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Chua J, Tan B, Ang M, Nongpiur ME, Tan AC, Najjar RP, Milea D, Schmetterer L. Future clinical applicability of optical coherence tomography angiography. Clin Exp Optom 2018; 102:260-269. [PMID: 30537233 DOI: 10.1111/cxo.12854] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 09/28/2018] [Accepted: 10/12/2018] [Indexed: 12/28/2022] Open
Abstract
Optical coherence tomography angiography (OCT-A) is an emerging technology that allows for the non-invasive imaging of the ocular microvasculature. Despite the wealth of observations and numerous research studies illustrating the potential clinical uses of OCT-A, this technique is currently rarely used in routine clinical settings. In this review, technical and clinical aspects of OCT-A imaging are discussed, and the future clinical potential of OCT-A is considered. An understanding of the basic principles and limitations of OCT-A technology will better inform clinicians of its future potential in the diagnosis and management of ocular diseases.
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Affiliation(s)
- Jacqueline Chua
- Ocular Imaging Group, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Eye, Academic Clinical Program, Duke-NUS Medical School, Singapore
| | - Bingyao Tan
- Ocular Imaging Group, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Marcus Ang
- Ocular Imaging Group, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Eye, Academic Clinical Program, Duke-NUS Medical School, Singapore.,External Disease and Cornea Service, Moorfields Eye Hospital, London, UK
| | - Monisha E Nongpiur
- Ocular Imaging Group, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Eye, Academic Clinical Program, Duke-NUS Medical School, Singapore
| | - Anna Cs Tan
- Ocular Imaging Group, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Eye, Academic Clinical Program, Duke-NUS Medical School, Singapore
| | - Raymond P Najjar
- Ocular Imaging Group, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Eye, Academic Clinical Program, Duke-NUS Medical School, Singapore
| | - Dan Milea
- Ocular Imaging Group, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Eye, Academic Clinical Program, Duke-NUS Medical School, Singapore
| | - Leopold Schmetterer
- Ocular Imaging Group, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Eye, Academic Clinical Program, Duke-NUS Medical School, Singapore.,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
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Tong Y, Hocke LM, Lindsey KP, Erdoğan SB, Vitaliano G, Caine CE, Frederick BD. Systemic Low-Frequency Oscillations in BOLD Signal Vary with Tissue Type. Front Neurosci 2016; 10:313. [PMID: 27445680 PMCID: PMC4928460 DOI: 10.3389/fnins.2016.00313] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 06/21/2016] [Indexed: 11/21/2022] Open
Abstract
Blood-oxygen-level dependent (BOLD) signals are widely used in functional magnetic resonance imaging (fMRI) as a proxy measure of brain activation. However, because these signals are blood-related, they are also influenced by other physiological processes. This is especially true in resting state fMRI, during which no experimental stimulation occurs. Previous studies have found that the amplitude of resting state BOLD is closely related to regional vascular density. In this study, we investigated how some of the temporal fluctuations of the BOLD signal also possibly relate to regional vascular density. We began by identifying the blood-bound systemic low-frequency oscillation (sLFO). We then assessed the distribution of all voxels based on their correlations with this sLFO. We found that sLFO signals are widely present in resting state BOLD signals and that the proportion of these sLFOs in each voxel correlates with different tissue types, which vary significantly in underlying vascular density. These results deepen our understanding of the BOLD signal and suggest new imaging biomarkers based on fMRI data, such as amplitude of low-frequency fluctuation (ALFF) and sLFO, a combination of both, for assessing vascular density.
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Affiliation(s)
- Yunjie Tong
- McLean Imaging Center, McLean HospitalBelmont, MA, USA; Department of Psychiatry, Harvard University Medical SchoolBoston, MA, USA
| | - Lia M Hocke
- McLean Imaging Center, McLean HospitalBelmont, MA, USA; Department of Radiology, University of CalgaryCalgary, AB, Canada
| | - Kimberly P Lindsey
- McLean Imaging Center, McLean HospitalBelmont, MA, USA; Department of Psychiatry, Harvard University Medical SchoolBoston, MA, USA
| | | | - Gordana Vitaliano
- McLean Imaging Center, McLean HospitalBelmont, MA, USA; Department of Psychiatry, Harvard University Medical SchoolBoston, MA, USA
| | | | - Blaise deB Frederick
- McLean Imaging Center, McLean HospitalBelmont, MA, USA; Department of Psychiatry, Harvard University Medical SchoolBoston, MA, USA
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Frangi AF, Taylor ZA, Gooya A. Precision Imaging: more descriptive, predictive and integrative imaging. Med Image Anal 2016; 33:27-32. [PMID: 27373145 DOI: 10.1016/j.media.2016.06.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Revised: 06/15/2016] [Accepted: 06/15/2016] [Indexed: 12/22/2022]
Abstract
Medical image analysis has grown into a matured field challenged by progress made across all medical imaging technologies and more recent breakthroughs in biological imaging. The cross-fertilisation between medical image analysis, biomedical imaging physics and technology, and domain knowledge from medicine and biology has spurred a truly interdisciplinary effort that stretched outside the original boundaries of the disciplines that gave birth to this field and created stimulating and enriching synergies. Consideration on how the field has evolved and the experience of the work carried out over the last 15 years in our centre, has led us to envision a future emphasis of medical imaging in Precision Imaging. Precision Imaging is not a new discipline but rather a distinct emphasis in medical imaging borne at the cross-roads between, and unifying the efforts behind mechanistic and phenomenological model-based imaging. It captures three main directions in the effort to deal with the information deluge in imaging sciences, and thus achieve wisdom from data, information, and knowledge. Precision Imaging is finally characterised by being descriptive, predictive and integrative about the imaged object. This paper provides a brief and personal perspective on how the field has evolved, summarises and formalises our vision of Precision Imaging for Precision Medicine, and highlights some connections with past research and current trends in the field.
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Affiliation(s)
- Alejandro F Frangi
- CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, Electronic and Electrical Engineering Department, University of Sheffield, Sheffield, UK.
| | - Zeike A Taylor
- CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, Mechanical Engineering Department, University of Sheffield, Sheffield, UK.
| | - Ali Gooya
- CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, Electronic and Electrical Engineering Department, University of Sheffield, Sheffield, UK.
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Cerutti S, Madabhushi A, Shah SK, Chon KH. Editorial: TBME Letters Special Section on Multiscale Biomedical Signal and Image Modeling and Analysis. IEEE Trans Biomed Eng 2012; 59:4-7. [DOI: 10.1109/tbme.2011.2178350] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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