease image processing, computer-assisted

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Deep learning reconstruction for detection of liver lesions at standard-dose and reduced-dose abdominal CT

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EUROPEAN RADIOLOGY 2025年 1-10页

作者： Njolstad, Tormund H. Jensen, Kristin Andersen, Hilde K. Berstad, Audun E. Hagen, Gaute Johansen, Cathrine K. Oye, Kjetil Glittum, Jan Dybwad, Anniken Thingstad, Emma Guren, Marianne G. Dormagen, Johann Baptist Schulz, Anselm Haukeland Hosp Dept Radiol Bergen Norway Oslo Univ Hosp Dept Phys & Computat Radiol Oslo Norway Oslo Univ Hosp Div Radiol & Nucl Med Oslo Norway Univ Oslo Inst Clin Med Oslo Norway Oslo Univ Hosp Dept Oncol Oslo Norway

Objectives Deep learning reconstruction (DLR) has shown promising image denoising ability, but its radiation dose reduction potential remains unknown. The objective of this study was to investigate the diagnostic performance of DLR compared to iterative reconstruction (IR) in the detection of liver lesions at standard-dose and reduced-dose CT. Materials and methods Participants with known liver metastases from gastrointestinal and pancreatic adenocarcinoma were prospectively included from routine follow-up (October 2020 to March 2022). Participants received standard-dose CT and two additional reduced-dose scans during the same contrast administration, each reconstructed with IR and high-strength DLR. Two radiologists evaluated images for the presence of liver lesions, and a third established a reference standard. Diagnostic performance was compared using McNemar's test and mixed effects logistic regression. Results Forty-four participants (mean age 66 years +/- 11 [standard deviation], 28 men) were evaluated with 348 included liver lesions <= 20 mm (297 metastases, 51 benign;mean size 9.1 +/- 4.3 mm). Mean volume CT dose index was 14.2, 7.8 mGy, and 5.1 mGy. Between algorithms, no significant difference in lesion detection was observed within dose levels. Detection of 233 lesions <= 10 mm was deteriorated with lower dose levels despite DLR denoising, with 185 detected at standard-dose IR (79.4%;95% CI: 73.5-84.3) vs 128 at medium-dose DLR (54.9%;95% CI: 48.3-61.4;p < 0.001) and 105 at low-dose DLR (45.1%;95% CI: 38.6-51.7;p < 0.001). Conclusion Diagnostic performance for liver lesion detection was comparable between algorithms. When the detection of smaller lesions is important, DLR did not facilitate substantial dose reduction.

关键词： Deep learning image processing, computer-assisted Liver Multidetector computed tomography

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Electrophoresis gel image processing and analysis using the KODAK 1D software

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BIOTECHNIQUES 2001年第6期30卷 1316-+页

作者： Pizzonia, J Eastman Kodak Co Sci Imaging Syst New Haven CT 06511 USA

The present article reports on the performance of the KODAK 1D image Analysis Software for the acquisition of information from electrophoresis experiments and highlights the utility of several mathematical functions for subsequent image processing, analysis, and presentation. Digital images of Coomassie(R)-stained polyacrylamide protein gels containing molecular weight standards and ethidium bromide stained agarose gels containing DNA mass standards are acquired using the KODAK Electrophoresis Documentation and Analysis System 290 (EDAS 290). The KODAK ID software is used to optimize lane and band identification using features such as isomolecular weight lines. Mathematical functions for mass standard representation are presented, and two methods for estimation of unknown band mass are compared. Given the progressive transition of electrophoresis data acquisition and daily reporting in peer-reviewed journals to digital formats ranging from 8-bit systems such as EDAS 290 to more expensive 16-bit systems, the utility of algorithms such as Gaussian modeling, which can correct geometric aberrations such as clipping due to signal saturation common at lower bit depth levels, is discussed. Finally, image-processing tools that can facilitate image preparation for presentation are demonstrated.

关键词： Algorithms Analog-Digital Conversion Animals Coloring Agents Data Display DNA/analysis Electrophoresis, Agar Gel Electrophoresis, Polyacrylamide Gel Ethidium Humans image processing, computer-assisted Information Storage and Retrieval Molecular Weight Nonlinear Dynamics Normal Distribution Proteins/analysis Reference Standards Regression Analysis Rosaniline Dyes Software Staining and Labeling Staining and Labeling

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Multidimensional Processes In Italy, biomedical signal and image processing embraces a multiparametric, multimodal, multiscale paradigm

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IEEE PULSE 2015年第4期6卷 44-49页

作者： Bianchi, Anna M. Baselli, Giuseppe Babiloni, Fabio Rizzo, Giovanna Politecn Milan Dept Elect Informat & Bioengn Biomed Engn Milan Italy Univ Roma La Sapienza Fac Med Physiol Rome Italy CNR Inst Mol Imaging & Physiol Milan Italy

Biomedical studies, both in research and in clinical applications, deal with the management of large amounts of data. Different sensors and transducers, advances in technologies, and the availability of innovative medical equipment and instrumentation all contribute to the ability to make biological measurements at different scales, ranging from systems, to organs, to tissues, to cells, right down to proteins and genes. Biomedical signals and data carry important information about the system or the organ that generated them.

