Bram van Ginneken

Summary

Affiliation: Image Sciences Institute
Country: The Netherlands

Publications

  1. ncbi request reprint Automatic segmentation of lung fields in chest radiographs
    B van Ginneken
    Image Sciences Institute, Utrecht University, The Netherlands
    Med Phys 27:2445-55. 2000
  2. doi request reprint Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study
    Bram van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    Med Image Anal 14:707-22. 2010
  3. ncbi request reprint Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database
    Bram van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    Med Image Anal 10:19-40. 2006
  4. ncbi request reprint Supervised probabilistic segmentation of pulmonary nodules in CT scans
    Bram van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    Med Image Comput Comput Assist Interv 9:912-9. 2006
  5. doi request reprint Computer-aided diagnosis in chest radiography: beyond nodules
    Bram van Ginneken
    University Medical Center Utrecht, Heidelberglaan 100, Utrecht, The Netherlands
    Eur J Radiol 72:226-30. 2009
  6. ncbi request reprint Active shape model segmentation with optimal features
    Bram van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    IEEE Trans Med Imaging 21:924-33. 2002
  7. ncbi request reprint Automatic detection of abnormalities in chest radiographs using local texture analysis
    Bram van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    IEEE Trans Med Imaging 21:139-49. 2002
  8. ncbi request reprint Computer-aided diagnosis in chest radiography: a survey
    B van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    IEEE Trans Med Imaging 20:1228-41. 2001
  9. ncbi request reprint Automated aortic calcium scoring on low-dose chest computed tomography
    Ivana Isgum
    Image Sciences Institute, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
    Med Phys 37:714-23. 2010
  10. doi request reprint Adaptive local multi-atlas segmentation: application to the heart and the caudate nucleus
    Eva M van Rikxoort
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    Med Image Anal 14:39-49. 2010

Detail Information

Publications74

  1. ncbi request reprint Automatic segmentation of lung fields in chest radiographs
    B van Ginneken
    Image Sciences Institute, Utrecht University, The Netherlands
    Med Phys 27:2445-55. 2000
    ..The average accuracy of the scheme is 0.969 +/- 0.0080, which is close to the interobserver variability of 0.984 +/- 0.0048. The methods are fast, and implemented on a standard PC platform...
  2. doi request reprint Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study
    Bram van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    Med Image Anal 14:707-22. 2010
    ..A method to combine the output of multiple systems is proposed. Results show a substantial performance difference between algorithms, and demonstrate that combining the output of algorithms leads to marked performance improvements...
  3. ncbi request reprint Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database
    Bram van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    Med Image Anal 10:19-40. 2006
    ..All results, including the manual segmentations, have been made publicly available to facilitate future comparative studies...
  4. ncbi request reprint Supervised probabilistic segmentation of pulmonary nodules in CT scans
    Bram van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    Med Image Comput Comput Assist Interv 9:912-9. 2006
    ..The new method is shown to outperform a previously published conventional method. By merely changing the training data, non-solid nodules can also be segmented...
  5. doi request reprint Computer-aided diagnosis in chest radiography: beyond nodules
    Bram van Ginneken
    University Medical Center Utrecht, Heidelberglaan 100, Utrecht, The Netherlands
    Eur J Radiol 72:226-30. 2009
    ..Recent work in these areas is surveyed, but we conclude that the amount of research devoted to these topics is modest. Reasons for the slow pace of CAD development in chest radiography beyond nodules are discussed...
  6. ncbi request reprint Active shape model segmentation with optimal features
    Bram van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    IEEE Trans Med Imaging 21:924-33. 2002
    ..In all cases, the new method produces significantly better results in terms of an overlap error measure (p < 0.001 using a paired T-test) than the original active shape model scheme...
  7. ncbi request reprint Automatic detection of abnormalities in chest radiographs using local texture analysis
    Bram van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    IEEE Trans Med Imaging 21:139-49. 2002
    ..820. The second database consist of 100 normal images and 100 abnormal images with interstitial disease. For this database, the results were a sensitivity of 0.97 at a specificity of 0.90 and an area under the ROC curve of 0.986...
