Phoebe Nicole G Perez,Karell Jo Angelique C Calpito,Sarah Jane A Jimenez
Advancements in biomedical optics have significant potential to improve healthcare in low-to-middle-income countries, where preventable and treatable diseases remain prevalent. However, limited integration of relevant sciences hinders the development and application of optical techniques to medical research. Improving the biomedical optics research landscape requires comprehensive curriculum reforms, professional development initiatives, and the establishment of appropriate research infrastructure. Additionally, effective strategies for translating research into practical healthcare solutions include securing targeted funding grants, promoting interdisciplinary collaborations, and fostering international partnerships. These efforts can bridge the gap between advanced optics research and its real-world application, enhancing healthcare outcomes in resource-constrained settings.
{"title":"Biomedical optics: illuminating paths to enhance health equity in the Philippines.","authors":"Phoebe Nicole G Perez,Karell Jo Angelique C Calpito,Sarah Jane A Jimenez","doi":"10.1364/boe.531499","DOIUrl":"https://doi.org/10.1364/boe.531499","url":null,"abstract":"Advancements in biomedical optics have significant potential to improve healthcare in low-to-middle-income countries, where preventable and treatable diseases remain prevalent. However, limited integration of relevant sciences hinders the development and application of optical techniques to medical research. Improving the biomedical optics research landscape requires comprehensive curriculum reforms, professional development initiatives, and the establishment of appropriate research infrastructure. Additionally, effective strategies for translating research into practical healthcare solutions include securing targeted funding grants, promoting interdisciplinary collaborations, and fostering international partnerships. These efforts can bridge the gap between advanced optics research and its real-world application, enhancing healthcare outcomes in resource-constrained settings.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"19 1","pages":"5505-5510"},"PeriodicalIF":3.4,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dental caries cause pain and if not diagnosed, it may lead to the loss of teeth in extreme cases. Dental X-ray imaging is the gold standard for caries detection; however, it cannot detect hidden caries. In addition, the ionizing nature of X-ray radiation is another concern. Hence, other alternate imaging modalities like photoacoustic (PA) imaging are being explored for dental imaging. Here, we demonstrate the feasibility of acoustic resolution photoacoustic microscopy (ARPAM) to image a tooth with metal filling, circular photoacoustic computed tomography (cPACT) to acquire images of teeth with caries and pigmentation, and linear array-based photoacoustic imaging (lPACT) of teeth with caries and pigmentation. The cavity measured with lPACT imaging is compared with the X-ray computed tomography image. The metal filling and its boundaries are clearly seen in the ARPAM image. cPACT images at 1064 nm were a better representative of the tooth surface compared to the images acquired at 532 nm. It was possible to detect the cavities present in the dentine when lPACT imaging was used. The PA signal from the pigmented caries on the lateral surface (occlusion view) of the tooth was high when imaged using the lPACT system.
龋齿会引起疼痛，如果得不到诊断，在极端情况下可能会导致牙齿脱落。牙科 X 射线成像是检测龋齿的黄金标准，但它无法检测出隐藏的龋齿。此外，X 射线辐射的电离性也是另一个令人担忧的问题。因此，人们正在探索光声（PA）成像等其他成像模式用于牙科成像。在这里，我们展示了声学分辨率光声显微镜（ARPAM）对金属填充物牙齿成像、环形光声计算机断层扫描（cPACT）对龋齿和色素沉着牙齿成像以及线性阵列光声成像（lPACT）对龋齿和色素沉着牙齿成像的可行性。通过 lPACT 成像测量的龋洞与 X 射线计算机断层扫描图像进行比较。与 532 纳米波段的图像相比，1064 纳米波段的 cPACT 图像更能代表牙齿表面。使用 lPACT 成像可以检测到牙本质中存在的龋洞。使用 lPACT 系统成像时，牙齿侧面（咬合视图）色素龋的 PA 信号很高。
{"title":"Ex vivo human teeth imaging with various photoacoustic imaging systems.","authors":"Vijitha Periyasamy,Katherine Gisi,Manojit Pramanik","doi":"10.1364/boe.531436","DOIUrl":"https://doi.org/10.1364/boe.531436","url":null,"abstract":"Dental caries cause pain and if not diagnosed, it may lead to the loss of teeth in extreme cases. Dental X-ray imaging is the gold standard for caries detection; however, it cannot detect hidden caries. In addition, the ionizing nature of X-ray radiation is another concern. Hence, other alternate imaging modalities like photoacoustic (PA) imaging are being explored for dental imaging. Here, we demonstrate the feasibility of acoustic resolution photoacoustic microscopy (ARPAM) to image a tooth with metal filling, circular photoacoustic computed tomography (cPACT) to acquire images of teeth with caries and pigmentation, and linear array-based photoacoustic imaging (lPACT) of teeth with caries and pigmentation. The cavity measured with lPACT imaging is compared with the X-ray computed tomography image. The metal filling and its boundaries are clearly seen in the ARPAM image. cPACT images at 1064 nm were a better representative of the tooth surface compared to the images acquired at 532 nm. It was possible to detect the cavities present in the dentine when lPACT imaging was used. The PA signal from the pigmented caries on the lateral surface (occlusion view) of the tooth was high when imaged using the lPACT system.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"115 1","pages":"5479-5490"},"PeriodicalIF":3.4,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nima Abbasi,Keyu Chen,Alexander Wong,Kostadinka Bizheva