关键词： Biomedical Engineering Biomedical Research Brain/physiology Brain-computer Interfaces Electroencephalography Humans image processing, computer-assisted Italy Models, Neurological Signal processing, computer-assisted Stroke/rehabilitation

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A PROTOCOL FOR 3D image-RECONSTRUCTION FROM A SINGLE image OF AN OBLIQUE SECTION

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ULTRAMICROSCOPY 1991年第1期38卷 85-103页

作者： TAYLOR, KA CROWTHER, RA MRC MOLEC BIOL LABCAMBRIDGE CB2 2QHENGLAND

Oblique section 3D reconstruction can produce a 3D image of a sectioned crystal from a single electron micrograph. We describe here in detail a reconstruction protocol applicable to an electron micrograph of an oblique section through a 3D crystal. The protocol is described in six steps: (1) selection criteria for images, (2) preprocessing steps to correct for image defects, (3) determination of unit cell coordinates, (4) interpolation of strip images with correction for image distortions and crystal disorder, (5) production of a crystallographic serial section reconstruction, (6) correction for skewed sampling to produce an oblique section reconstruction. In addition, we explore Wiener filter deconvolution of the section thickness. We describe a method for determining the section thickness by comparing data from projections of the oblique section reconstruction with corresponding data from a thick longitudinal section. Several schemes for Wiener filter deconvolution are described that differ in the way information on the signal-to-noise ratio is used in the filter.

关键词： Animals Crystallography Fourier Analysis Fourier Analysis image processing, computer-assisted Insects Microscopy, Electron Muscles/ultrastructure Tomography

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computer image-ANALYSIS OF TWO-DIMENSIONAL CRYSTALS OF BEEF-HEART NADH - UBIQUINONE OXIDOREDUCTASE FRAGMENTS .2. COMPARISON OF FROZEN HYDRATED AND NEGATIVELY STAINED SPECIMENS

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ULTRAMICROSCOPY 1989年第1期27卷 91-99页

作者： BRINK, J BOOY, FP VANBRUGGEN, EFJ STATE UNIV GRONINGEN BIOCHEM LAB NIJENBORGH 16 9747 AG GRONINGEN NETHERLANDS

Two-dimensional crystals of bovine NADH:ubiquinone oxidoreductase fragments were studied by cryo-electron microscopy and computer image analysis at two focus settings. The lattice parameters of the crystals were determined as a = 14.5 .+-. 0.2 nm, b = 14.8 .+-. 0.3 nm with .gamma. = ***. .+-. ***.. Translation and rotation alignment resulted in a final resolution of 1.38 (close-to-focus) or 1.9 nm (1.3 .mu.m underfocus). When only translational alignment was employed 1.6 nm resolution resulted (close-to-focus case.) The application of a further correction procedure surprisingly lowered the achieved resolution to 2.2 nm. A combination of the projected structures for the two focus settings in Fourier space resulted in a noise-free image displaying enhanced image contrast for reciprocal spacings from 1/5.0 to 1/1.4 nm-1. The structure in amorphous ice comprises four separate quasi-identical motifs, each resembling a distored triangle. Two symmetry-related (p2) motifs reveal a pore-like feature. In negative stain the structure has p4mm symmetry. The absence of in-plane symmetry elements (i.e. twofold rotation and screw axes) and other differences might be accounted for (at least in part) if the crystal studied was slightly tilted.

关键词： Animals Cattle Crystallization Freezing image processing, computer-assisted Microscopy, Electron/methods Myocardium/enzymology NAD(P)H Dehydrogenase (Quinone) Quinone Reductases/analysis Staining and Labeling Staining and Labeling

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EELS ELEMENTAL MAPPING WITH UNCONVENTIONAL METHODS .1. THEORETICAL BASIS - image-ANALYSIS WITH MULTIVARIATE-STATISTICS AND ENTROPY CONCEPTS

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ULTRAMICROSCOPY 1990年第3期34卷 165-178页

作者： TREBBIA, P BONNET, N LAB PHYS SOLIDE F-91405 ORSAY FRANCE INSERM U314 F-51100 REIMS FRANCE UNIV REIMS F-51100 REIMS FRANCE

Electron energy loss filtered images recorded within a transmission analytical electron microscope are now widely used for the mapping of the elemental distribution of a given atomic species in a specimen prepared as a thin film. Such an image processing may produce both valuable results and artifacts if a careful inspection of all the hypotheses needed by the calculation is not carried out. This paper presents some general statistical methods for a contrast information analysis of a noisy image data set. After a brief introduction of different concepts such as contrast, variance, information and entropy, two unconventional approaches for image analysis are explained: the relative entropy computed with respect to a pure random and signal-free image and the factorial analysis of correspondence (a branch of multivariate statistics). In the companion article (part II), these concepts are applied to real experiments and the results compared with those obtained with a conventional method. Although electron energy loss spectroscopy is the only technique considered here, these methods for image analysis can be applied to a wide variety of noisy data sets (spectra, images, ...) recorded from various sources (electrons, photons, ...).

