Journal of Biomedical Optics最新文献

{"title":"Deep learning segmentation of periarterial and perivenous capillary-free zones in optical coherence tomography angiography.","authors":"Mansour Abtahi, Behrouz Ebrahimi, Albert K Dadzie, Mojtaba Rahimi, Srishti Kolla, Yi-Ting Hsieh, Michael J Heiferman, Jennifer I Lim, Xincheng Yao","doi":"10.1117/1.JBO.30.5.056005","DOIUrl":"https://doi.org/10.1117/1.JBO.30.5.056005","url":null,"abstract":"<p><strong>Significance: </strong>Automated segmentation of periarterial and perivenous capillary-free zones (CFZs) in optical coherence tomography angiography (OCTA) can significantly improve early detection and monitoring of diabetic retinopathy (DR), a leading cause of vision impairment, by identifying subtle microvascular changes.</p><p><strong>Aim: </strong>We aimed to develop and evaluate deep learning models, including convolutional neural networks (CNNs) and vision transformers (ViTs), for precise segmentation of periarterial and perivenous CFZs. Quantitative features derived from the segmented CFZs were assessed as potential biomarkers for DR.</p><p><strong>Approach: </strong>OCTA images from healthy controls, patients with diabetes but no DR (NoDR), and those with mild DR were utilized. Automated CFZ maps were generated using deep learning models such as UNet, UNet++, TransUNet, and Segformer. Quantitative features, including CFZ ratios, counts, and mean sizes, were analyzed to characterize disease progression.</p><p><strong>Results: </strong>UNet++ with EfficientNet-b7 achieved the best performance, with a mean intersection over union of 86.48% and a Dice coefficient of 89.87%. Quantitative analyses revealed significant differences in CFZ metrics between the control, NoDR, and mild DR groups, demonstrating their potential as sensitive biomarkers for early DR detection and monitoring.</p><p><strong>Conclusions: </strong>The study underscores the efficacy of deep learning models in automating CFZ segmentation and introduces quantitative features as biomarkers for DR. These findings support further exploration of CFZ analysis in retinal disease diagnostics and therapeutic monitoring.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 5","pages":"056005"},"PeriodicalIF":3.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12061543/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144003413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"First-in-human pilot study of snapshot multispectral endoscopy for delineation of pituitary adenoma.","authors":"Dale J Waterhouse, Daniele Borsetto, Thomas Santarius, James R Tysome, Sarah E Bohndiek","doi":"10.1117/1.JBO.30.5.056002","DOIUrl":"https://doi.org/10.1117/1.JBO.30.5.056002","url":null,"abstract":"<p><strong>Significance: </strong>The definitive treatment for pituitary adenoma is transsphenoidal surgical resection. Conventional white light imaging shows limited contrast between the adenoma and the pituitary gland, and only the tissue surface is visualized, leaving a pressing unmet need for improved intraoperative adenoma delineation to preserve pituitary function during surgery.</p><p><strong>Aim: </strong>To evaluate the potential of multispectral imaging to enhance visualization of adenoma during transsphenoidal resection.</p><p><strong>Approach: </strong>A multispectral camera based on a spectrally resolved detector array was coupled to a standard 4-mm rigid endoscope for <i>in vivo</i> imaging, such that the camera head could easily be switched with the standard of care camera head during surgery.</p><p><strong>Results: </strong>The multispectral imaging (MSI) endoscope was deployed during transsphenoidal surgery, and usable data were obtained from 12 patients. MSI was able to distinguish between an adenoma and a healthy pituitary based on the spectral angle with the reference spectrum of blood.</p><p><strong>Conclusions: </strong>The MSI endoscope holds the potential to differentiate adenoma tissue and healthy pituitary. With further development, MSI endoscopy could enable real-time label-free delineation of tumors during surgery, based on quantitative thresholds, which should contribute to improving the completeness of resection, while helping to preserve the pituitary gland, preventing serious life-changing complications.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 5","pages":"056002"},"PeriodicalIF":3.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12058333/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144007362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Motion-based dynamic light delivery to minimize laser-related thermal damage while preserving photoacoustic image quality.","authors":"Junior Arroyo, Jiaxin Zhang, Muyinatu A Lediju Bell","doi":"10.1117/1.JBO.30.5.056008","DOIUrl":"https://doi.org/10.1117/1.JBO.30.5.056008","url":null,"abstract":"<p><strong>Significance: </strong>Photoacoustic imaging has the potential to be integrated into surgical guidance systems. However, biosafety from prolonged laser exposure can limit the maximization of signal-to-noise ratios. Although cooling strategies can potentially mitigate thermal impact, the associated adverse effects necessitate an alternative strategy.