With the advancement of high throughput and high resolution volumetric brain imaging, there is an unmet need to trace dense neuron fibers and study long-range neuron connectivity. An initial pipeline is described for processing cellular-level neuronal fiber data acquired by a new super resolution imaging method called Magnified Analysis of the Proteome (MAP). First, a multiscale vessel enhancement filter is applied to segment fibers of different diameters. Morphological operations are then employed to extract the fiber centerlines, from which a 3D connectivity map is computed. Applying this approach to an initial data set yielded 2% equal error rate for segmentation and 92% accuracy for end-to-end fiber tracing (22 out of 24 hand-traced fibers). Future work calls for scaling up the algorithm to process much larger brain datasets (terabytes and above) and performing graph-based long-range connectivity analysis. This work has the potential to extend our knowledge on brain networks at the cellular level.
|Title of host publication||2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017|
|Publisher||IEEE Computer Society|
|Number of pages||5|
|Publication status||Published - 2017 Jun 15|
|Event||14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia|
Duration: 2017 Apr 18 → 2017 Apr 21
|Name||Proceedings - International Symposium on Biomedical Imaging|
|Other||14th IEEE International Symposium on Biomedical Imaging, ISBI 2017|
|Period||17/4/18 → 17/4/21|
Bibliographical notePublisher Copyright:
© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging