研究生: |
李彬華 Lee, Pin-Hua |
---|---|
論文名稱: |
基於影像自動分割技術對4維全心臟光聲資料進行量化分析用以評估纖維化之方法 An Automatic Segmentation-based Method for Quantified Analysis of 4D Whole-heart Optoacoustic Data to Assess Cardiac Fibrosis |
指導教授: |
林曉均
Lin, Hsiao-Chun Amy |
口試委員: |
王廷瑋
Wang, Ting-Wei 宋雁翎 Sung, Yen-Ling |
學位類別: |
碩士 Master |
系所名稱: |
原子科學院 - 生醫工程與環境科學系 Department of Biomedical Engineering and Environmental Sciences |
論文出版年: | 2025 |
畢業學年度: | 113 |
語文別: | 中文 |
論文頁數: | 73 |
中文關鍵詞: | 心臟纖維化 、光聲斷層掃描 、逆行心臟灌注 、醫學影像處理 、特徵統計分析 |
外文關鍵詞: | Cardiac Fibrosis, Optoacoustic Tomography, Retrograde Heart Perfusion, Medical Image Processing, Feature Statistical Analysis |
相關次數: | 點閱:61 下載:0 |
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心血管疾病是全球最主要的致死原因之一,高死亡率使其成為現今醫學領域亟需解決的重要問題。纖維化作為心血管疾病一個關鍵的病理過程,其顯著影響心臟的舒張與收縮功能,嚴重時還可能會導致心臟衰竭。儘管傳統影像技術在提供心臟結構和功能的基本資訊上發揮了重要作用,但在具備分子對比度情況下要實現完整心臟即時動態影像時仍存在技術瓶頸,限制了纖維化病徵的精確評估。
在本研究中,通過Langendorff裝置使心臟在體外穩定的環境中,保留了完整的生理功能,並利用光聲斷層掃描技術獲取4維全心臟資料。數據處理部分,首先進行重建參數設定與濾波優化,以確保影像具有較高的訊噪比。接著藉由所提出的演算法對心臟影像進行自動分割,識別邊緣與背景區域。後續在針對特徵值進行強化,以提取用以量化纖維化的生理資訊。
實驗發現量化心臟尺寸大小和舒張收縮週期中的體積變化差異,可用於分析纖維化對心臟結構與功能的影響。結果顯示,在680 nm雷射波長激發下獲取的數據,具有最明顯的特徵差異。纖維化狀態下的心臟尺寸會大於健康狀態(約8.5%,p = 0.0043),而其在舒張收縮週期中的體積變化差異則小於健康狀態(約4.28%,p = 0.0001),表明了纖維化疾病會對心臟產生負面影響。
Cardiovascular disease remains one of the foremost causes of mortality globally, presenting a critical challenge in contemporary medicine due to its elevated mortality rates. Fibrosis, as a pivotal pathological process in cardiovascular disease, profoundly impairs both diastolic and systolic cardiac functions. In advanced stages, fibrosis can culminate in heart failure. While conventional imaging modalities provide fundamental insights into cardiac structure and function, they are inherently limited. Achieving real-time dynamic imaging of the entire heart with molecular contrast remains challenging, thereby restricting precise evaluation of fibrosis.
In this study, an ex vivo model was employed using the Langendorff apparatus to maintain cardiac stability and preserve physiological integrity. Four-dimensional whole-heart data were acquired through optoacoustic tomography, chosen for its ability to provide high-resolution imaging with molecular contrast, enabling detailed visualization of cardiac dynamics that other modalities could not achieve. During the data processing phase, reconstruction parameters and filtering techniques were optimized to maximize the signal-to-noise ratio. Following this, an automated segmentation algorithm was utilized to delineate cardiac boundaries from the background, facilitating accurate image analysis. Subsequently, feature enhancement was conducted to extract key physiological metrics for fibrosis quantification.
Experimental findings demonstrated that assessing differences in cardiac size and volumetric changes throughout the diastolic and systolic phases provides a robust framework for evaluating the effects of fibrosis on cardiac morphology and function. Specifically, data acquired under 680 nm laser wavelength excitation revealed the most pronounced feature distinctions. The fibrotic heart exhibited a significantly larger size compared to the healthy heart (approximately 8.5%, p = 0.0043) , whereas the volumetric change during the diastolic-systolic cycle was notably reduced (approximately 4.28%, p = 0.0001) , underscoring the deleterious impact of fibrosis on cardiac functionality. These changes imply that fibrosis not only structurally alters the heart but also significantly impairs its ability to effectively contract and relax, which may contribute to the progression towards heart failure and reduced cardiac efficiency in clinical settings.