</p><p><strong>Aim: </strong>We introduce a dynamic light delivery strategy that displaces a light source in a controlled manner during photoacoustic imaging, which is expected to both minimize laser-related thermal damage and maintain the image quality achievable with stationary light delivery.</p><p><strong>Approach: </strong>Monte Carlo simulations were performed to determine the impact of light source displacement on local energy density. A dynamic light delivery device was designed, prototyped, and evaluated with an experimental phantom to determine image quality. To assess potential laser-related thermal damage, <i>in vivo</i> swine liver was exposed to laser light delivered with 750-nm wavelength, nanosecond pulses, and 32.4 mJ median pulse-to-pulse energy for 20-min total duration, under both stationary and dynamic light delivery. The exposed liver samples were excised, followed by categorical grading and quantitative depth measurements of resulting hemorrhage observed in H&E liver sections.</p><p><strong>Results: </strong>Energy densities at the simulated tissue surface were 1.85 lower with dynamic rather than stationary light delivery. As target depth was varied from 14 to 53 mm, the median signal-to-noise and generalized contrast-to-noise ratios ranged 24.60 to 38.76 and 0.96 to 1.00, respectively, with stationary light delivery and 23.06 to 37.47 and 0.96 to 1.00, respectively, with dynamic light delivery, with no statistically significant differences between light delivery approaches ( <math><mrow><mi>p</mi> <mo>></mo> <mn>0.05</mn></mrow> </math> ). Histopathology of excised liver samples revealed mild hemorrhage with stationary light delivery that was reduced to minimal hemorrhage with dynamic light delivery, quantified as median hemorrhage depths reduced from 0.79 to 0.16 mm (i.e., 80% hemorrhage depth reduction).</p><p><strong>Conclusions: </strong>Dynamic light delivery is a promising approach to mitigate potential laser-related damage.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 5","pages":"056008"},"PeriodicalIF":3.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12077845/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Three-dimensional C-scan-based generation adversarial network with synthetic input to improve optical coherence tomography angiography.","authors":"Jingjiang Xu, Zhongwu Feng, Haixia Qiu, Peijun Tang, Kai Gao, Yanping Huang, Gongpu Lan, Jia Qin, Lin An, Gangyong Jia, Qing Wu","doi":"10.1117/1.JBO.30.5.056006","DOIUrl":"https://doi.org/10.1117/1.JBO.30.5.056006","url":null,"abstract":"<p><strong>Significance: </strong>Optical coherence tomography angiography (OCTA) usually suffers from the inherent random fluctuations of noise and speckles in the imaging system. Previous deep learning methods have mainly focused on improving the quality of B-scan blood flow images or <i>en face</i> projection images. We propose a deep learning method to reconstruct high-quality 3D vasculature, which fully utilizes the volumetric OCTA data and the topological features of the vascular network.</p><p><strong>Aim: </strong>We propose a deep learning method called the three-dimensional C-scan-based generation adversarial network (3DCS-GAN) to improve vascular visualization for volumetric OCTA data.</p><p><strong>Approach: </strong>To train the network, we superimposed the single-shot <i>en face</i> OCTA images on avascular noisy C-scan images to synthesize the input data and used the multiple averaged <i>en face</i> OCTA images as the reference labels. The deep learning algorithm is based on Pix2Pix architecture and consists of a generator model and a discriminator model. A perceptual loss function was utilized by combining content loss and adversarial loss. The proposed algorithm is applied to the C-scan images depth-by-depth to suppress the background noise and enhance vascular visualization in the 3D OCTA data.</p><p><strong>Results: </strong>The proposed method has improved the contrast-to-noise ratio of cross-sectional OCTA images by <math><mrow><mo>∼</mo> <mn>2</mn></mrow> </math> times. It greatly enhances the visualization of blood vessels in the deep layer and offers much clearer blood vessel topology in the 3D volume-rendering of OCTA. 3DCS-GAN has exhibited superior image enhancement compared with alternative methods. It has been used to enhance the OCTA images of port wine stain disease for clinical investigation.</p><p><strong>Conclusions: </strong>It demonstrates that the proposed 3DCS-GAN can greatly improve vascular visualization in the deep layer, provide better image quality than the multiple averaged OCTA images, and achieve superior image enhancement for volumetric OCTA data.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 5","pages":"056006"},"PeriodicalIF":3.