During this first year, different algorithms for volume reconstruction from tomographic slices have been tested. A tissue-mimicking phantom made with a mixture of agar and aluminium oxide was sliced at different thicknesses as per pathological standard guidelines. Phantom model was also virtually sliced and reconstructed in software. Results showed that shape-based spline interpolation method was the most precise, but generated a volume underestimation of 0.5%. Nearest neighbour interpolation produced the most accurate values.
|Number of pages||1|
|Publication status||Published - 23 Jun 2017|
|Event||Centre for Doctoral Training in Applied Photonics Annual Conference 2017 - Heriot-Watt University, Edinburgh, United Kingdom|
Duration: 23 Jun 2017 → 23 Jun 2017
|Conference||Centre for Doctoral Training in Applied Photonics Annual Conference 2017|
|Period||23/06/17 → 23/06/17|
- image processing
- biomedical imaging
- tomographic imaging
- image registration
Reines March, G., Ju, X., & Marshall, S. (2017). Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathologic images. Poster session presented at Centre for Doctoral Training in Applied Photonics Annual Conference 2017, Edinburgh, United Kingdom.