  8. ncbi request reprint Computer-aided diagnosis in chest radiography: a survey
    B van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    IEEE Trans Med Imaging 20:1228-41. 2001
    ..Remaining challenges are indicated and some directions for future research are given...
  9. ncbi request reprint Automated aortic calcium scoring on low-dose chest computed tomography
    Ivana Isgum
    Image Sciences Institute, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
    Med Phys 37:714-23. 2010
    ..The authors developed and evaluated a computer-aided system for automatic detection and quantification of aortic calcifications in low-dose noncontrast-enhanced chest CT...
  10. doi request reprint Adaptive local multi-atlas segmentation: application to the heart and the caudate nucleus
    Eva M van Rikxoort
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    Med Image Anal 14:39-49. 2010
    ..In addition, AMAS was applied to an online segmentation challenge for delineation of the caudate nucleus in brain MRI scans where it achieved the best score of all results submitted to date...
  11. ncbi request reprint Automatic segmentation of the pulmonary lobes from fissures, airways, and lung borders: evaluation of robustness against missing data
    Eva M van Rikxoort
    Image Sciences Institute, University Medical Center, Utrecht, The Netherlands
    Med Image Comput Comput Assist Interv 12:263-71. 2009
    ..In a second experiment on 100 chest CT scans with incomplete fissures, the method is shown to perform well...
  12. pmc Rate of progression of CT-quantified emphysema in male current and ex-smokers: a follow-up study
    Firdaus A A Mohamed Hoesein
    Department of Respiratory Medicine, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, The Netherlands
    Respir Res 14:55. 2013
    ..The objective of this study was to investigate the effect of length of smoking cessation and clinical / demographical factors on the rate of emphysema progression and FEV1-decline in male heavy smokers...
  13. pmc CT air trapping is independently associated with lung function reduction over time
    Onno M Mets
    Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
    PLoS ONE 8:e61783. 2013
    ..We aimed to study the association between lung function decline and quantitative computed tomography (CT) air trapping...
  14. doi request reprint Automatic segmentation of pulmonary lobes robust against incomplete fissures
    Eva M van Rikxoort
    Image Sciences Institute, 3584 CX, Utrecht, The Netherlands
    IEEE Trans Med Imaging 29:1286-96. 2010
    ..When the fissures are incomplete, an observer study shows agreement of the automatically determined lobe borders with a radiologist for 81% of the lobe borders on average...
  15. ncbi request reprint Computer analysis of computed tomography scans of the lung: a survey
    Ingrid Sluimer
    Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
    IEEE Trans Med Imaging 25:385-405. 2006
    ..In addition, research trends and challenges are identified and directions for future research are discussed...
  16. doi request reprint Image subtraction facilitates assessment of volume and density change in ground-glass opacities in chest CT
    Marius Staring
    Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
    Invest Radiol 44:61-6. 2009
    ..To study the impact of image subtraction of registered images on the detection of change in pulmonary ground-glass nodules identified on chest CT...
  17. pmc Diagnosis of chronic obstructive pulmonary disease in lung cancer screening Computed Tomography scans: independent contribution of emphysema, air trapping and bronchial wall thickening
    Onno M Mets
    Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
    Respir Res 14:59. 2013
    ..Therefore, this study aims to determine the independent diagnostic value of CT emphysema, CT air trapping and CT bronchial wall thickness for COPD in low-dose screening CT scans...
  18. doi request reprint Early identification of small airways disease on lung cancer screening CT: comparison of current air trapping measures
    Onno M Mets
    Department of Radiology, University Medical Centre Utrecht, Heidelberglaan 100, HP E01 132, Postbus 85500, 3508 GA, Utrecht, The Netherlands
    Lung 190:629-33. 2012
    ..We studied which of the currently suggested measures is most suitable for detecting functionally relevant air trapping on low-dose computed tomography (CT) in a population of subjects with early-stage disease...
