Recent advances in chest radiography.

There have been many remarkable advances in conventional thoracic imaging over the past decade. Perhaps the most remarkable is the rapid conversion from film-based to digital radiographic systems. Computed radiography is now the preferred imaging modality for bedside chest imaging. Direct radiography is rapidly replacing film-based chest units for in-department posteroanterior and lateral examinations. An exciting aspect of the conversion to digital radiography is the ability to enhance the diagnostic capabilities and influence of chest radiography. Opportunities for direct computer-aided detection of various lesions may enhance the radiologist's accuracy and improve efficiency. Newer techniques such as dual-energy and temporal subtraction radiography show promise for improved detection of subtle and often obscured or overlooked lung lesions. Digital tomosynthesis is a particularly promising technique that allows reconstruction of multisection images from a short acquisition at very low patient dose. Preliminary data suggest that, compared with conventional radiography, tomosynthesis may also improve detection of subtle lung lesions. The ultimate influence of these new technologies will, of course, depend on the outcome of rigorous scientific validation.

[1]  T. Hartman Dual-energy radiography. , 1997, Seminars in roentgenology.

[2]  R Van Metter,et al.  Objective performance characteristics of a new asymmetric screen-film system. , 1994, Medical physics.

[3]  C. Nodine,et al.  An Analysis of Perceptual and Cognitive Factors in Radiographic Interpretation , 1980, Perception.

[4]  Bernhard Erich Hermann Claus,et al.  Development and characterization of a dual-energy subtraction imaging system for chest radiography based on CsI:Tl amorphous silicon flat-panel technology , 2001, SPIE Medical Imaging.

[5]  Michael J. Flynn,et al.  Assessment of a Novel, High-Resolution, Color, AMLCD for Diagnostic Medical Image Display: Luminance Performance and DICOM Calibration , 2003, Journal of Digital Imaging.

[6]  Günter Lauritsch,et al.  Theoretical framework for filtered back projection in tomosynthesis , 1998, Medical Imaging.

[7]  N. Pelc,et al.  Filtered backprojection for modifying the impulse response of circular tomosynthesis. , 2001, Medical physics.

[8]  S Sakuma,et al.  One-shot dual-energy subtraction chest imaging with computed radiography: clinical evaluation of film images. , 1988, Radiology.

[9]  Ehsan Samei,et al.  Effect of viewing angle response on DICOM compliance of liquid crystal displays , 2004, SPIE Medical Imaging.

[10]  K Doi,et al.  Digital chest radiography: effect of temporal subtraction images on detection accuracy. , 1997, Radiology.

[11]  K. Doi,et al.  Computer-aided diagnosis in chest radiography: results of large-scale observer tests at the 1996-2001 RSNA scientific assemblies. , 2003, Radiographics : a review publication of the Radiological Society of North America, Inc.

[12]  H L Kundel,et al.  Visual scanning, pattern recognition and decision-making in pulmonary nodule detection. , 1978, Investigative radiology.

[13]  C E Ravin,et al.  Measurement of scatter fractions in clinical bedside radiography. , 1992, Radiology.

[14]  J W Oestmann,et al.  "Single-exposure" dual energy digital radiography in the detection of pulmonary nodules and calcifications. , 1989, Investigative radiology.

[15]  M. Giger,et al.  Digital image subtraction of temporally sequential chest images for detection of interval change. , 1994, Medical physics.

[16]  Kuni Ohtomo,et al.  Clinical effectiveness of improved temporal subtraction for digital chest radiographs , 2002, SPIE Medical Imaging.

[17]  E. Samei,et al.  Effects of Anatomical Structure on Signal Detection , 2000 .

[18]  J Yorkston,et al.  Empirical and theoretical investigation of the noise performance of indirect detection, active matrix flat-panel imagers (AMFPIs) for diagnostic radiology. , 1997, Medical physics.

[19]  Arthur G. Haus,et al.  Advances in Film Processing Systems Technology and Quality Control in Medical Imaging , 2001 .

[20]  I. Blevis,et al.  Digital radiology using active matrix readout of amorphous selenium: construction and evaluation of a prototype real-time detector. , 1997, Medical physics.

[21]  J. Sorenson,et al.  Rotating disk device for slit radiography of the chest. , 1980, Radiology.

[22]  James T Dobbins,et al.  Quantitative , 2020, Psychology through Critical Auto-Ethnography.

[23]  Kenneth A Fetterly,et al.  Performance evaluation of a "dual-side read" dedicated mammography computed radiography system. , 2003, Medical physics.

