Amplitude Analysis of Pancreatic B-Scans: A Clinical Evaluation of Cystic Fibrosis

Ultrasonic B-scan images of the pancreatic parenchyma in normal and cystic fibrosis patients were numerically analyzed. Images of both the maximum and minimum echoes from the tissue were generated by a recently-developed digital ultrasound system. Complete segregation of the two groups was achieved by averaging the echo amplitude over a selected region in the image. The dependence of the numerical values on the B-scan imaging mode, transducer properties, dynamic range compression curve, and operator scanning technique is discussed in depth.

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Amplitude analysis of pancreatic B-scans: A clinical evaluation of cystic fibrosis

Ultrasonic Imaging ◽

10.1016/0161-7346(80)90203-5 ◽

1980 ◽

Vol 2 (1) ◽

pp. 55-66 ◽

Cited By ~ 3

Author(s):

T Shawker

Keyword(s):

Cystic Fibrosis ◽

Clinical Evaluation ◽

Amplitude Analysis

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Implantable hearing interfaces

10.1093/oso/9780199674923.003.0054 ◽

2018 ◽

Author(s):

Torsten Lehmann ◽

André van Schaik

Keyword(s):

Cochlear Implants ◽

Neural Activity ◽

Dynamic Range ◽

Systems Design ◽

Fundamental Operation ◽

Profound Hearing Loss ◽

Biomedical Implant ◽

Dynamic Range Compression ◽

Hearing Function ◽

Key Aspects

The chapter Implantable hearing interfaces describes the fundamental operation of a commonly available biohybrid system, the cochlear implant, or bionic ear. This neuro-stimulating biomedical implant is very successful in restoring hearing function to people with profound hearing loss. The fundamental operation of the biological cochlea is described and parallels are drawn between key aspects of the biological system and the biohybrid implementation: dynamic range compression, translation of sound to neural activity, and tonotopic mapping. Critical considerations are discussed for simultaneously meeting biological, surgical, and engineering restrictions in successful biohybrid systems design. Finally, challenges in present and future cochlear implants are outlined and directions of current research given.

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Gradient domain high dynamic range compression

Proceedings of the 29th annual conference on Computer graphics and interactive techniques - SIGGRAPH '02 ◽

10.1145/566570.566573 ◽

2002 ◽

Cited By ~ 195

Author(s):

Raanan Fattal ◽

Dani Lischinski ◽

Michael Werman

Keyword(s):

Dynamic Range ◽

High Dynamic Range ◽

Dynamic Range Compression ◽

Gradient Domain ◽

High Dynamic

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A Modified Multi Scale Retinex with Color Restoration Algorithm for Automatic Enhancement of Landsat-5 Remote Sensing Image

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.341-342.893 ◽

2011 ◽

Vol 341-342 ◽

pp. 893-897

Author(s):

Gui Zhou Wang ◽

Guo Jin He

Keyword(s):

Image Enhancement ◽

Dynamic Range ◽

Color Constancy ◽

Human Perception ◽

Histogram Equalization ◽

Image Processing Algorithm ◽

Multi Scale ◽

Dynamic Range Compression ◽

Restoration Algorithm ◽

Color Restoration

The retinex is a human perception based image processing algorithm which provides color constancy and dynamic range compression. The multi scale retinex with color restoration (MSRCR) has shown itself to be a very versatile automatic image enhancement algorithm that simultaneously provides dynamic range compression, color constancy, and color rendition. But the MSRCR results suffer from lower global brightness and partial color distortion. In order to improve the MSRCR method, this paper presents a modified MSRCR algorithm to Landsat-5 image enhancement considering percent liner stretch and histogram adjustment. Finally, the effect of modified MSRCR method on Landsat-5 image enhancement is analyzed and the comparison with other color adjustment methods such as gamma correction and histogram equalization is reported in the experimental results.

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