  19. ncbi request reprint Lung function decline in male heavy smokers relates to baseline airflow obstruction severity
    Firdaus A A Mohamed Hoesein
    Division of Heart and Lungs, Department of Respiratory Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
    Chest 142:1530-8. 2012
    ..The current study assessed whether lung function decline relates to baseline airflow obstruction severity in male heavy smokers...
  20. ncbi request reprint Adapting Active Shape Models for 3D segmentation of tubular structures in medical images
    Marleen de Bruijne
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    Inf Process Med Imaging 18:136-47. 2003
    ..Segmentation using the new appearance model significantly outperformed the original ASM scheme; average volume errors are 5.1% and 45% respectively...
  21. ncbi request reprint Segmentation of the optic disc, macula and vascular arch in fundus photographs
    Meindert Niemeijer
    Image Sciences Institute, Heidelberglaan 100, Q0S 459, 3584CX, Utrecht, The Netherlands
    IEEE Trans Med Imaging 26:116-27. 2007
    ..2%, the macula in 94.4%, the optic disc location in 98.4% and whether it is dealing with a left or right eye in 100% of all tested cases. For the pathological images test set, this was 77.0%, 92.0%, 94.0%, and 100% respectively...
  22. ncbi request reprint Automatic segmentation of intracranial arteries and veins in four-dimensional cerebral CT perfusion scans
    Adriënne Mendrik
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    Med Phys 37:2956-66. 2010
    ..An additional CT perfusion (CTP) scan is acquired of these patients to assess the perfusion of the cerebral tissue. The aim of this study is to extend the diagnostic yield of the CTP scans to also include vascular information...
  23. ncbi request reprint A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database
    Arnold M R Schilham
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    Med Image Anal 10:247-58. 2006
    ..For four false positives, this increases to 67%. This is close to the previously reported 70% detection rate of the radiologists...
  24. ncbi request reprint Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification
    Marco Loog
    Image Sciences Institute, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
    IEEE Trans Med Imaging 25:602-11. 2006
    ..In a sixfold cross-validation experiment, ICPC achieves a classification accuracy of 0.86 +/- 0.06, as compared to 0.94 +/- 0.02 for the second human observer...
  25. pmc Computed tomography structural lung changes in discordant airflow limitation
    Firdaus A A Mohamed Hoesein
    Department of Respiratory Medicine, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, The Netherlands
    PLoS ONE 8:e65177. 2013
    ....
  26. doi request reprint Noise reduction in computed tomography scans using 3-d anisotropic hybrid diffusion with continuous switch
    Adriënne M Mendrik
    Image Sciences Institute, 3584 CX Utrecht, The Netherlands
    IEEE Trans Med Imaging 28:1585-94. 2009
    ..Overall, the HDCS filtered scan was chosen most often...
  27. ncbi request reprint Toward automated segmentation of the pathological lung in CT
    Ingrid Sluimer
    Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
    IEEE Trans Med Imaging 24:1025-38. 2005
    ..The refined registration scheme enjoys the additional benefit that it does not require pathological (hand-segmented) training data...
  28. ncbi request reprint Automated classification of hyperlucency, fibrosis, ground glass, solid, and focal lesions in high-resolution CT of the lung
    Ingrid C Sluimer
    Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
    Med Phys 33:2610-20. 2006
    ..70, 0.53+/-0.02, and 0.40+/-0.03, respectively. The question whether or not a class of abnormality was present in a slice could be answered by the computer system with an accuracy comparable to that of radiologists...
  29. ncbi request reprint Global and local multi-valued dissimilarity-based classification: application to computer-aided detection of tuberculosis
    Yulia Arzhaeva
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    Med Image Comput Comput Assist Interv 12:724-31. 2009
    ..The global dissimilarity approach achieved an area under the ROC curve of 0.81. The combination of local and global classifications increased this value to 0.83...
