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Kaya GU, Onur TÖ. Genetic algorithm based image reconstruction applying the digital holography process with the Discrete Orthonormal Stockwell Transform technique for diagnosis of COVID-19. Comput Biol Med 2022; 148:105934. [PMID: 35961086 PMCID: PMC9344740 DOI: 10.1016/j.compbiomed.2022.105934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 06/28/2022] [Accepted: 07/30/2022] [Indexed: 11/08/2022]
Abstract
World Health Organization has described the real-time reverse transcription-polymerase chain reaction test method for the diagnosis of the novel coronavirus disease (COVID-19). However, the limited number of test kits, the long-term results of the tests, the high probability of the disease spreading during the test and imaging without focused images necessitate the use of alternative diagnostic methods such as chest X-ray (CXR) imaging. The storage of data obtained for the diagnosis of the disease also poses a major problem. This causes misdiagnosis and delays treatment. In this work, we propose a hybrid 3D reconstruction method of CXR images (CXRI) to detect coronavirus pneumonia and prevent misdiagnosis on CXRI. We used the digital holography technique (DHT) for obtaining a priori information of CXRI stored in created digital hologram (CDH). In this way, the elimination of the storage problem that requires high space was revealed. In addition, Discrete Orthonormal S-Transform (DOST) is applied to the reconstructed CDH image obtained by using DHT. This method is called CDH_DHT_DOST. A multiresolution spatial-frequency representation of the lung images that belong to healthy people and diseased people with the COVID-19 virus is obtained by using the CDH_DHT_DOST. Moreover, the genetic algorithm (GA) is adopted for the reconstruction process for optimization of the CDH image and then DOST is applied. This hybrid method is called CDH_GA_DOST. Finally, we compare the results obtained from CDH_DHT_DOST and CDH_GA_DOST. The results show the feasibility of reconstructing CXRI with CDH_GA_DOST. The proposed method holds promises to meet demands for the detection of the COVID-19 virus.
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Kim Y, Marone A, Tang W, Gartshteyn Y, Kim HK, Askanase AD, Kymissis I, Hielscher AH. Flexible optical imaging band system for the assessment of arthritis in patients with systemic lupus erythematosus. BIOMEDICAL OPTICS EXPRESS 2021; 12:1651-1665. [PMID: 33796379 PMCID: PMC7984785 DOI: 10.1364/boe.415575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 01/15/2021] [Accepted: 01/18/2021] [Indexed: 06/12/2023]
Abstract
We have developed a flexible optical imaging system (FOIS) to assess systemic lupus erythematosus (SLE) arthritis in the finger joints. While any part of the body can be affected, arthritis in the finger joints is one of the most common SLE manifestations. There is an unmet need for accurate, low-cost assessment of lupus arthritis that can be easily performed at every clinic visit. Current imaging methods are imprecise, expensive, and time consuming to allow for frequent monitoring. Our FOIS can be wrapped around joints, and multiple light sources and detectors gather reflected and transmitted light intensities. Using data from two SLE patients and two healthy volunteers, we demonstrate the potential of this FOIS for assessment of arthritis in SLE patients.
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Affiliation(s)
- Youngwan Kim
- Columbia University, Department of Electrical Engineering, 500 W. 120th Street, New York, NY 10027, USA
- New York University, Department of Biomedical Engineering, Brooklyn, NY 11201, USA
| | - Alessandro Marone
- New York University, Department of Biomedical Engineering, Brooklyn, NY 11201, USA
| | - Wei Tang
- Columbia University Irving Medical Center, Department of Medicine-Rheumatology, 650 W. 168th Street, New York, NY 10032, USA
| | - Yevgeniya Gartshteyn
- Columbia University Irving Medical Center, Department of Medicine-Rheumatology, 650 W. 168th Street, New York, NY 10032, USA
| | - Hyun K. Kim
- New York University, Department of Biomedical Engineering, Brooklyn, NY 11201, USA
- Columbia University Irving Medical Center, Department of Radiology, 650 W. 168th Street, New York, NY 10032, USA
| | - Anca D. Askanase
- Columbia University Irving Medical Center, Department of Medicine-Rheumatology, 650 W. 168th Street, New York, NY 10032, USA
| | - Ioannis Kymissis
- Columbia University, Department of Electrical Engineering, 500 W. 120th Street, New York, NY 10027, USA
| | - Andreas H. Hielscher
- New York University, Department of Biomedical Engineering, Brooklyn, NY 11201, USA
- Columbia University, Department of Biomedical Engineering, 500 W. 120th Street, New York, NY 10027, USA
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