The trade-off between transverse resolution and depth-of-focus (DOF) typical for optical coherence tomography (OCT) systems based on conventional optics, prevents "single-shot" acquisition of volumetric OCT images with sustained high transverse resolution over the entire imaging depth. Computational approaches for correcting defocus and higher order aberrations in OCT images developed in the past require highly stable phase data, which poses a significant technological challenge. Here, we present an alternative computational approach to sharpening OCT images and reducing speckle noise, based on intensity OCT data. The novel algorithm uses non-local priors to model correlated speckle noise within a maximum a posteriori framework to generate sharp and noise-free images. The performance of the algorithm was tested on images of plant tissue (cucumber) and in-vivo healthy human cornea, acquired with line-field spectral domain OCT (LF-SD-OCT) systems. The novel algorithm effectively suppressed speckle noise and sharpened or recovered morphological features in the OCT images for depths up to 13×DOF (depth-of-focus) relative to the focal plane.
基于传统光学系统的光学相干断层成像（OCT）系统通常在横向分辨率和焦深（DOF）之间进行权衡，因此无法 "单次 "获取在整个成像深度具有持续高横向分辨率的容积 OCT 图像。过去开发的用于校正 OCT 图像中的散焦和高阶像差的计算方法需要高度稳定的相位数据，这对技术提出了巨大挑战。在此，我们提出了另一种基于强度 OCT 数据的计算方法，用于锐化 OCT 图像并降低斑点噪声。这种新算法使用非局部先验，在最大后验框架内对相关斑点噪声进行建模，从而生成清晰无噪声的图像。利用线场光谱域 OCT（LF-SD-OCT）系统采集的植物组织（黄瓜）和活体健康人类角膜图像对该算法的性能进行了测试。新算法有效抑制了斑点噪声，并锐化或恢复了相对于焦平面深度达 13×DOF（焦深）的 OCT 图像中的形态特征。
{"title":"Computational approach for correcting defocus and suppressing speckle noise in line-field optical coherence tomography images.","authors":"Nima Abbasi,Keyu Chen,Alexander Wong,Kostadinka Bizheva","doi":"10.1364/boe.530569","DOIUrl":"https://doi.org/10.1364/boe.530569","url":null,"abstract":"The trade-off between transverse resolution and depth-of-focus (DOF) typical for optical coherence tomography (OCT) systems based on conventional optics, prevents \"single-shot\" acquisition of volumetric OCT images with sustained high transverse resolution over the entire imaging depth. Computational approaches for correcting defocus and higher order aberrations in OCT images developed in the past require highly stable phase data, which poses a significant technological challenge. Here, we present an alternative computational approach to sharpening OCT images and reducing speckle noise, based on intensity OCT data. The novel algorithm uses non-local priors to model correlated speckle noise within a maximum a posteriori framework to generate sharp and noise-free images. The performance of the algorithm was tested on images of plant tissue (cucumber) and in-vivo healthy human cornea, acquired with line-field spectral domain OCT (LF-SD-OCT) systems. The novel algorithm effectively suppressed speckle noise and sharpened or recovered morphological features in the OCT images for depths up to 13×DOF (depth-of-focus) relative to the focal plane.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"23 1","pages":"5491-5504"},"PeriodicalIF":3.4,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Temporally varying speckle patterns, produced by light-matter interaction encode valuable information about inhomogeneities embedded within a scattering medium. These speckle fluctuations arise either from the tuning of the emission frequency of a laser illuminating a static scattering medium or from the microscopic motion of scatterers within a dynamically scattering medium. In this work, we detect embedded inhomogeneities by probing static and dynamic scattering media with coherent light and leveraging the statistical distribution of temporal speckle differences. In addition, we utilize the insights from the speckle differencing paradigm, to present the first experimental results of detecting inhomogeneities embedded within a scattering medium using bio-inspired neuromorphic sensors. The proposed neuromorphic approach simplifies the optical and electronic design, and significantly reduces data throughput by capturing only the differential information in the form of 1-bit spikes.
{"title":"Probing diffusive media through speckle differencing.","authors":"Muralidhar Madabhushi Balaji,Danyal Ahsanullah,Prasanna Rangarajan","doi":"10.1364/boe.531797","DOIUrl":"https://doi.org/10.1364/boe.531797","url":null,"abstract":"Temporally varying speckle patterns, produced by light-matter interaction encode valuable information about inhomogeneities embedded within a scattering medium. These speckle fluctuations arise either from the tuning of the emission frequency of a laser illuminating a static scattering medium or from the microscopic motion of scatterers within a dynamically scattering medium. In this work, we detect embedded inhomogeneities by probing static and dynamic scattering media with coherent light and leveraging the statistical distribution of temporal speckle differences. In addition, we utilize the insights from the speckle differencing paradigm, to present the first experimental results of detecting inhomogeneities embedded within a scattering medium using bio-inspired neuromorphic sensors. The proposed neuromorphic approach simplifies the optical and electronic design, and significantly reduces data throughput by capturing only the differential information in the form of 1-bit spikes.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"33 1","pages":"5442-5460"},"PeriodicalIF":3.4,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jingjing Zhao,Jianfang Zhu,Weiqiang Wang,Zhengfang Qian,Shuting Fan
The detection of tumor biomarkers in liquid biopsies requires high sensitivity and low-cost biosensing strategies. However, few traditional techniques can satisfy the requirements of target amplification-free and fluorescence-free at the same time. In this study, we have proposed a novel strategy for ctDNA detection with the combination of terahertz spectroscopy and the CRISPR/Cas12 system. The CRISPR/Cas12a system is activated by the target ctDNA, resulting in a series of reactions leading to the formation of an Au-Fe complex. This complex is easily extracted with magnets and when dropped onto the terahertz metamaterial sensor, it can enhance the frequency shift, providing sensitive and selective sensing of the target ctDNA. Results show that the proposed terahertz biosensor exhibits a relatively low detection limit of 0.8 fM and a good selectivity over interference species. This detection limit is improved by three orders of magnitude compared with traditional biosensing methods using terahertz waves. Furthermore, a ctDNA concentration of 100 fM has been successfully detected in bovine serum (corresponding to 50 fM in the final reaction system) without amplification.