  30. doi request reprint Computer-aided detection of lung cancer on chest radiographs: effect on observer performance
    Bartjan de Hoop
    Department of Radiology and Image Sciences Institute, University Medical Center, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
    Radiology 257:532-40. 2010
    ..To assess how computer-aided detection (CAD) affects reader performance in detecting early lung cancer on chest radiographs...
  31. pmc Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis
    Meindert Niemeijer
    Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
    Invest Ophthalmol Vis Sci 48:2260-7. 2007
    ..To describe and evaluate a machine learning-based, automated system to detect exudates and cotton-wool spots in digital color fundus photographs and differentiate them from drusen, for early diagnosis of diabetic retinopathy...
  32. doi request reprint Distribution of emphysema in heavy smokers: impact on pulmonary function
    Hester A Gietema
    Department of Radiology, University Medical Center, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    Respir Med 104:76-82. 2010
    ..To investigate impact of distribution of computed tomography (CT) emphysema on severity of airflow limitation and gas exchange impairment in current and former heavy smokers participating in a lung cancer screening trial...
  33. ncbi request reprint Computed tomography-quantified emphysema distribution is associated with lung function decline
    Firdaus A A Mohamed Hoesein
    Division of Heart and Lungs Dept of Respiratory Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands
    Eur Respir J 40:844-50. 2012
    ..Heavy (former) smokers with upper lobe-predominant CT-quantified emphysema have a more rapid decrease in lung function than those with lower lobe-predominant CT-quantified emphysema...
  34. ncbi request reprint Automatic detection of red lesions in digital color fundus photographs
    Meindert Niemeijer
    Image Sciences Institute Q0S 459, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
    IEEE Trans Med Imaging 24:584-92. 2005
    ..The method is compared with several different automatic systems and is shown to outperform them all. Performance is close to that of a human expert examining the images for the presence of red lesions...
  35. doi request reprint Screening for lung cancer with digital chest radiography: sensitivity and number of secondary work-up CT examinations
    Bartjan de Hoop
    Department of Radiology, University Medical Center, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    Radiology 255:629-37. 2010
    ..To estimate the performance of digital chest radiography for detection of lung cancer...
  36. ncbi request reprint Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection
    Eva M van Rikxoort
    Image Sciences Institute, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    Med Phys 36:2934-47. 2009
    ..In a large quantitative evaluation on a database of 150 scans from different sources, the hybrid method is shown to perform substantially better than a conventional approach at a relatively low increase in computational cost...
  37. ncbi request reprint Local noise weighted filtering for emphysema scoring of low-dose CT images
    Arnold M R Schilham
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    IEEE Trans Med Imaging 25:451-63. 2006
    ..NOVA filtering of a CT image of typically 400 x 512 x 512 voxels takes only a couple of minutes which makes it suitable for routine use in clinical practice...
  38. ncbi request reprint Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data
    Joes Staal
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    Med Image Anal 11:35-46. 2007
    ..8%, specificity is 97.8%). After grouping, 98.4% of the ribs are recognized. The final segmentation is qualitatively evaluated and is very accurate for over 80% of all ribs, with slight errors otherwise...
  39. doi request reprint Multi-atlas-based segmentation with local decision fusion--application to cardiac and aortic segmentation in CT scans
    Ivana Isgum
    Department of Radiology, Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
    IEEE Trans Med Imaging 28:1000-10. 2009
    ..Moreover, the additional atlas selection step led to a faster segmentation at a comparable performance...
  40. ncbi request reprint Detection of coronary calcifications from computed tomography scans for automated risk assessment of coronary artery disease
    Ivana Isgum
    Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
    Med Phys 34:1450-61. 2007
    ..1 false positives per scan. A calcium score was computed for each scan and subjects were assigned one of four risk categories based on this score. The method assigned the correct risk category to 93.4% of all scans...
  41. doi request reprint Toward automatic regional analysis of pulmonary function using inspiration and expiration thoracic CT
    Keelin Murphy
    Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands keelinm gmail com
    Med Phys 39:1650-62. 2012
    ....
