Name
Title | ||
|---|---|---|
A new software scheme for scatter correction based on a simple radiographic scattering model. |
Abstract | ||
|---|---|---|
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 l-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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11517-018-1893-1 | Medical & biological engineering & computing |
Keywords | Field | DocType |
Scatter correction,Software scheme,Radiographic scattering model,Single x-ray image | Computer vision,Visibility,Regularization (mathematics),Software,Radiography,Scattering,Artificial intelligence,Scatter correction,Mathematics | Journal |
Volume | Issue | ISSN |
57 | 2 | 1741-0444 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
16 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| K Kim | 1 | 0 | 0.34 |
| Sungho Kang | 2 | 12 | 6.64 |
| W Kim | 3 | 0 | 0.34 |
| Chulkyu Park | 4 | 0 | 1.69 |
| D. J. Lee | 5 | 13 | 7.08 |
| H. S. Cho | 6 | 0 | 0.68 |
| Won Jun Kang | 7 | 0 | 1.01 |
| S Park | 8 | 0 | 0.34 |
| G Kim | 9 | 0 | 0.68 |
| Hyunwoo Lim | 10 | 0 | 0.68 |
| Hyunna Lee | 11 | 17 | 4.07 |
| Park, J. | 12 | 2 | 1.78 |
| D Jeon | 13 | 0 | 0.34 |
| Y Lim | 14 | 0 | 0.34 |
| Tae-Woo Kim | 15 | 10 | 8.20 |
| JungHwan Oh | 16 | 520 | 44.87 |