[24]  James T. Dobbins,et al.  Recent progress in noise reduction and scatter correction in dual-energy imaging , 1995, Medical Imaging.

[25]  K. Doi,et al.  Image feature analysis and computer-aided diagnosis in digital radiography: automated detection of pneumothorax in chest images. , 1992, Medical physics.

[26]  Noriyuki Tomiyama,et al.  Temporal subtraction for detection of solitary pulmonary nodules on chest radiographs: evaluation of a commercially available computer-aided diagnosis system. , 2002, Radiology.

[27]  B. G. Ziedses des Plantes,et al.  Eine Neue Methode Zur Differenzierung in der Rontgenographie (Planigraphies) , 1932 .

[28]  R G Swensson,et al.  Improving performance by multiple interpretations of chest radiographs: effectiveness and cost. , 1978, Radiology.

[29]  M. Freedman Improved Small Volume Lung Cancer Detection with Computer‐Aided Detection: Database Characteristics and Imaging of Response to Breast Cancer Risk Reduction Strategies , 2004, Annals of the New York Academy of Sciences.

[30]  N Nakamori,et al.  Effect of heart-size parameters computed from digital chest radiographs on detection of cardiomegaly. Potential usefulness for computer-aided diagnosis. , 1991, Investigative radiology.

[31]  Frank Fischbach,et al.  Clinical results of CsI-detector-based dual-exposure dual energy in chest radiography , 2003, European Radiology.

[32]  C E Ravin,et al.  Scatter fractions in AMBER imaging. , 1990, Radiology.

[33]  Aldo Badano,et al.  Noise in flat-panel displays with subpixel structure. , 2004, Medical physics.

[34]  Kunio Doi,et al.  Improved detection of lung cancer arising in diffuse lung diseases on chest radiographs using temporal subtraction. , 2004, Academic radiology.

[35]  S Katsuragawa,et al.  Computer-aided diagnosis for detection of interstitial opacities on chest radiographs. , 1998, AJR. American journal of roentgenology.

[36]  K. Doi,et al.  Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs. , 1996, Radiology.

[37]  James T. Dobbins,et al.  Optimization of matrix inverse tomosynthesis , 2001, SPIE Medical Imaging.

[38]  Margrit Betke,et al.  Chest CT: automated nodule detection and assessment of change over time--preliminary experience. , 2001, Radiology.

[39]  J A Sorenson,et al.  Scatter rejection by air gaps: an empirical model. , 1985, Medical physics.

[40]  K. Doi,et al.  Computer-aided diagnosis of pulmonary nodules: results of a large-scale observer test. , 1999, Radiology.

[41]  James A. Sorenson,et al.  Scattered radiation in chest radiography. , 1981, Medical physics.

[42]  M. Prokop,et al.  Comparison of liquid crystal versus cathode ray tube display for the detection of simulated chest lesions , 2005, European Radiology.

[43]  B K Stewart,et al.  Single-exposure dual-energy computed radiography. , 1990, Medical physics.

[44]  James J. Waring,et al.  The Imperfections of the Stereoscopic Manœuvre in Radiography of the Chest , 1926 .

[45]  C A Mistretta,et al.  Conventional chest radiography vs dual-energy computed radiography in the detection and characterization of pulmonary nodules. , 1994, AJR. American journal of roentgenology.

[46]  R. G. Fraser,et al.  A comparison of dual-energy digital radiography and screen-film imaging in the detection of subtle interstitial pulmonary disease. , 1989, Investigative radiology.

[47]  Elizabeth A. Krupinski,et al.  A perceptually-based algorithm provides effective visual feedback to radiologists searching for lung nodules , 1990, [1990] Proceedings of the First Conference on Visualization in Biomedical Computing.

[48]  Kunio Doi,et al.  Improved detection of lung nodules by using a temporal subtraction technique. , 2002, Radiology.

[49]  D B Plewes,et al.  Effects of scattered radiation and veiling glare in dual-energy tissue-bone imaging: a theoretical analysis. , 1987, Medical physics.

[50]  H Nakata,et al.  ROC analysis of detection of metastatic pulmonary nodules on digital chest radiographs with temporal subtraction. , 2001, Academic radiology.

[51]  R A Kruger,et al.  Scatter rejection by electronic collimation. , 1986, Medical physics.

[52]  Ehsan Samei,et al.  Assessment of display performance for medical imaging systems: executive summary of AAPM TG18 report. , 2005, Medical physics.

