1. Ake Tzu-Hui Lu

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    1. Mentioned In 10 Articles

    2. Combining Information From 3 Anatomic Regions in the Diagnosis of Glaucoma With Time-Domain Optical Coherence Tomography

      Combining Information From 3 Anatomic Regions in the Diagnosis of Glaucoma With Time-Domain Optical Coherence Tomography
      Purpose: To improve the diagnosis of glaucoma by combining time-domain optical coherence tomography (TD-OCT) measurements of the optic disc, circumpapillary retinal nerve fiber layer (RNFL), and macular retinal thickness. Patients and Methods: Ninety-six age-matched normal and 96 perimetric glaucoma participants were included in this observational, cross-sectional study. Or-logic, support vector machine, relevance vector machine, and linear discrimination function were used to analyze the performances of combined TD-OCT diagnostic variables. Results ...
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    3. Does optic nerve head size variation affect circumpapillary retinal nerve fiber layer thickness measurement by optical coherence tomography?

      Does optic nerve head size variation affect circumpapillary retinal nerve fiber layer thickness measurement by optical coherence tomography?
      Purpose: To determine the relationship between retinal nerve fiber layer (RNFL) thickness, optic disc size and image magnification. Methods: The cohort consisted of 196 normal eyes of 101 participants in the Advanced Imaging for Glaucoma Study (AIGS), a multi-center, prospective, longitudinal study to develop advanced imaging technologies for glaucoma diagnosis. Scanning laser tomography (HRT II) was used to measure disc size. Optical coherence tomography (Stratus) was used to perform circumpapillary ...
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    4. Methods for diagnosing glaucoma utilizing combinations of FD-OCT measurements from three anatomical regions of the eye

      Methods for diagnosing glaucoma utilizing combinations of FD-OCT measurements from three anatomical regions of the eye
      This invention discloses methods and systems for diagnosing glaucoma by combining diagnostic parameters derived from optical coherence tomography images of three different anatomic regions of the eye, including the macular ganglion cell complex (mGCC), the peripapillary nerve fiber layer (ppNFL), and the optic nerve head (ONH). The combined diagnostic parameters form a reduced set of global parameters, which are then fed to pre-trained machine classifiers as input to arrive at ...
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    5. Feature Of The Week 1/24/10: Detection of Macular Ganglion Cell Loss in Glaucoma by Fourier-Domain Optical Coherence Tomography

      Feature Of The Week 1/24/10: Detection of Macular Ganglion Cell Loss in Glaucoma by Fourier-Domain Optical Coherence Tomography
      Feature Of The Week 1/24/10: David Huang was one of the co-inventors of Optical Coherence Tomography and has continued to do pioneering research in OCT from his early days doing PhD work at the Massachusetts Institute of Technology to his current position as a professor of ophthalmology at the Keck School of Medicine at the University of Southern California. A topic recently studied by Dr. Huang and his ...
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    6. Reproducibility of Tear Meniscus Measurement by Fourier-Domain Optical Coherence Tomography: A Pilot Study

      BACKGROUND AND OBJECTIVE To study the reproducibility of tear meniscus measurement with high-speed high-resolution Fourier-domain optical coherence tomography (FD-OCT). PATIENTS AND METHODS Twenty normal participants were enrolled in this prospective study. The lower tear meniscus in the right eye of each subject was imaged by vertical scans centered on the inferior cornea and the lower eyelid using an FD-OCT system (RTVue; Optovue, Inc., Fremont, CA) with a corneal adaptor. The ...
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    7. Detection of Macular Ganglion Cell Loss in Glaucoma by Fourier-Domain Optical Coherence Tomography

      Detection of Macular Ganglion Cell Loss in Glaucoma by Fourier-Domain Optical Coherence Tomography
      Purpose: To map ganglion cell complex (GCC) thickness with high-speed Fourier-domain optical coherence tomography (FD-OCT) and compute novel macular parameters for glaucoma diagnosis.Design: Observational, cross-sectional study.Participants: One hundred seventy-eight participants in the Advanced Imaging for Glaucoma Study, divided into 3 groups: 65 persons in the normal group, 78 in the perimetric glaucoma group (PG), and 52 in the preperimetric glaucoma group (PPG).Methods: The RTVue FD-OCT system was ...
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    8. Correlation of Fourier Domain Optical Coherence Tomography Retinal Nerve Fiber Layer Maps With Visual Fields in Nonarteritic Ischemic Optic Neuropathy

      BACKGROUND AND OBJECTIVE To correlate peripapillary retinal nerve fiber layer (NFL) loss and visual field defects in nonarteritic ischemic optic neuropathy (NAION). PATIENTS AND METHODS Patients with NAION and control subjects were enrolled in a case–control study. Participants were scanned with a Fourier domain optical coherence tomography (OCT) system. Peripapillary NFL thickness was averaged in hemispheric, quadrant, and octant divisions. Standard achromatic static perimetry was used to assess visual ...
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    9. Combining Nerve Fiber Layer Parameters to Optimize Glaucoma Diagnosis with Optical Coherence Tomography

      Purpose To identify the best combination of Stratus optical coherence tomography (OCT) retinal nerve fiber layer (RNFL) thickness parameters for the detection of glaucoma. Design Observational cross-sectional study. Participants Eighty-nine age-matched normal and perimetric glaucoma participants enrolled in the Advanced Imaging for Glaucoma Study. Methods The Zeiss Stratus OCT system was used to obtain the circumpapillary RNFL thickness in both eyes of each participant. Right and left eye clock-hour data ...
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  2. About Ake Tzu-Hui Lu

    Ake Tzu-Hui Lu

    Ake Lu is an assistant researcher in the Department of Human Genetics at University of California, Los Angeles. Her research interests include theoretical derivation in statistical models, computational statistics, biomedical imaging, statistical genetics, data analysis for longitudinal datasets as well as modeling for a stochastic process.