  42. doi request reprint Identification of chronic obstructive pulmonary disease in lung cancer screening computed tomographic scans
    Onno M Mets
    Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, Postbus 85500, 3508GA Utrecht, The Netherlands
    JAMA 306:1775-81. 2011
    ..Smoking is a major risk factor for both cancer and chronic obstructive pulmonary disease (COPD). Computed tomography (CT)-based lung cancer screening may provide an opportunity to detect additional individuals with COPD at an early stage...
  43. doi request reprint CT-quantified emphysema in male heavy smokers: association with lung function decline
    Firdaus A A Mohamed Hoesein
    Division of Heart and Lungs, Department of Respiratory Medicine, University Medical Centre Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands
    Thorax 66:782-7. 2011
    ..The association between the extent of emphysema in male current and former smokers and lung function decline was investigated...
  44. doi request reprint Coronary artery calcification scoring in low-dose ungated CT screening for lung cancer: interscan agreement
    Peter C A Jacobs
    Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
    AJR Am J Roentgenol 194:1244-9. 2010
    ..We evaluated the interscan agreement of CAC scores from two consecutive low-dose ungated MDCT examinations...
  45. ncbi request reprint Robust segmentation and anatomical labeling of the airway tree from thoracic CT scans
    Bram van Ginneken
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    Med Image Comput Comput Assist Interv 11:219-26. 2008
    ..From inspiration scans on average 170 branches are found, from expiration scans 59...
  46. doi request reprint Timing-invariant imaging of collateral vessels in acute ischemic stroke
    Ewoud J Smit
    Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
    Stroke 44:2194-9. 2013
    ..We postulate that in these cases collateral vessels are present though not visible on standard imaging techniques that are based on a single time frame...
  47. doi request reprint Computer-aided segmentation and volumetry of artificial ground-glass nodules at chest CT
    Ernst Th Scholten
    Department of Radiology, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    AJR Am J Roentgenol 201:295-300. 2013
    ....
  48. pmc Semi-automatic quantification of subsolid pulmonary nodules: comparison with manual measurements
    Ernst Th Scholten
    Department of Radiology, University Medical Centre Utrecht, Utrecht, The Netherlands Department of Radiology, Kennemer Gasthuis, Haarlem, The Netherlands
    PLoS ONE 8:e80249. 2013
    ..SSNs were previously quantified with time-consuming manual measurements. The aim of the present study is to test the feasibility of semi-automatic SSNs measurements and to compare the results to the manual measurements...
  49. doi request reprint Pulmonary perifissural nodules on CT scans: rapid growth is not a predictor of malignancy
    Bartjan de Hoop
    Department of Radiology, Rijnstate Hospital, Wagnerlaan 55, 6815 AD, Arnhem, The Netherlands
    Radiology 265:611-6. 2012
    ..To assess the prevalence, natural course, and malignancy rate of perifissural nodules (PFNs) in smokers participating in a lung cancer screening trial...
  50. doi request reprint Coronary artery calcium can predict all-cause mortality and cardiovascular events on low-dose CT screening for lung cancer
    Peter C Jacobs
    Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Universiteitsweg 100, P O Box 85060, 3508 AB Utrecht, The Netherlands
    AJR Am J Roentgenol 198:505-11. 2012
    ..This study aims to investigate whether CAC measured on low-dose CT in a population of former and current heavy smokers is an independent predictor of all-cause mortality and cardiac events...
  51. doi request reprint Automatic segmentation of pulmonary segments from volumetric chest CT scans
    Eva M van Rikxoort
    Image Sciences Institute, Utrecht, The Netherlands
    IEEE Trans Med Imaging 28:621-30. 2009
    ..The method was able to segment the pulmonary segments with high accuracy (77%), comparable to both interobserver and intraobserver accuracy (74% and 80%, respectively)...