[53]  KATSUMI ABE,et al.  Computer-Aided Diagnosis in Chest Radiography: Preliminary Experience , 1993, Investigative radiology.

[54]  W Herstel,et al.  Advanced multiple-beam equalization radiography in chest radiology: a simulated nodule detection study. , 1988, Radiology.

[55]  Matthew T. Freedman,et al.  Automatic temporal subtraction of chest radiographs and its enhancement for lung cancers , 2001, SPIE Medical Imaging.

[56]  G. Barnes,et al.  The scanning grid: a novel and effective bucky movement. , 1980, Radiology.

[57]  Kunio Doi,et al.  Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experience. , 2003, Radiology.

[58]  Jesse Lin,et al.  Computer-aided detection of lung cancer on chest radiographs: effect of machine CAD true positive/false negative detections on radiologists' confidence level , 2004, SPIE Medical Imaging.

[59]  D. B. Plewes,et al.  Improved Lung Nodule Detection With An Equalized Image , 1980, Other Conferences.

[60]  K. Marten,et al.  Computer-assisted detection of pulmonary nodules: performance evaluation of an expert knowledge-based detection system in consensus reading with experienced and inexperienced chest radiologists , 2004, European Radiology.

[61]  Jerzy Kanicki,et al.  Angular dependence of the luminance and contrast in medical monochrome liquid crystal displays. , 2003, Medical physics.

[62]  L T Niklason,et al.  Calcification in pulmonary nodules: detection with dual-energy digital radiography. , 1986, Radiology.

[63]  C A Mistretta,et al.  Single-exposure dual-energy computed radiography: improved detection and processing. , 1990, Radiology.

[64]  Noriyuki Tomiyama,et al.  Temporal subtraction for the detection of hazy pulmonary opacities on chest radiography. , 2002, AJR. American journal of roentgenology.

[65]  Ehsan Samei,et al.  Subtle lung nodules: influence of local anatomic variations on detection. , 2003, Radiology.

[66]  M. Sonoda,et al.  Computed radiography utilizing scanning laser stimulated luminescence. , 1983, Radiology.

[67]  Mathias Prokop,et al.  Principles of image processing in digital chest radiography. , 2003, Journal of thoracic imaging.

[68]  D. Plewes,et al.  Improved pulmonary nodule detection with scanning equalization radiography. , 1988, Radiology.

[69]  K. Doi Overview on research and development of computer-aided diagnostic schemes. , 2004, Seminars in ultrasound, CT, and MR.

[70]  A Fenster,et al.  An accurate method for direct dual-energy calibration and decomposition. , 1990, Medical physics.

[71]  Frank Fischbach,et al.  Dual-energy chest radiography with a flat-panel digital detector: revealing calcified chest abnormalities. , 2003, AJR. American journal of roentgenology.

[72]  Stitik Fp,et al.  Radiographic screening in the early detection of lung cancer. , 1978, Radiologic clinics of North America.

[73]  Jesse Lin,et al.  Computer-aided detection of lung cancer on chest radiographs: differences in the interpretation time of radiologist's showing vs. not showing improvement with CAD , 2003, SPIE Medical Imaging.

[74]  B. Jacobson,et al.  Dichromatic absorption radiography; dichromography. , 1953, Acta radiologica.

[75]  M. Jinzaki,et al.  Small solid renal lesions: usefulness of power Doppler US. , 1998, Radiology.

[76]  K. Doi,et al.  Effect of high sensitivity in a computerized scheme for detecting extremely subtle solitary pulmonary nodules in chest radiographs: observer performance study. , 2003, Academic radiology.

[77]  R. Gilkeson,et al.  Digital radiography with dual-energy subtraction: improved evaluation of cardiac calcification. , 2004, AJR. American journal of roentgenology.

[78]  Ehsan Samei,et al.  An experimental comparison of detector performance for computed radiography systems. , 2002, Medical physics.

[79]  Ehsan Samei,et al.  Comparative scatter and dose performance of slot-scan and full-field digital chest radiography systems. , 2005, Radiology.

[80]  Pieter Vuylsteke,et al.  Multiscale image contrast amplification (MUSICA) , 1994, Medical Imaging.

[81]  H L Kundel,et al.  Contrast gradient and the detection of lung nodules. , 1979, Investigative radiology.

[82]  James T Dobbins,et al.  Digital x-ray tomosynthesis: current state of the art and clinical potential. , 2003, Physics in medicine and biology.

