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| Name | Class |
|---|---|
| Tampere University | OTHER |
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This study investigates how to utilize an algorithm-based virtual grid in lung imaging in intensive care unit patients. The aim is to compare the radiation dose caused by imaging with a virtual grid and a traditional grid and relate this to the achieved image quality. The study aims to determine how the radiation dose can be lowered and still obtain the same diagnostic image quality as using a traditional scatter-limiting lattice.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Taditional Grid | Patients imaged with traditional grid |
| |
| Virtual Grid | Patients imaged with virtual grid |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| X-ray image | Radiation | Bedside x-ray at intensive unit. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Image quality | Compare the radiation dose caused by imaging with a virtual grid and a traditional grid and relate this to the achieved image qualit | 2 years |
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Inclusion Criteria:
Exclusion Criteria:
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Intensive care patients
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Joint Authority for Päijät-Häme Social and Health Care | Lahti | 15850 | Finland |
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| ID | Term |
|---|---|
| D014965 | X-Rays |
| ID | Term |
|---|---|
| D060733 | Electromagnetic Radiation |
| D055590 | Electromagnetic Phenomena |
| D060328 | Magnetic Phenomena |
| D055585 | Physical Phenomena |
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| D011827 | Radiation |
| D011839 | Radiation, Ionizing |