A pattern classification approach to aorta calcium scoring in radiographs
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
A method for automated detection of calcifications in the abdominal aorta from standard X-ray images is presented. Pixel classification based on local image structure is combined with a spatially varying prior that is derived from a statistical model of the combined shape variation in aorta and spine.
Leave-one-out experiments were performed on 87 standard lateral lumbar spine X-rays, resulting in on average 93.7% of the pixels within the aorta being correctly classified.
| Original language | English |
|---|---|
| Title of host publication | Computer Vision for Biomedical Image Applications : ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends |
| Publisher | <Forlag uden navn> |
| Publication date | 2005 |
| Pages | 170-177 |
| ISBN (Print) | 978-3-540-29411-5 |
| DOIs | |
| Publication status | Published - 2005 |
| Externally published | Yes |
| Event | First International Workshop Computer Vision for Biomedical Image Applications (CVBIA) - Beijing, China Duration: 29 Nov 2010 → … Conference number: 1 |
Conference
| Conference | First International Workshop Computer Vision for Biomedical Image Applications (CVBIA) |
|---|---|
| Nummer | 1 |
| Land | China |
| By | Beijing |
| Periode | 29/11/2010 → … |
| Series | Lecture notes in computer science |
|---|---|
| Volume | 3765/2005 |
| ISSN | 0302-9743 |
ID: 4924937