mlsanityData to 7 Oct 2026

Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans

arXiv 2409.09387 ↗First posted 14 Sep 2024eess.IV cs.CVcited by 3

Not on the map. Why?

Abstract (arXiv)

The Orientation Distribution Function (ODF) characterizes key brain microstructural properties and plays an important role in understanding brain structural connectivity. Recent works introduced Implicit Neural Representation (INR) based approaches to form a spatially aware continuous estimate of the ODF field and demonstrated promising results in key tasks of interest when compared to conventional discrete approaches. However, traditional INR methods face difficulties when scaling to large-scale images, such as modern ultra-high-resolution MRI scans, posing challenges in learning fine structures as well as inefficiencies in training and inference speed. In this work, we propose HashEnc, a grid-hash-encoding-based estimation of the ODF field and demonstrate its effectiveness in retaining structural and textural features. We show that HashEnc achieves a 10% enhancement in image quality while requiring 3x less computational resources than current methods. Our code can be found at https://github.com/MunzerDw/NODF-HashEnc.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 19 of its 40 references that are in the map. First posted on arXiv 14 Sep 2024.

Builds on

19 of 40 references.

References · 19

  1. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  2. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,682
  3. 2020Implicit Neural Representations with Periodic Activation Functionscited by 2,214
  4. 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,037
  5. 2020pixelNeRF: Neural Radiance Fields from One or Few Imagescited by 1,574
  6. 2019PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitizationcited by 818
  7. 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 672
  8. 2023WIRE: Wavelet Implicit Neural Representationscited by 220
  9. 2023Implicit Neural Representation in Medical Imaging: A Comparative Surveycited by 88
  10. 2020MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Frameworkcited by 78
  11. 2021Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fieldscited by 69
  12. 2022MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-raycited by 66
7 more
  1. 2021An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representationcited by 47
  2. 2021CoIL: Coordinate-based Internal Learning for Imaging Inverse Problemscited by 33
  3. 2021Binary segmentation of medical images using implicit spline representations and deep learningcited by 7
  4. 2023Neural Orientation Distribution Fields for Estimation and Uncertainty Quantification in Diffusion MRIcited by 6
  5. 2021NeRD: Neural Representation of Distribution for Medical Image Segmentationcited by 5
  6. 2023Neural Spherical Harmonics for structurally coherent continuous representation of diffusion MRI signalcited by 5
  7. 2023Learning Spatially-Continuous Fiber Orientation Functionscited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025Implicit neural representations for accurate estimation of the standard model of white mattercited by 2
  2. 2025Rapid Whole Brain Motion-robust Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representationcited by 0
  3. 2026Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolutioncited by 0