[1] S. Hinderer and K. Schenke-Layland, "Cardiac fibrosis - A short review of causes and therapeutic strategies," Adv Drug Deliv Rev, vol. 146, pp. 77-82, Jun 2019, doi: 10.1016/j.addr.2019.05.011.
[2] M. Stellato et al., "The AP-1 transcription factor Fosl-2 drives cardiac fibrosis and arrhythmias under immunofibrotic conditions," Communications Biology, vol. 6, no. 1, p. 161, 2023.
[3] H. A. Lin et al., "Characterization of Cardiac Dynamics in an Acute Myocardial Infarction Model by Four-Dimensional Optoacoustic and Magnetic Resonance Imaging," Theranostics, vol. 7, no. 18, pp. 4470-4479, 2017, doi: 10.7150/thno.20616.
[4] R. M. Bell, M. M. Mocanu, and D. M. Yellon, "Retrograde heart perfusion: the Langendorff technique of isolated heart perfusion," J Mol Cell Cardiol, vol. 50, no. 6, pp. 940-50, Jun 2011, doi: 10.1016/j.yjmcc.2011.02.018.
[5] Ç. Özsoy, A. Özbek, M. Reiss, X. L. Deán-Ben, and D. Razansky, "Ultrafast four-dimensional imaging of cardiac mechanical wave propagation with sparse optoacoustic sensing," Proc Natl Acad Sci U S A, vol. 118, no. 45, Nov 9 2021, doi: 10.1073/pnas.2103979118.
[6] C. Frantz, K. M. Stewart, and V. M. Weaver, "The extracellular matrix at a glance," Journal of cell science, vol. 123, no. 24, pp. 4195-4200, 2010.
[7] J. Seidenberg et al., "The AP-1 Transcription Factor Fosl-2 Regulates Autophagy in Cardiac Fibroblasts during Myocardial Fibrogenesis," Int J Mol Sci, vol. 22, no. 4, Feb 13 2021, doi: 10.3390/ijms22041861.
[8] C. Jellis, J. Martin, J. Narula, and T. H. Marwick, "Assessment of nonischemic myocardial fibrosis," Journal of the American College of Cardiology, vol. 56, no. 2, pp. 89-97, 2010.
[9] B. Ihnatsenka and A. P. Boezaart, "Ultrasound: Basic understanding and learning the language," Int J Shoulder Surg, vol. 4, no. 3, pp. 55-62, Jul 2010, doi: 10.4103/0973-6042.76960.
[10] M. P. Graham-Brown et al., "Imaging of Myocardial Fibrosis in Patients with End‐Stage Renal Disease: Current Limitations and Future Possibilities," BioMed Research International, vol. 2017, no. 1, p. 5453606, 2017.
[11] T. M. Buzug, "Computed tomography," in Springer handbook of medical technology: Springer, 2011, pp. 311-342.
[12] X. Chen and Z. J. Wang, "Design and implementation of a wearable, wireless EEG recording system," in 2011 5th International Conference on Bioinformatics and Biomedical Engineering, 2011: IEEE, pp. 1-4.
[13] T. Whittingham, "Medical diagnostic applications and sources," Progress in biophysics and molecular biology, vol. 93, no. 1-3, pp. 84-110, 2007.
[14] G. Katti, S. A. Ara, and A. Shireen, "Magnetic resonance imaging (MRI)–A review," International journal of dental clinics, vol. 3, no. 1, pp. 65-70, 2011.
[15] Z. Zhou, M. M. Rahman Siddiquee, N. Tajbakhsh, and J. Liang, "Unet++: A nested u-net architecture for medical image segmentation," in Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings 4, 2018: Springer, pp. 3-11.
[16] R. W. Prager, U. Z. Ijaz, A. H. Gee, and G. M. Treece, "Three-dimensional ultrasound imaging," Proc Inst Mech Eng H, vol. 224, no. 2, pp. 193-223, 2010, doi: 10.1243/09544119jeim586.
[17] S. Oladipupo et al., "VEGF is essential for hypoxia-inducible factor-mediated neovascularization but dispensable for endothelial sprouting," Proceedings of the National Academy of Sciences, vol. 108, no. 32, pp. 13264-13269, 2011.
[18] J. Staley, P. Grogan, A. K. Samadi, H. Cui, M. S. Cohen, and X. Yang, "Growth of melanoma brain tumors monitored by photoacoustic microscopy," Journal of biomedical optics, vol. 15, no. 4, pp. 040510-040510-3, 2010.