{"title":"CRISPR/Cas12a cleavage triggered nanoflower for fluorescence-free and target amplification-free biosensing of ctDNA in the terahertz frequencies.","authors":"Jingjing Zhao,Jianfang Zhu,Weiqiang Wang,Zhengfang Qian,Shuting Fan","doi":"10.1364/boe.534511","DOIUrl":"https://doi.org/10.1364/boe.534511","url":null,"abstract":"The detection of tumor biomarkers in liquid biopsies requires high sensitivity and low-cost biosensing strategies. However, few traditional techniques can satisfy the requirements of target amplification-free and fluorescence-free at the same time. In this study, we have proposed a novel strategy for ctDNA detection with the combination of terahertz spectroscopy and the CRISPR/Cas12 system. The CRISPR/Cas12a system is activated by the target ctDNA, resulting in a series of reactions leading to the formation of an Au-Fe complex. This complex is easily extracted with magnets and when dropped onto the terahertz metamaterial sensor, it can enhance the frequency shift, providing sensitive and selective sensing of the target ctDNA. Results show that the proposed terahertz biosensor exhibits a relatively low detection limit of 0.8 fM and a good selectivity over interference species. This detection limit is improved by three orders of magnitude compared with traditional biosensing methods using terahertz waves. Furthermore, a ctDNA concentration of 100 fM has been successfully detected in bovine serum (corresponding to 50 fM in the final reaction system) without amplification.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"10 1","pages":"5400-5410"},"PeriodicalIF":3.4,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanzhu Chen,Zhiwang Xu,Shijie Ren,Zhen-Li Huang,Zhengxia Wang
Super-resolution panoramic pathological imaging provides a powerful tool for biologists to observe the ultrastructure of samples. Localization data can maintain the essential ultrastructural information of biological samples with a small storage space, and also provides a new opportunity for stitching super-resolution images. However, the existing image stitching methods based on localization data cannot accurately calculate the registration offset of sample regions with no or few structural points and thus lead to registration errors. Here, we proposed a stitching framework called PNanoStitcher. The framework fully utilizes the distribution characteristics of the background fluorescence noise in the stitching region and solves the stitching failure in sample regions with no or few structural points. We verified our method using both simulated and experimental datasets, and compared it with existing stitching methods. PNanoStitcher achieved superior stitching results on biological samples with no structural and few structural regions. The study provides an important driving force for the development of super-resolution digital pathology.
{"title":"Image stitching algorithm for super-resolution localization microscopy combined with fluorescence noise prior.","authors":"Yanzhu Chen,Zhiwang Xu,Shijie Ren,Zhen-Li Huang,Zhengxia Wang","doi":"10.1364/boe.534658","DOIUrl":"https://doi.org/10.1364/boe.534658","url":null,"abstract":"Super-resolution panoramic pathological imaging provides a powerful tool for biologists to observe the ultrastructure of samples. Localization data can maintain the essential ultrastructural information of biological samples with a small storage space, and also provides a new opportunity for stitching super-resolution images. However, the existing image stitching methods based on localization data cannot accurately calculate the registration offset of sample regions with no or few structural points and thus lead to registration errors. Here, we proposed a stitching framework called PNanoStitcher. The framework fully utilizes the distribution characteristics of the background fluorescence noise in the stitching region and solves the stitching failure in sample regions with no or few structural points. We verified our method using both simulated and experimental datasets, and compared it with existing stitching methods. PNanoStitcher achieved superior stitching results on biological samples with no structural and few structural regions. The study provides an important driving force for the development of super-resolution digital pathology.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"8 1","pages":"5411-5428"},"PeriodicalIF":3.4,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Optical diffraction tomography (ODT) enables the label-free volumetric imaging of biological specimens by mapping their three-dimensional refractive index (RI) distribution. However, the depth of imaging achievable is restricted due to spatially inhomogeneous RI distributions that induce multiple scattering. In this study, we introduce a novel ODT technique named bidirectional in-silico clearing RI tomography. This method incorporates both forward and reversed in-silico clearing. For the reversed in-silico clearing, we have integrated an ODT reconstruction framework with a transmission matrix approach, which enables RI reconstruction and wave backpropagation from the illumination side without necessitating modifications to the conventional ODT setup. Furthermore, the framework employs a sparsely sampled transmission matrix, significantly reducing the requisite number of measurements and computational expenses. Employing this proposed technique, we successfully imaged a spheroid with a thickness of 263 µm, corresponding to 11.4 scattering mean free paths. This method was successfully applied to various biological specimens, including liver and colon spheroids, demonstrating consistent imaging performance across samples with varied morphologies.
