Combined registration and motion correction of longitudinal retinal OCT data

Andrew Lang, Aaron Carass, Omar Al-Louzi, Pavan Bhargava, Sharon Solomon, Peter Calabresi, Jerry Ladd Prince

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

Abstract

Optical coherence tomography (OCT) has become an important modality for examination of the eye. To measure layer thicknesses in the retina, automated segmentation algorithms are often used, producing accurate and reliable measurements. However, subtle changes over time are difficult to detect since the magnitude of the change can be very small. Thus, tracking disease progression over short periods of time is difficult. Additionally, unstable eye position and motion alter the consistency of these measurements, even in healthy eyes. Thus, both registration and motion correction are important for processing longitudinal data of a specific patient. In this work, we propose a method to jointly do registration and motion correction. Given two scans of the same patient, we initially extract blood vessel points from a fundus projection image generated on the OCT data and estimate point correspondences. Due to saccadic eye movements during the scan, motion is often very abrupt, producing a sparse set of large displacements between successive B-scan images. Thus, we use lasso regression to estimate the movement of each image. By iterating between this regression and a rigid point-based registration, we are able to simultaneously align and correct the data. With longitudinal data from 39 healthy control subjects, our method improves the registration accuracy by 43% compared to simple alignment to the fovea and 8% when using point-based registration only. We also show improved consistency of repeated total retina thickness measurements.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2016: Image Processing
PublisherSPIE
Volume9784
ISBN (Electronic)9781510600195
DOIs
Publication statusPublished - 2016
EventMedical Imaging 2016: Image Processing - San Diego, United States
Duration: Mar 1 2016Mar 3 2016

Other

OtherMedical Imaging 2016: Image Processing
CountryUnited States
CitySan Diego
Period3/1/163/3/16

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Keywords

  • Lasso regression
  • Longitudinal data
  • Motion correction
  • OCT
  • Point-based registration
  • Retina

ASJC Scopus subject areas

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

Cite this

Lang, A., Carass, A., Al-Louzi, O., Bhargava, P., Solomon, S., Calabresi, P., & Prince, J. L. (2016). Combined registration and motion correction of longitudinal retinal OCT data. In Medical Imaging 2016: Image Processing (Vol. 9784). [97840X] SPIE. https://doi.org/10.1117/12.2217157