A new software scheme for scatter correction based on a simple radiographic scattering model.
In common radiography, image contrast is often limited due mainly to scattered x-rays and noise, decreasing the quantitative usefulness of x-ray images. Several scatter reduction methods based on software correction schemes have been extensively investigated in an attempt to overcome these difficult...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 57; no. 2; pp. 489 - 504 |
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| Autores principales: | , , , , , , , , , , , , , , , |
| Formato: | diagnostic images equations & formulas pictorial research Journal Article |
| Publicado: |
Springer Nature
Feb2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=134311239&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 134311239 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Feb2019 vid: 57 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 134311239 134311239 NLM30232700 134311239 10.1007/s11517-018-1893-1 NLM30232700 134311239 ppf: 489 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A new software scheme for scatter correction based on a simple radiographic scattering model. aug: au: Kim, K. Kang, S. Kim, W. Park, C. Lee, D. Cho, H. Kang, W. Park, S. Kim, G. Lim, H. Lee, H. Park, J. Jeon, D. Lim, Y. Woo, T. Oh, J. affil: Department of Radiation Convergence Engineering, Yonsei University, 26493, Wonju, South Korea sug: subj: Radiographic Image Interpretation, Computer-Assisted Methods Algorithms Software X-Rays Radiographic Image Enhancement Methods Phantoms, Imaging Scattering, Radiation Funding Source Human ab: In common radiography, image contrast is often limited due mainly to scattered x-rays and noise, decreasing the quantitative usefulness of x-ray images. Several scatter reduction methods based on software correction schemes have been extensively investigated in an attempt to overcome these difficulties, most of which are based on measurement, mathematical-physical modeling, or a combination of both. However, those methods require special equipment, system geometry, and extra manual work to measure scatter characteristics. In this study, we investigated a new software scheme for scatter correction based on a simple radiographic scattering model where the intensity of the scattered x-rays was directly estimated from a single x-ray image using a weighted l1-norm contextual regularization framework. We implemented the proposed algorithm and performed a systematic simulation and experiment to demonstrate its viability. We also conducted some clinical image studies using patient's image data of breast and L-spine to verify the clinical effectiveness of the proposed scheme. Our results indicate that the degradation of image characteristics by scattered x-rays and noise was effectively recovered by using the proposed software scheme, thus improving radiographic visibility considerably. Graphical abstract The schematic illustrations of scatter suppression methods by using a an antiscatter grid and b a scatter estimation algorithm. pubtype: Academic Journal doctype: diagnostic images equations & formulas pictorial research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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