光学衍射断层成像（ODT）通过绘制生物标本的三维折射率（RI）分布图，实现了生物标本的无标记容积成像。然而，由于空间不均匀的 RI 分布会引起多重散射，因此成像深度受到限制。在这项研究中，我们引入了一种新型的 ODT 技术，名为双向实验室内清零 RI 层析成像。该方法包含正向和反向硅内清除。对于反向硅内清除，我们将 ODT 重构框架与传输矩阵方法相结合，从而在无需修改传统 ODT 设置的情况下，从照明侧实现 RI 重构和波反向传播。此外，该框架还采用了稀疏采样的传输矩阵，大大减少了所需的测量次数和计算费用。利用这项技术，我们成功地对一个厚度为 263 µm 的球体进行了成像，相当于 11.4 个散射平均自由路径。这种方法成功地应用于各种生物样本，包括肝脏和结肠球体，显示了不同形态样本的一致成像性能。
{"title":"Bidirectional in-silico clearing approach for deep refractive-index tomography using a sparsely sampled transmission matrix.","authors":"Osamu Yasuhiko,Kozo Takeuchi","doi":"10.1364/boe.524859","DOIUrl":"https://doi.org/10.1364/boe.524859","url":null,"abstract":"Optical diffraction tomography (ODT) enables the label-free volumetric imaging of biological specimens by mapping their three-dimensional refractive index (RI) distribution. However, the depth of imaging achievable is restricted due to spatially inhomogeneous RI distributions that induce multiple scattering. In this study, we introduce a novel ODT technique named bidirectional in-silico clearing RI tomography. This method incorporates both forward and reversed in-silico clearing. For the reversed in-silico clearing, we have integrated an ODT reconstruction framework with a transmission matrix approach, which enables RI reconstruction and wave backpropagation from the illumination side without necessitating modifications to the conventional ODT setup. Furthermore, the framework employs a sparsely sampled transmission matrix, significantly reducing the requisite number of measurements and computational expenses. Employing this proposed technique, we successfully imaged a spheroid with a thickness of 263 µm, corresponding to 11.4 scattering mean free paths. This method was successfully applied to various biological specimens, including liver and colon spheroids, demonstrating consistent imaging performance across samples with varied morphologies.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"5 1","pages":"5296-5313"},"PeriodicalIF":3.4,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-19eCollection Date: 2024-09-01DOI: 10.1364/BOE.526145
Jinlong Lin, Dushyant Mehra, Zach Marin, Xiaoding Wang, Hazel M Borges, Qionghua Shen, Seweryn Gałecki, John Haug, Derek H Abbott, Kevin M Dean
We present a mechanically sheared image acquisition format for upright and open-top light-sheet microscopes that automatically places data in its proper spatial context. This approach, which reduces computational post-processing and eliminates unnecessary interpolation or duplication of the data, is demonstrated on an upright variant of axially swept light-sheet microscopy (ASLM) that achieves a field of view, measuring 774 × 435 microns, that is 3.2-fold larger than previous models and a raw and isotropic resolution of ∼460 nm. Combined, we demonstrate the power of this approach by imaging sub-diffraction beads, cleared biological tissues, and expanded specimens.
{"title":"Mechanically sheared axially swept light-sheet microscopy.","authors":"Jinlong Lin, Dushyant Mehra, Zach Marin, Xiaoding Wang, Hazel M Borges, Qionghua Shen, Seweryn Gałecki, John Haug, Derek H Abbott, Kevin M Dean","doi":"10.1364/BOE.526145","DOIUrl":"10.1364/BOE.526145","url":null,"abstract":"<p><p>We present a mechanically sheared image acquisition format for upright and open-top light-sheet microscopes that automatically places data in its proper spatial context. This approach, which reduces computational post-processing and eliminates unnecessary interpolation or duplication of the data, is demonstrated on an upright variant of axially swept light-sheet microscopy (ASLM) that achieves a field of view, measuring 774 × 435 microns, that is 3.2-fold larger than previous models and a raw and isotropic resolution of ∼460 nm. Combined, we demonstrate the power of this approach by imaging sub-diffraction beads, cleared biological tissues, and expanded specimens.</p>","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"15 9","pages":"5314-5327"},"PeriodicalIF":2.9,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11407235/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142280112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jingyi Wu,Gopika Satish,Alexander Ruesch,Baptiste Jayet,Katarzyna Komolibus,Stefan Andersson-Engels,Martin P Debreczeny,Jana M Kainerstorfer
Transabdominal fetal pulse oximetry offers a promising approach to improve fetal monitoring and reduce unnecessary interventions. Utilizing realistic 3D geometries derived from MRI scans of pregnant women, we conducted photon simulations to determine optimal source-detector configurations for detecting fetal heart rate and oxygenation. Our findings demonstrate the theoretical feasibility of measuring fetal signals at depths up to 30 mm using source-detector (SD) distances greater than 100 mm and wavelengths between 730 and 850 nm. Furthermore, we highlight the importance of customizing SD configurations based on fetal position and maternal anatomy. These insights pave the way for enhanced non-invasive fetal monitoring in clinical application.