[19] S. Hu, K. Maslov, V. Tsytsarev, and L. V. Wang, "Functional transcranial brain imaging by optical-resolution photoacoustic microscopy," Journal of biomedical optics, vol. 14, no. 4, pp. 040503-040503-3, 2009.
[20] T.-Y. Su, Z.-Y. Liu, and D.-Y. Chen, "Tear film break-up time measurement using deep convolutional neural networks for screening dry eye disease," IEEE Sensors Journal, vol. 18, no. 16, pp. 6857-6862, 2018.
[21] C. P. Favazza, L. A. Cornelius, and L. V. Wang, "In vivo functional photoacoustic microscopy of cutaneous microvasculature in human skin," Journal of biomedical optics, vol. 16, no. 2, pp. 026004-026004-5, 2011.
[22] J. Xia, J. Yao, and L. V. Wang, "Photoacoustic tomography: principles and advances," Electromagn Waves (Camb), vol. 147, pp. 1-22, 2014, doi: 10.2528/pier14032303.
[23] I. Ivankovic et al., "Volumetric optoacoustic tomography enables non-invasive in vivo characterization of impaired heart function in hypoxic conditions," Scientific reports, vol. 9, no. 1, p. 8369, 2019.
[24] V. Ntziachristos, "Going deeper than microscopy: the optical imaging frontier in biology," Nat Methods, vol. 7, no. 8, pp. 603-14, Aug 2010, doi: 10.1038/nmeth.1483.
[25] J.-M. Yang et al., "Simultaneous functional photoacoustic and ultrasonic endoscopy of internal organs in vivo," Nature medicine, vol. 18, no. 8, pp. 1297-1302, 2012.
[26] P. Hajireza, W. Shi, and R. Zemp, "Label-free in vivo GRIN-lens optical resolution photoacoustic micro-endoscopy," Laser Physics Letters, vol. 10, no. 5, p. 055603, 2013.
[27] J. Yao and L. V. Wang, "Photoacoustic microscopy," Laser & photonics reviews, vol. 7, no. 5, pp. 758-778, 2013.
[28] Y. Wang et al., "In vivo three-dimensional photoacoustic imaging based on a clinical matrix array ultrasound probe," Journal of Biomedical Optics, vol. 17, no. 6, pp. 061208-061208, 2012.
[29] J. Xia et al., "Three-dimensional photoacoustic tomography based on the focal-line concept," Journal of biomedical optics, vol. 16, no. 9, pp. 090505-090505-3, 2011.
[30] J. Laufer et al., "In vivo photoacoustic imaging of mouse embryos," Journal of biomedical optics, vol. 17, no. 6, pp. 061220-061220, 2012.
[31] I. R. Efimov, V. P. Nikolski, and G. Salama, "Optical imaging of the heart," Circulation research, vol. 95, no. 1, pp. 21-33, 2004.
[32] D. Grishenkov, A. Gonon, and B. Janerot-Sjoberg, "In Search of the Optimal Heart Perfusion Ultrasound Imaging Platform," Journal of Ultrasound in Medicine, vol. 34, no. 9, pp. 1599-1605, 2015.
[33] O. Demeulenaere et al., "Coronary Flow Assessment Using 3-Dimensional Ultrafast Ultrasound Localization Microscopy," JACC Cardiovasc Imaging, vol. 15, no. 7, pp. 1193-1208, Jul 2022, doi: 10.1016/j.jcmg.2022.02.008.
[34] H. A. Lin et al., "Ultrafast Volumetric Optoacoustic Imaging of Whole Isolated Beating Mouse Heart," Sci Rep, vol. 8, no. 1, p. 14132, Sep 20 2018, doi: 10.1038/s41598-018-32317-1.
[35] A. Arshad and A. J. Atkinson, "A 21st century view of the anatomy of the cardiac conduction system," Translational Research in Anatomy, vol. 28, p. 100204, 2022.
[36] American National Standard for Safe Use of Lasers, ANSI Z136.1, Orlando, FL: Laser Institute of America, 2007.
[37] S. K. Kalva, X. L. Deán-Ben, M. Reiss, and D. Razansky, "Spiral volumetric optoacoustic tomography for imaging whole-body biodynamics in small animals," Nat Protoc, vol. 18, no. 7, pp. 2124-2142, Jul 2023, doi: 10.1038/s41596-023-00834-7.