Digital "flipbooks" for enhanced visual assessment of simple and complex brain tumors.
Nicholas S ChoViên Lam LeFrancesco SanvitoSonoko OshimaJayla HarperSaewon ChunCatalina RaymondAlbert LaiPhioanh Leia NghiemphuJingwen YaoRichard EversonNoriko SalamonTimothy F CloughesyBenjamin M EllingsonPublished in: Neuro-oncology (2024)
Typical longitudinal radiographic assessment of brain tumors relies on side-by-side qualitative visualization of serial magnetic resonance images (MRIs) aided by quantitative measurements of tumor size. However, when assessing slowly-growing tumors and/or complex tumors, side-by-side visualization and quantification may be difficult or unreliable. Whole-brain, patient-specific "digital flipbooks" of longitudinal scans are a potential method to augment radiographic side-by-side reads in clinical settings by enhancing the visual perception of changes in tumor size, mass effect, and infiltration across multiple slices over time. In this approach, co-registered, consecutive MRI scans are displayed in a slide deck, where one slide displays multiple brain slices of a single timepoint in an array (e.g. 3x5 "mosaic" view of slices). The flipbooks are viewed similar to an animated flipbook of cartoons/photos so that subtle radiographic changes are visualized via perceived motion when scrolling through the slides. Importantly, flipbooks can be created easily with free, open-source software. This article describes the step-by-step methodology for creating flipbooks and discusses clinical scenarios for which flipbooks are particularly useful. Example flipbooks are provided in the Online Supplemental Material.
Keyphrases
- magnetic resonance
- contrast enhanced
- computed tomography
- white matter
- resting state
- magnetic resonance imaging
- high resolution
- climate change
- mental health
- cross sectional
- depressive symptoms
- systematic review
- healthcare
- social media
- functional connectivity
- machine learning
- multiple sclerosis
- convolutional neural network
- high throughput
- high density