Smartphone imaging repository: a novel method for creating a CT image bank
Authors/Creators
- 1. Dell Medical School
- 2. Seton Dell Medical School Stroke Institute
- 3. RNDS
- 4. Amita Health
Description
In a submitted manuscript, test an image capture method using smartphone camera video-derived images of brain computed tomography (CT) scans of traumatic intracranial hemorrhage. The deidentified videos are emailed or uploaded from the emergency department for central adjudication.
We measured the time in seconds it took to capture and send the files. The primary outcomes were hematoma volume measured by ABC/2, Marshall Scale, midline shift measurement, image quality by contrast-to-noise ratio (CNR) and time to capture. A radiologist and an imaging scientist applied ABC/2 method, calculated the Marshall scale and midline shift on the data acquired on different smartphones and the PACS in a randomized order. We calculate the intraclass correlation coefficient (ICC). We measured image quality by calculating contrast-to-noise ratio (CNR). We report summary statistics on time to capture in the smartphone group without a comparator.
Files
frie_cnr.csv
Files
(10.2 kB)
| Name | Size | |
|---|---|---|
|
md5:1dc2cd790ee03f0a5a1f838b8ad6fd82
|
838 Bytes | Preview Download |
|
md5:9fad89dd7282b9e345d6a7668fa32e7a
|
379 Bytes | Preview Download |
|
md5:df976c6d907ff136cd51dbbf5c6b4edf
|
623 Bytes | Preview Download |
|
md5:275c8960701dcd20505774af88b38949
|
5.3 kB | Download |
|
md5:22aa29e44e1e20d617a18d3ca6ff6e51
|
3.1 kB | Preview Download |