دورية أكاديمية
أعرض في EDS

Optical Identification of Diabetic Retinopathy Using Hyperspectral Imaging.

التفاصيل البيبلوغرافية
العنوان: Optical Identification of Diabetic Retinopathy Using Hyperspectral Imaging.
المؤلفون: Wang CY; Department of Ophthalmology, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi 62247, Taiwan., Mukundan A; Department of Mechanical Engineering, National Chung Cheng University, Chiayi 62102, Taiwan., Liu YS; Department of Mechanical Engineering, National Chung Cheng University, Chiayi 62102, Taiwan., Tsao YM; Department of Mechanical Engineering, National Chung Cheng University, Chiayi 62102, Taiwan., Lin FC; Department of Ophthalmology, Kaohsiung Armed Forces General Hospital, Kaohsiung 80284, Taiwan., Fan WS; Department of Ophthalmology, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi 62247, Taiwan., Wang HC; Department of Mechanical Engineering, National Chung Cheng University, Chiayi 62102, Taiwan.; Director of Technology Development, Hitspectra Intelligent Technology Co., Ltd., Kaohsiung 80661, Taiwan.
المصدر: Journal of personalized medicine [J Pers Med] 2023 Jun 01; Vol. 13 (6). Date of Electronic Publication: 2023 Jun 01.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101602269 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4426 (Print) Linking ISSN: 20754426 NLM ISO Abbreviation: J Pers Med Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Basel, Switzerland : MDPI AG, 2011-
مستخلص: The severity of diabetic retinopathy (DR) is directly correlated to changes in both the oxygen utilization rate of retinal tissue as well as the blood oxygen saturation of both arteries and veins. Therefore, the current stage of DR in a patient can be identified by analyzing the oxygen content in blood vessels through fundus images. This enables medical professionals to make accurate and prompt judgments regarding the patient's condition. However, in order to use this method to implement supplementary medical treatment, blood vessels under fundus images need to be determined first, and arteries and veins then need to be differentiated from one another. Therefore, the entire study was split into three sections. After first removing the background from the fundus images using image processing, the blood vessels in the images were then separated from the background. Second, the method of hyperspectral imaging (HSI) was utilized in order to construct the spectral data. The HSI algorithm was utilized in order to perform analysis and simulations on the overall reflection spectrum of the retinal image. Thirdly, principal component analysis (PCA) was performed in order to both simplify the data and acquire the major principal components score plot for retinopathy in arteries and veins at all stages. In the final step, arteries and veins in the original fundus images were separated using the principal components score plots for each stage. As retinopathy progresses, the difference in reflectance between the arteries and veins gradually decreases. This results in a more difficult differentiation of PCA results in later stages, along with decreased precision and sensitivity. As a consequence of this, the precision and sensitivity of the HSI method in DR patients who are in the normal stage and those who are in the proliferative DR (PDR) stage are the highest and lowest, respectively. On the other hand, the indicator values are comparable between the background DR (BDR) and pre-proliferative DR (PPDR) stages due to the fact that both stages exhibit comparable clinical-pathological severity characteristics. The results indicate that the sensitivity values of arteries are 82.4%, 77.5%, 78.1%, and 72.9% in the normal, BDR, PPDR, and PDR, while for veins, these values are 88.5%, 85.4%, 81.4%, and 75.1% in the normal, BDR, PPDR, and PDR, respectively.
References: Diabetes Care. 2004 Oct;27(10):2540-53. (PMID: 15451934)
IEEE Trans Med Imaging. 1998 Apr;17(2):263-73. (PMID: 9688158)
Ophthalmology. 2018 Oct;125(10):1608-1622. (PMID: 29776671)
Clin Geriatr Med. 1999 Feb;15(1):25-46, v-vi. (PMID: 9855657)
Comput Med Imaging Graph. 2018 Sep;68:1-15. (PMID: 29775951)
Sensors (Basel). 2021 Feb 08;21(4):. (PMID: 33567591)
Cancers (Basel). 2022 Sep 01;14(17):. (PMID: 36077827)
Diabetes Res Clin Pract. 2011 Dec;94(3):311-21. (PMID: 22079683)
Opt Lett. 2000 Jan 15;25(2):111-3. (PMID: 18059799)
Cancers (Basel). 2021 Sep 13;13(18):. (PMID: 34572819)
Sensors (Basel). 2022 Jan 19;22(3):. (PMID: 35161504)
J Clin Med. 2020 May 26;9(6):. (PMID: 32466524)
Int J Gen Med. 2015 Aug 25;8:267-73. (PMID: 26345217)
Artif Intell Med. 2019 Mar;94:96-109. (PMID: 30871687)
Sensors (Basel). 2019 Jul 11;19(14):. (PMID: 31336796)
IEEE Trans Med Imaging. 2004 Apr;23(4):501-9. (PMID: 15084075)
FASEB J. 2004 Sep;18(12):1450-2. (PMID: 15231732)
IEEE Trans Med Imaging. 2016 Nov;35(11):2369-2380. (PMID: 27046869)
Comput Math Methods Med. 2022 Jul 18;2022:2423333. (PMID: 35898483)
Br J Ophthalmol. 1999 Aug;83(8):902-10. (PMID: 10413690)
IEEE Rev Biomed Eng. 2010;3:169-208. (PMID: 22275207)
Diabetes Care. 2009 Aug;32(8):1556-62. (PMID: 19638526)
Sensors (Basel). 2022 Sep 26;22(19):. (PMID: 36236407)
Diabetes Care. 2017 Mar;40(3):412-418. (PMID: 28223445)
Int J Mol Sci. 2022 Apr 25;23(9):. (PMID: 35563136)
IEEE Trans Med Imaging. 2011 Jan;30(1):146-58. (PMID: 20699207)
Biosensors (Basel). 2022 Jun 13;12(6):. (PMID: 35735553)
Sensors (Basel). 2022 Aug 19;22(16):. (PMID: 36015992)
J Pers Med. 2022 Jul 25;12(8):. (PMID: 35893299)
J Clin Med. 2021 Sep 02;10(17):. (PMID: 34501431)
Nanomaterials (Basel). 2021 Dec 31;12(1):. (PMID: 35010085)
Artif Intell Med. 2021 Aug;118:102116. (PMID: 34412839)
معلومات مُعتمدة: NSTC 111-2221-E-194-007 National Science and Technology Council of Taiwan; DTCRD112-C-11 Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation-National Chung Cheng University Joint Research Program
فهرسة مساهمة: Keywords: fundus imaging; hyperspectral imaging; principal component analysis
تواريخ الأحداث: Date Created: 20230628 Latest Revision: 20230701
رمز التحديث: 20230701
مُعرف محوري في PubMed: PMC10303351
DOI: 10.3390/jpm13060939
PMID: 37373927
قاعدة البيانات: MEDLINE
الوصف
تدمد:2075-4426
DOI:10.3390/jpm13060939