  52. ncbi request reprint Computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography
    Yulia Arzhaeva
    Images Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
    Med Phys 34:4798-809. 2007
    ..The system performance does not significantly differ from that of the observers, when the perihilar regions are excluded from evaluation, and reaches A(z) = 0.85 for the system, with A(z) = 0.88 for both observers...
  53. doi request reprint Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
    Keelin Murphy
    Image Sciences Institute, University Medical Center, Utrecht, The Netherlands
    IEEE Trans Med Imaging 30:1901-20. 2011
    ..This paper details the organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms. The gain in knowledge and future work are discussed...
  54. doi request reprint On combining computer-aided detection systems
    Meindert Niemeijer
    University Medical Center Utrecht, Image Sciences Institute, 3584 CX Utrecht, The Netherlands
    IEEE Trans Med Imaging 30:215-23. 2011
    ..For both applications, combination results in a large and significant increase in performance when compared to the best individual CAD system...
  55. ncbi request reprint Computer-aided diagnosis in high resolution CT of the lungs
    Ingrid C Sluimer
    Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
    Med Phys 30:3081-90. 2003
    ..Performance of the system is shown to approach that of two expert radiologists in diagnosing the local regions of interest, with an area under the ROC curve of 0.862 for the CAD scheme versus 0.877 and 0.893 for the radiologists...
  56. doi request reprint A comparison of six software packages for evaluation of solid lung nodules using semi-automated volumetry: what is the minimum increase in size to detect growth in repeated CT examinations
    Bartjan de Hoop
    Department of Radiology, University Medical Center, Utrecht, The Netherlands
    Eur Radiol 19:800-8. 2009
    ..5%-25.6%). Segmented volumes of each package were compared to each of the other packages. Systematic volume differences were detected in 11/15 comparisons. This hampers comparison of nodule volumes between software packages...
  57. pmc Non-solid lung nodules on low-dose computed tomography: comparison of detection rate between 3 visualization techniques
    Ernst Th Scholten
    Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    Cancer Imaging 13:150-4. 2013
    ..To compare various visualization techniques for the detection of non-solid nodules in low-dose lung cancer screening computed tomography (CT) scans...
  58. doi request reprint Automatic coronary calcium scoring in low-dose chest computed tomography
    Ivana Isgum
    Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
    IEEE Trans Med Imaging 31:2322-34. 2012
    ..Calcium scoring can be performed automatically in low-dose, non-contrast enhanced, non-ECG-synchronized chest CT in screening of heavy smokers to identify subjects who might benefit from preventive treatment...
  59. doi request reprint Timing-invariant reconstruction for deriving high-quality CT angiographic data from cerebral CT perfusion data
    Ewoud J Smit
    Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands
    Radiology 263:216-25. 2012
    ..To suggest a simple and robust technique used to reconstruct high-quality computed tomographic (CT) angiographic images from CT perfusion data and to compare it with currently used CT angiography techniques...
  60. doi request reprint Contextual computer-aided detection: improving bright lesion detection in retinal images and coronary calcification identification in CT scans
    Clara I Sanchez
    Image Sciences Institute, University Medical Center Utrecht, The Netherlands
    Med Image Anal 16:50-62. 2012
    ..84 to 0.92 and from 0.88 to 0.98 for exudates and drusen, respectively, and from 0.87 to 0.93 for coronary calcifications...
  61. ncbi request reprint Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening
    Meindert Niemeijer
    University Medical Center Utrecht, Image Sciences Institute, Q0S 459, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
    Med Image Anal 10:888-98. 2006
    ..The best system, based on a Support Vector Machine, has performance close to optimal with an area under the ROC curve of 0.9968...
  62. ncbi request reprint Interactive segmentation of abdominal aortic aneurysms in CTA images
    Marleen de Bruijne
    Image Sciences Institute, University Medical Center Utrecht, E01 335, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    Med Image Anal 8:127-38. 2004
    ..The average number of slices in our datasets is 51, while on average eight manual initializations are required, which decreases operator segmentation time by a factor of 6...
