Inter-scanner variation independent descriptors for constrained diffeomorphic demons registration of retina OCT

S. Reaungamornrat, A. Carass, Y. He, Shiv Saidha, Peter Calabresi, Jerry Ladd Prince

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Purpose: OCT offers high in-plane micrometer resolution, enabling studies of neurodegenerative and ocular-disease mechanisms via imaging of the retina at low cost. An important component to such studies is inter-scanner deformable image registration. Image quality of OCT, however, is suboptimal with poor signal-to-noise ratio and through-plane resolution. Geometry of OCT is additionally improperly defined. We developed a diffeomorphic deformable registration method incorporating constraints accommodating the improper geometry and a decentralized-modality-insensitiveneighborhood-descriptors (D-MIND) robust against degradation of OCT image quality and inter-scanner variability. Method: The method, called D-MIND Demons, estimates diffeomorphisms using D-MINDs under constraints on the direction of velocity fields in a MIND-Demons framework. Descriptiveness of D-MINDs with/without denoising was ranked against four other shape/texture-based descriptors. Performance of D-MIND Demons and its variants incorporating other descriptors was compared for cross-scanner, intra- and inter-subject deformable registration using clinical retina OCT data. Result: D-MINDs outperformed other descriptors with the difference in mutual descriptiveness between high-contrast and homogenous regions > 0.2. Among Demons variants, D-MIND-Demons was computationally efficient, demonstrating robustness against OCT image degradation (noise, speckle, intensity-non-uniformity, and poor throughplane resolution) and consistent registration accuracy [(4±4 μm) and (4±6 μm) in cross-scanner intra- and inter-subject registration] regardless of denoising. Conclusions: A promising method for cross-scanner, intra- and inter-subject OCT image registration has been developed for ophthalmological and neurological studies of retinal structures. The approach could assist image segmentation, evaluation of longitudinal disease progression, and patient population analysis, which in turn, facilitate diagnosis and patient-specific treatment.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2018
Subtitle of host publicationImage Processing
PublisherSPIE
Volume10574
ISBN (Electronic)9781510616370
DOIs
StatePublished - Jan 1 2018
EventMedical Imaging 2018: Image Processing - Houston, United States
Duration: Feb 11 2018Feb 13 2018

Other

OtherMedical Imaging 2018: Image Processing
CountryUnited States
CityHouston
Period2/11/182/13/18

Fingerprint

retina
Image registration
Image quality
scanners
Retina
Degradation
Geometry
Speckle
Image segmentation
Signal to noise ratio
Textures
Imaging techniques
Eye Diseases
Signal-To-Noise Ratio
Neurodegenerative Diseases
degradation
Disease Progression
Noise
Costs
geometry

Keywords

  • deformable image registration
  • Demons algorithm
  • descriptors
  • diffeomorphism
  • OCT
  • optical coherence tomography

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

Inter-scanner variation independent descriptors for constrained diffeomorphic demons registration of retina OCT. / Reaungamornrat, S.; Carass, A.; He, Y.; Saidha, Shiv; Calabresi, Peter; Prince, Jerry Ladd.

Medical Imaging 2018: Image Processing. Vol. 10574 SPIE, 2018. 105741B.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reaungamornrat, S, Carass, A, He, Y, Saidha, S, Calabresi, P & Prince, JL 2018, Inter-scanner variation independent descriptors for constrained diffeomorphic demons registration of retina OCT. in Medical Imaging 2018: Image Processing. vol. 10574, 105741B, SPIE, Medical Imaging 2018: Image Processing, Houston, United States, 2/11/18. https://doi.org/10.1117/12.2293790
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