Chapter 4: Slice-Timing Correction — Andy's Brain Book 1.0 documentation
Unlike a photograph, in which the entire picture is taken in a single moment, an fMRI volume is acquired in slices. Each of these slices takes time to acquire - from tens to hundreds of milliseconds.
Chapter 4: Slice-Timing Correction Unlike a photograph, in which the entire picture is taken in a single moment, an fMRI volume is acquired in slices. Each of these slices takes time to acquire - from tens to hundreds of milliseconds. The two most commonly used methods for creating volumes are sequential and interleaved slice acquisition. Sequential slice acquisition acquires each adjacent slice consecutively, either bottom-to-top or top-to-bottom. Interleaved slice acquisition acquires every other slice, and then fills in the gaps on the second pass. Both of these methods are illustrated…
saved by
related reading
- Session 3 Group Analysis | Data Analysis in Neuroimaging (MRI) 2023/24cn.pages.ynic.york.ac.uk
- Brain Extraction (also known as “skullstripping”) — Andy's Brain Book 1.0 documentationandysbrainbook.readthedocs.io
- Registration and Normalization — Andy's Brain Book 1.0 documentationandysbrainbook.readthedocs.io
- Chapter 6 - The Analysis of fMRI Datausers.fmrib.ox.ac.uk
- FSL - FMRIB Software Libraryfsl.fmrib.ox.ac.uk
- FSL - FMRIB Software Libraryfsl.fmrib.ox.ac.uk
- Functional Connectivity and the CONN Toolbox — Andy's Brain Book 1.0 documentationandysbrainbook.readthedocs.io
- An underleveraged modality in neuroscience | Abhi Upadhyayaxu.sh
- Learned Spectrumtheodore.net
- Functional magnetic resonance imaging - Wikipediaen.wikipedia.org
- Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priorsmedarc-ai.github.io
- MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Datamedarc-ai.github.io