Two-year clinical experience with a computed radiography system

Kangarloo, Hooshang; Boechat, M. Ines; Barbaric, ZL; Taira, Rk K.; Cho, Ps S.; Mankovich, Nj J.; Ho, Bk K. T.; Eldredge, Sl L.; Huang, Haikun

doi:10.2214/ajr.151.3.605

Cited by 32 publications

(3 citation statements)

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“…In a PACS (Picture Archiving and Communication System), images are acquired from several modalities including CR (Computed Radiography) [1][2][3][4][5][6][7][8]. An image acquisition device is interfaced to the PACS by an acquisition host computer.…”

Section: Introductionmentioning

confidence: 99%

<title>Preprocessing functions for computed radiography images in a PACS environment</title>

McNitt‐Gray¹,

Piętka²,

Huang³

1992

SPIE Proceedings

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In a PACS (Picture Archiving and Communications System), images are acquired from several modalities including CR (Computed Radiography). This modality has unique image characteristics and presents several problems that need to be resolved before the image is available for viewing at a display workstation. A set of preprocessing functions have been applied to all CR images in a PACS environment to enhance the display of images. The first function reformats CR images that are acquired with different plate sizes to a standard size for display. Another function removes the distracting white background caused by the collimation used at the time of exposure. A third function determines the orientation of each image and rotates those images that are in non-standard positions into a standard viewing position. Another function creates a default look-up table based on the gray levels actually used by the image (instead of allocated gray levels). Finally, there is a function which creates (for chest images only) the piece-wise linear look-up tables that can be applied to enhance different tissue densities.These functions have all been implemented in a PACS environment. Each of these functions have been very successful in improving the viewing conditions of CR images and contribute to the clinical acceptance of PACS by reducing the effort required to display CR images.

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Section: Introductionmentioning

confidence: 99%

<title>Preprocessing functions for computed radiography images in a PACS environment</title>

McNitt‐Gray¹,

Piętka²,

Huang³

1992

SPIE Proceedings

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show abstract

“…Since the conventional computer architecture uses a byte aligned format, each 10-bit pixel is treated as 2 bytes worth of data, the entire image then requires 8 megabytes (Mbytes) of disk space. Our experience with a clinical picture archiving and communication system (PACS) in the pediatric radiology section indicated that at normal procedural load, approximately 1800 images are produced per month (Kangarloo et al 1988), filling one Hitachi optical disk juke box (64 platters, 2.6 gigabyte/platter) to capacity in two years. Transferring images within a radiological department, from either acquisition to storage or storage to review, also suffers from severe communication bottleneck when a high collision rate cuts ethernet performance to under 1 Mbit/s.…”

Section: Introductionmentioning

confidence: 99%

Full-frame cosine transform image compression for medical and industrial applications

Chao

et al. 1991

Machine Vis. Apps.

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Abstract:Full-frame image compression capable of a 10 : 1 ratio or higher was developed for radiological applications where block artifacts are not acceptable. Applications in machine vision with similar stringencies can utilize the same principles and hardware design. Subsecond compression speed for image sizes up to 1K x 1K x 8 can be achieved by DMA and DSP designs using off-the-shelf components and customized bus architecture. Successions of completed hardware module design and proposed enhancements are reported with technical details. The possibility of 512 x 512 x 8 image compression in real time is also explored with design examples.

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“…It offers potential advantages over filmscreen radiography, such as image archiving, transmission, processing and display (16). Greater dynamic range and increased detector efficiency (15, 21) results in fewer repeat exposures (6,10,14) and allows lower radiation doses (6,14,16,17). Furthermore, the images may be evaluated only on monitors, eliminating film-based images in radiology departments.…”

mentioning

confidence: 99%

Film-Screen Vs. Digital Radiography in Rheumatoid Arthritis of the Hand

et al. 1994

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In a prospective investigation the diagnostic accuracy of filmscreen and digital radiography in rheumatoid arthritis of hands was compared. Seventy hands of 36 patients with established rheumatoid arthritis were included in the study. Each of 11 joints in every hand was evaluated regarding the following radiologic parameters: soft tissue swelling, joint space narrowing, erosions and periarticular osteopenia. The digital images were obtained with storage phosphor image plates and evaluated in 2 forms; as digital hard-copy on film and on a monitor of an interactive workstation. The digital images had a resolution of either 3.33 or 5.0 lp/mm. ROC curves were constructed and comparing the area under the curves no significant difference was found between the 3 different imaging forms in either resolution group for soft tissue swelling, joint space narrowing and erosions. The film-screen image evaluation of periarticular osteopenia was significantly better than the digital hard-copy one in the 3.33 lplmm resolution group, but no significant difference was found in the 5.0 lplmm group. These results support the view that currently available digital systems are capable of adequate diagnostic performance.

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Two-year clinical experience with a computed radiography system

Cited by 32 publications

References 1 publication

<title>Preprocessing functions for computed radiography images in a PACS environment</title>

<title>Preprocessing functions for computed radiography images in a PACS environment</title>

Full-frame cosine transform image compression for medical and industrial applications

Film-Screen Vs. Digital Radiography in Rheumatoid Arthritis of the Hand

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