{"title":"Sensitivity analysis of transabdominal fetal pulse oximetry using MRI-based simulations.","authors":"Jingyi Wu,Gopika Satish,Alexander Ruesch,Baptiste Jayet,Katarzyna Komolibus,Stefan Andersson-Engels,Martin P Debreczeny,Jana M Kainerstorfer","doi":"10.1364/boe.531149","DOIUrl":"https://doi.org/10.1364/boe.531149","url":null,"abstract":"Transabdominal fetal pulse oximetry offers a promising approach to improve fetal monitoring and reduce unnecessary interventions. Utilizing realistic 3D geometries derived from MRI scans of pregnant women, we conducted photon simulations to determine optimal source-detector configurations for detecting fetal heart rate and oxygenation. Our findings demonstrate the theoretical feasibility of measuring fetal signals at depths up to 30 mm using source-detector (SD) distances greater than 100 mm and wavelengths between 730 and 850 nm. Furthermore, we highlight the importance of customizing SD configurations based on fetal position and maternal anatomy. These insights pave the way for enhanced non-invasive fetal monitoring in clinical application.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"197 1","pages":"5280-5295"},"PeriodicalIF":3.4,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Optical coherence tomography (OCT) retinal layer segmentation is a critical procedure of the modern ophthalmic process, which can be used for diagnosis and treatment of diseases such as diabetic macular edema (DME) and multiple sclerosis (MS). Due to the difficulties of low OCT image quality, highly similar retinal interlayer morphology, and the uncertain presence, shape and size of lesions, the existing algorithms do not perform well. In this work, we design an HDB-Net network for retinal layer segmentation in diseased OCT images, which solves this problem by combining global and detailed features. First, the proposed network uses a Swin transformer and Res50 as a parallel backbone network, combined with the pyramid structure in UperNet, to extract global context and aggregate multi-scale information from images. Secondly, a feature aggregation module (FAM) is designed to extract global context information from the Swin transformer and local feature information from ResNet by introducing mixed attention mechanism. Finally, the boundary awareness and feature enhancement module (BA-FEM) is used to extract the retinal layer boundary information and topological order from the low-resolution features of the shallow layer. Our approach has been validated on two public datasets, and Dice scores were 87.61% and 92.44, respectively, both outperforming other state-of-the-art technologies.
{"title":"HDB-Net: hierarchical dual-branch network for retinal layer segmentation in diseased OCT images.","authors":"Yu Chen,XueHe Zhang,Jiahui Yang,Gang Han,He Zhang,MingZhu Lai,Jie Zhao","doi":"10.1364/boe.530469","DOIUrl":"https://doi.org/10.1364/boe.530469","url":null,"abstract":"Optical coherence tomography (OCT) retinal layer segmentation is a critical procedure of the modern ophthalmic process, which can be used for diagnosis and treatment of diseases such as diabetic macular edema (DME) and multiple sclerosis (MS). Due to the difficulties of low OCT image quality, highly similar retinal interlayer morphology, and the uncertain presence, shape and size of lesions, the existing algorithms do not perform well. In this work, we design an HDB-Net network for retinal layer segmentation in diseased OCT images, which solves this problem by combining global and detailed features. First, the proposed network uses a Swin transformer and Res50 as a parallel backbone network, combined with the pyramid structure in UperNet, to extract global context and aggregate multi-scale information from images. Secondly, a feature aggregation module (FAM) is designed to extract global context information from the Swin transformer and local feature information from ResNet by introducing mixed attention mechanism. Finally, the boundary awareness and feature enhancement module (BA-FEM) is used to extract the retinal layer boundary information and topological order from the low-resolution features of the shallow layer. Our approach has been validated on two public datasets, and Dice scores were 87.61% and 92.44, respectively, both outperforming other state-of-the-art technologies.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"21 1","pages":"5359-5383"},"PeriodicalIF":3.4,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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