  63. ncbi request reprint Ridge-based vessel segmentation in color images of the retina
    Joes Staal
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, E 01 335, 3584 CX, Utrecht, The Netherlands
    IEEE Trans Med Imaging 23:501-9. 2004
    ..and Jiang et al. The results show that our method is significantly better than the two rule-based methods (p < 0.01). The accuracy of our method is 0.944 versus 0.947 for a second observer...
  64. doi request reprint Normal range of emphysema and air trapping on CT in young men
    Onno M Mets
    Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, Postbus 85500, 3508GA Utrecht, The Netherlands
    AJR Am J Roentgenol 199:336-40. 2012
    ..The purpose of our study was to assess the normal range of CT measures of emphysema and air trapping in young men with normal lung function...
  65. doi request reprint TIPS bilateral noise reduction in 4D CT perfusion scans produces high-quality cerebral blood flow maps
    Adriënne M Mendrik
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    Phys Med Biol 56:3857-72. 2011
    ..Furthermore, the TIPS bilateral filter is computationally faster than both the 3D and 4D bilateral filters...
  66. ncbi request reprint Monitoring of smoking-induced emphysema with CT in a lung cancer screening setting: detection of real increase in extent of emphysema
    Hester A Gietema
    Department of Radiology, University Medical Center, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    Radiology 244:890-7. 2007
    ....
  67. doi request reprint Computer-aided diagnosis: how to move from the laboratory to the clinic
    Bram van Ginneken
    Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
    Radiology 261:719-32. 2011
    ..This can identify the most fruitful new research directions, and provide a platform to combine multiple approaches for a single task to create superior algorithms...
  68. ncbi request reprint Automatic detection of calcifications in the aorta from CT scans of the abdomen. 3D computer-aided diagnosis
    Ivana Isgum
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
    Acad Radiol 11:247-57. 2004
    ..An automatic computerized method to detect calcifications in CT scans is presented...
  69. pmc Fast detection of the optic disc and fovea in color fundus photographs
    Meindert Niemeijer
    Department of Ophthalmology, University of Iowa Hospitals and Clinics, 200 Hawkins Drive, Iowa City, IA 52242, USA
    Med Image Anal 13:859-70. 2009
    ..The method found the optic disc in 99.4% and the fovea in 96.8% of regular screening images and for the images with abnormalities these numbers were 93.0% and 89.0% respectively...
  70. doi request reprint Information fusion for diabetic retinopathy CAD in digital color fundus photographs
    Meindert Niemeijer
    Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242 USA
    IEEE Trans Med Imaging 28:775-85. 2009
    ..The best performing fusion method obtained an area under the receiver operator characteristic curve of 0.881. This indicates that automated prescreening could be applied in diabetic retinopathy screening programs...
  71. doi request reprint Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs
    Meindert Niemeijer
    Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA
    IEEE Trans Med Imaging 29:185-95. 2010
    ..The data associated with the ROC microaneurysm detection competition will remain publicly available and the website will continue accepting submissions...
  72. doi request reprint Supervised quality assessment of medical image registration: application to intra-patient CT lung registration
    Sascha E A Muenzing
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, Room Q0S 459, 3584 CX Utrecht, The Netherlands
    Med Image Anal 16:1521-31. 2012
    ..We consider the setup generic, however, its application is demonstrated on 51 CT follow-up scan pairs of the lung. On this data, the proposed method performs with an overall classification accuracy of 90%...
  73. pmc Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes
    Michael D Abramoff
    Retina Service, Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
    Diabetes Care 31:193-8. 2008
    ..To evaluate the performance of a system for automated detection of diabetic retinopathy in digital retinal photographs, built from published algorithms, in a large, representative, screening population...
  74. ncbi request reprint Can the extent of low-attenuation areas on CT scans really demonstrate changes in the severity of emphysema?
    Berend C Stoel
    Radiology 247:293-4; author reply 294. 2008