Real-Time Locally Adaptive Contrast Enhancement Of Medical Images By An Inexpensive Modular Image Processor

Schmidt, Greg W.; Hier, R. G.; Benyamin, S.; Deforest, S. E.

doi:10.1117/12.968707

Cited by 4 publications

(2 citation statements)

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“…Information (e.g., various scales of microtexture) is also lost in other types of images: low-resolution, degraded, or blurred images (Uttal, Baruch & Allen, 1995a;1995b); visual images disrupted by optical or neural dysfunction associated with visual pathology (Essock, Williams, Enoch, & Raphael, 1984;Peli, Goldstein, Young, Trempe, & Buzney, 1991;Wilson, 1991); images displaying information from alternative sensor sources (e.g., low-light intensified and near or far infrared images; Essock, McCarley, Sinai, & Krebs, 1996;O'Kane, 1995;Uttal, Baruch, & Allen, 1994); and images from ultrasound, fluoroscope, or other medical devices of various types (Schmidt, Hier, Benyamin, & DeForest, 1998;Wolfe, 1994b). In particular, use of low-light image intensified (i 2 ) and infrared (ir) imagery has become more prevalent in recent years as research to enhance night vision has been pursued in automobile display design (Barham, Oxley, & Ayala, 1998;Krebs, Scribner, Schuler, Miller, & Lobik, 1996;Ward, Stapleton, & Parkes, 1994); in military, Coast Guard, and other related applications (Cameron, 1990;Donderi, 1994;Rabin & Wiley, 1994;Steele & Perconti, 1997); for use by firefighters in conditions of heavy smoke; and as visual aids for vision disorders involving rod dysfunction (Berson, 1976;Friedburg, Serey, Sharpe, TrauzettelKlosinski, & Zrenner, 1997).…”

Section: Introductionmentioning

confidence: 98%

Perceptual Ability with Real-World Nighttime Scenes: Image-Intensified, Infrared, and Fused-Color Imagery

et al. 1999

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We investigated human perceptual performance allowed by relatively impoverished information conveyed in nighttime natural scenes. We used images of nighttime outdoor scenes rendered in image-intensified low-light visible (i2) sensors, thermal infrared (ir) sensors, and an i2/ir fusion technique with information added. We found that nighttime imagery provides adequate low-level image information for effective perceptual organization on a classification task, but that performance for exemplars within a given object category is dependent on the image type. Overall performance was best with the false-color fused images. This is consistent with the suggestion in the literature that color plays a predominate role in perceptual grouping and segmenting of objects in a scene and supports the suggestion that the addition of color in complex achromatic scenes aids the perceptual organization required for visual search. In the present study, we address the issue of assessment of perceptual performance with alternative night-vision sensors and fusion methods and begin to characterize perceptual organization abilities permitted by the information in relatively impoverished images of complex scenes. Applications of this research include improving night vision, medical, and other devices that use alternative sensors or degraded imagery.

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Section: Introductionmentioning

confidence: 98%

Perceptual Ability with Real-World Nighttime Scenes: Image-Intensified, Infrared, and Fused-Color Imagery

et al. 1999

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“…1 We have been interested in reducing radiation exposure to the patient without loss in clinical diagnostic information. The appropriate choice ofexposure rate requires good clinical judgement and an understanding of the physical behaviour of the imaging system under various exposure rate conditions while maintaining a consistent behaviour which reassures the physician.…”

Section: Introductionmentioning

confidence: 99%

<title>Real-time digital processing of video image sequences for videofluoroscopy</title>

Rowlands

1992

Medical Imaging VI: Image Processing

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The conflicting demands ofminimising radiation dosage and constant replenishment of the image result in noisy videofluoroscopic image sequences We are investigating the possibilities for real time digital image processing to reduce the level of noise without increase in x-ray exposure rate. Several approaches have been previously suggested based on combinations of spatial filtration, temporal filtration and grey scale remappmg It will be demonstrated that motion adaptive temporal filtration combined with grey scale remapping has considerable advantages. Real-time temporal averaging is conventionally performed by means of dedicated hardware which includes adders, multipliers and, for non-linear processing, comparators. Typically, the algorithm has to be selected before the hardware can be built. Thus, in order to permit a more general experimental investigation a temporal filter using reprogrammable dual-input look-up tables was designed and built.

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X-ray fluoroscopy spatio-temporal filtering with object detection

Aufrichtig

Wilson

1995

IEEE Trans. Med. Imaging

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One potential way to reduce patient and staff X-ray fluoroscopy dose is to reduce the quantum exposure to the detector and compensate the additional noise with digital filtering. A new filtering method, spatio-temporal filtering with object detection, is described that reduces noise while minimizing motion and spatial blur. As compared to some conventional motion-detection filtering schemes, this object-detection method incorporates additional a priori knowledge of image content; i.e. much of the motion occurs in isolated long thin objects (catheters, guide wires, etc.). We create object-likelihood images and use these to control spatial and recursive temporal filtering such as to reduce blurring the objects of interest. We use automatically computed receiver operating characteristic (ROC) curves to optimize the object-likelihood enhancement method and determine that oriented matched filter kernels with 4 orientations are appropriate. The matched filter kernels are simple projected cylinders. We demonstrate the method on several representative X-ray fluoroscopy sequences to which noise is added to simulate very low dose acquisitions. With processing, we find that noise variance is significantly reduced with slightly less noise reduction near moving objects. We estimate an effective exposure reduction greater than 80%

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Real-Time Locally Adaptive Contrast Enhancement Of Medical Images By An Inexpensive Modular Image Processor

Cited by 4 publications

References 0 publications

Perceptual Ability with Real-World Nighttime Scenes: Image-Intensified, Infrared, and Fused-Color Imagery

Perceptual Ability with Real-World Nighttime Scenes: Image-Intensified, Infrared, and Fused-Color Imagery

<title>Real-time digital processing of video image sequences for videofluoroscopy</title>

X-ray fluoroscopy spatio-temporal filtering with object detection

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