关键词： Algorithms Animals Guinea Pigs image processing, computer-assisted Leukocytes/ultrastructure Mathematics Microscopy, Electron/methods Multivariate Analysis

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Biomedical Signal and image processing

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IEEE PULSE 2011年第3期2卷 41-54页

作者： Cerutti, Sergio Baselli, Giuseppe Bianchi, Anna Maria Caiani, Enrico Contini, Davide Cubeddu, Rinaldo Dercole, Fabio Di Rienzo, Luca Liberati, Diego Mainardi, Luca Ravazzani, Paolo Rinaldi, Sergio Signorini, Maria Gabriella Torricelli, Alessandro Politecn Milan Dipartimento Bioingn I-20133 Milan Italy Politecn Milan Dipartimento Fis I-20133 Milan Italy Politecn Milan Dipartimento Elettron & Informaz I-20133 Milan Italy Politecn Milan Dipartimento Elettrotecn I-20133 Milan Italy CNR Ist Elettron & Ingn Informaz & Telecomunicaz I-20133 Milan Italy Ist Nazl Fis Nucl I-20133 Milan Italy CNR Ist Ingn Biomed I-20133 Milan Italy

Generally, physiological modeling and biomedical signal processing constitute two important paradigms of biomedical engineering (BME): their fundamental concepts are taught starting from undergraduate studies and are more completely dealt with in the last years of graduate curricula, as well as in Ph.D. courses. Traditionally, these two cultural aspects were separated, with the first one more oriented to physiological issues and how to model them and the second one more dedicated to the development of processing tools or algorithms to enhance useful information from clinical data. A practical consequence was that those who did models did not do signal processing and vice versa. However, in recent years,the need for closer integration between signal processing and modeling of the relevant biological systems emerged very clearly [1], [2]. This is not only true for training purposes(i.e., to properly prepare the new professional members of BME) but also for the development of newly conceived research projects in which the integration between biomedical signal and image processing (BSIP) and modeling plays a crucial role. Just to give simple examples, topics such as brain–computer machine or interfaces,neuroengineering, nonlinear dynamical analysis of the cardiovascular (CV) system,integration of sensory-motor characteristics aimed at the building of advanced prostheses and rehabilitation tools, and wearable devices for vital sign monitoring and others do require an intelligent fusion of modeling and signal processing competences that are certainly peculiar of our discipline of BME.

关键词： Algorithms Biomedical Engineering Diagnostic Imaging Electrodiagnosis Humans image Interpretation, computer-assisted image processing, computer-assisted Models, Biological Signal processing, computer-assisted

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VIDEO image-ANALYSIS OF QUANTITATIVE COMPETITIVE PCR PRODUCTS - COMPARISON OF DIFFERENT EVALUATION METHODS

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BIOTECHNIQUES 1995年第1期18卷 26-&页

作者： CHEHADEH, HE ZERLAUTH, G MANNHALTER, JW Dept. of Immunological Research Immuno AG Vienna Austria.

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THALAMIC ABNORMALITIES IN SCHIZOPHRENIA VISUALIZED THROUGH MAGNETIC-RESONANCE image AVERAGING

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SCIENCE 1994年第5183期266卷 294-298页

作者： ANDREASEN, NC ARNDT, S SWAYZE, V CIZADLO, T FLAUM, M OLEARY, D EHRHARDT, JC YUH, WTC UNIV IOWA COLL MED DEPT PSYCHIAT IOWA CITY IA 52242 USA UNIV IOWA COLL MED DEPT RADIOL IOWA CITY IA 52242 USA UNIV IOWA HOSP & CLIN IOWA CITY IA 52242 USA

Schizophrenia is a complex illness characterized by multiple types of symptoms involving many aspects of cognition and emotion. Most efforts to identify its underlying neural substrates have focused on a strategy that relates a single symptom to a single brain region. An alternative hypothesis, that the variety of symptoms could be explained by a lesion in midline neural circuits mediating attention and information processing, is explored. Magnetic resonance images from patients and controls were transformed with a ''bounding box'' to produce an ''average schizophrenic brain'' and an ''average normal brain.'' After image subtraction of the two averages, the areas of difference were displayed as an effect size map. Specific regional abnormalities were observed in the thalamus and adjacent white matter. An abnormality in the thalamus and related circuitry explains the diverse symptoms of schizophrenia parsimoniously because they could all result from a defect in filtering or gating sensory input, which is one of the primary functions of the thalamus in the human brain.

关键词： Brain/pathology Female Humans image processing, computer-assisted Magnetic Resonance Imaging/methods Male Schizophrenia/pathology Software Subtraction Technique Thalamus/pathology

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