[83]  Kunio Doi,et al.  Artificial neural networks (ANNs) for differential diagnosis of interstitial lung disease : results of a simulation test with actual clinical cases1 , 2004 .

[84]  James T. Dobbins,et al.  Applications of matrix inverse tomosynthesis , 2000 .

[85]  D. Godfrey,et al.  Optimization of the matrix inversion tomosynthesis (MITS) impulse response and modulation transfer function characteristics for chest imaging. , 2006, Medical physics.

[86]  Martin J Yaffe,et al.  A slot-scanned photodiode-array/CCD hybrid detector for digital mammography. , 2002, Medical physics.

[87]  Ronald M Summers,et al.  Road maps for advancement of radiologic computer-aided detection in the 21st century. , 2003, Radiology.

[88]  Kunio Doi,et al.  Automatic detection of abnormalities in chest radiographs using local texture analysis , 2002, IEEE Transactions on Medical Imaging.

[89]  James T. Dobbins,et al.  Practical strategies for the clinical implementation of matrix inversion tomosynthesis (MITS) , 2003, SPIE Medical Imaging.

[90]  Max A. Viergever,et al.  Computer-aided diagnosis in chest radiography: a survey , 2001, IEEE Transactions on Medical Imaging.

[91]  Ehsan Samei,et al.  An experimental comparison of detector performance for direct and indirect digital radiography systems. , 2003, Medical physics.

[92]  Harold L. Kundel Peripheral vision, structured noise and film reader error. , 1975 .

[93]  A Fenster,et al.  A time-delay integration charge-coupled device camera for slot-scanned digital radiography. , 1990, Medical physics.

[94]  Richard L. Webber,et al.  Restoration of Digital Multiplane Tomosynthesis by a Constrained Iteration Method , 1984, IEEE Transactions on Medical Imaging.

[95]  K. Doi,et al.  Iterative image warping technique for temporal subtraction of sequential chest radiographs to detect interval change. , 1999, Medical physics.

[96]  E Samei,et al.  Detection of subtle lung nodules: relative influence of quantum and anatomic noise on chest radiographs. , 1999, Radiology.

[97]  Ehsan Samei,et al.  Fundamental imaging characteristics of a slot-scan digital chest radiographic system. , 2004, Medical physics.

[98]  A. Macovski,et al.  Energy-selective reconstructions in X-ray computerised tomography , 1976, Physics in medicine and biology.

[99]  T Kozuka,et al.  Clinical evaluation of pulmonary nodules with single-exposure dual-energy subtraction chest radiography with an iterative noise-reduction algorithm. , 1995, Radiology.

[100]  Mathias Prokop,et al.  Soft-Copy Reading of Digital Chest Radiographs: Effect of Ambient Light and Automatic Optimization of Monitor Luminance , 2005, Investigative radiology.

[101]  I A Brezovich,et al.  Scanning multiple slit assembly: a practical and efficient device to reduce scatter. , 1977, AJR. American journal of roentgenology.

[102]  James T. Dobbins Image Quality Metrics for Digital Systems , 2000 .

[103]  J A Sorenson,et al.  Performance characteristics of improved antiscatter grids. , 1980, Medical physics.

[104]  H. Kundel,et al.  The influence of structured noise on the detection of radiologic abnormalities. , 1974, Investigative radiology.

[105]  Mathias Prokop,et al.  Flat-panel display (LCD) versus high-resolution gray-scale display (CRT) for chest radiography: an observer preference study. , 2005, AJR. American journal of roentgenology.

[106]  Mathias Prokop,et al.  Detectability of catheters on bedside chest radiographs: comparison between liquid crystal display and high-resolution cathode-ray tube monitors. , 2005, Radiology.

[107]  Richard L. Van Metter Describing the signal-transfer characteristics of asymmetrical radiographic screen-film systems. , 1992 .

[108]  C A Mistretta,et al.  A regional convolution kernel algorithm for scatter correction in dual-energy images: comparison to single-kernel algorithms. , 1994, Medical physics.

[109]  J A Rowlands,et al.  X-ray detectors for digital radiography. , 1997, Physics in medicine and biology.

[110]  K. Doi,et al.  Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system. , 2004, AJR. American journal of roentgenology.

[111]  K Nakamura,et al.  Effect of an artificial neural network on radiologists' performance in the differential diagnosis of interstitial lung disease using chest radiographs. , 1999, AJR. American journal of roentgenology.