Segmentation of Organs at Risk for Radiotherapy Planning
32 mins 48 secs,
477.21 MB,
MPEG-4 Video
640x360,
29.97 fps,
44100 Hz,
1.93 Mbits/sec
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About this item
| Description: |
Spencer, J (University of Liverpool) - Boukerroui, D (Liverpool Centre for Mathematics in Healthcare)
Wednesday 19th April 2017 - 14:05 to 14:40 |
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| Created: | 2017-04-24 14:42 |
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| Collection: | Newton Gateway to Mathematics |
| Publisher: | Isaac Newton Institute |
| Copyright: | Spencer, J - Boukerroui, D |
| Language: | eng (English) |
| Abstract: | Segmentation of Organs at Risk for Radiotherapy Planning - Abstract (part 2)
In radiotherapy planning the anatomical contouring of organs at risk (OAR) with speed and accuracy is important. In this talk we introduce a method to compute a semiautomatic 3D segmentation of certain OAR, by approximating a minimal surface from a network of minimal paths. We briefly discuss some of the challenges inherent to this method and detail some proposed improvements. Finally, results are presented for the 3D segmentation of the kidney based on three contours from the surface of the object. |
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| iPod Video | 480x270 | 521.97 kbits/sec | 125.40 MB | View | Download | |
| MP3 | 44100 Hz | 249.78 kbits/sec | 60.07 MB | Listen | Download | |
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