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12064958/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143973035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating blue light impact on reconstructed human epidermis using laser speckle imaging.","authors":"Léa Habib, Léa Abi Nassif, Marie Abboud, Rime Michael-Jubeli, Ali Tfayli, Roger Lteif","doi":"10.1117/1.JBO.30.5.056001","DOIUrl":"https://doi.org/10.1117/1.JBO.30.5.056001","url":null,"abstract":"<p><strong>Significance: </strong>Blue light exposure is ubiquitous in modern life, raising concerns about its potential impact on skin health.</p><p><strong>Aim: </strong>We aim to explore the effects of blue light on the reconstructed human epidermis (RHE) using the speckle analysis technique.</p><p><strong>Approach: </strong>RHE samples were irradiated with controlled doses of blue light (415 and 455 nm) at defined stages of their maturation. Following irradiation, speckle analysis was performed to assess the impact of blue light on the skin barrier.</p><p><strong>Results: </strong>Our results demonstrate that blue light irradiation significantly alters the scattering properties of RHE. Both wavelengths induced changes in the degree of linear polarization and speckle grain size, indicating disruptions in the skin barrier's structure and organization. The effects were found to be wavelength-dependent, with 455 nm irradiation showing more pronounced changes.</p><p><strong>Conclusions: </strong>Speckle imaging allowed detection of changes in the scattering properties of RHE. Findings suggest that blue light exposure can influence skin barrier function and may have implications for skin health and related conditions.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 5","pages":"056001"},"PeriodicalIF":3.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12058430/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144012724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancement of vascular visualization in laser speckle contrast imaging based on image algorithms.","authors":"Long Yan, Gongzhi Du, Xiaozheng Huang, Yiheng Xiao, Jinhua Bian, Yuanzhi Zhang, Huayi Hou, Min Min, Xiangbai Chen","doi":"10.1117/1.JBO.30.5.056010","DOIUrl":"10.1117/1.JBO.30.5.056010","url":null,"abstract":"<p><strong>Significance: </strong>In practical biomedical applications, obtaining clear and focused speckle images through laser speckle contrast imaging (LSCI) presents significant challenges. These challenges are often compounded by motion artifacts and image noise, which can adversely affect the effectiveness of vascular visualization in LSCI.</p><p><strong>Aim: </strong>We improved the visualization of blood flow in LSCI by focusing on three aspects: image registration, image denoising, and multi-focus image fusion.</p><p><strong>Approach: </strong>We employed the Lucas-Kanade (LK) optical flow pyramid method alongside block matching and three-dimensional filtering (BM3D) algorithm based on guided filtering with total variation regularization to effectively mitigate motion artifacts and noise. Furthermore, we proposed a multi-focus image fusion technique based on the multi-scale image contrast amplification (MUSICA) algorithm, aimed at enhancing high-frequency signals and minimizing the effects of defocusing in LSCI.</p><p><strong>Results: </strong>The LK optical flow registration algorithm demonstrates improvements in both average peak signal-to-noise ratio and imaging quality compared with non-registration methods. The improved BM3D method outperforms classical denoising algorithms in various image evaluation parameters within LSCI. In the case of using the multi-focus image fusion method based on the MUSICA method, the image quality assessment of the sum of modulus of gray difference squared showed an improvement of nearly six times compared with the defocused images without the use of the MUSICA method.</p><p><strong>Conclusions: </strong>Improvements in image processing algorithms, specifically in the areas of registration, denoising, and multi-focus image fusion, have significantly enhanced the visualization of blood flow in the vessels during practical applications of LSCI.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 5","pages":"056010"},"PeriodicalIF":3.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12120561/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144181464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dual acquisition scheme-based optical coherence tomography 3D angiography.","authors":"Junxiong Zhou, Wei Chen, Jianbo Tang","doi":"10.1117/1.JBO.30.5.056004","DOIUrl":"https://doi.org/10.1117/1.JBO.30.5.056004","url":null,"abstract":"<p><strong>Significance: </strong>Optical coherence tomography angiography (OCTA) is a noninvasive technique dedicated to high-resolution microvasculature imaging. However, the projection artifacts of large pial vessels make it difficult to visualize the underlying microvessels, challenging its 3D vascular imaging ability.</p><p><strong>Aim: </strong>We propose a dual acquisition scheme-based 3D OCTA method aimed at simultaneously mitigating projection artifacts and enhancing the detection of capillary networks.</p><p><strong>Approach: </strong>In this study, we introduce an approach incorporating a dual data acquisition scheme with optimally oriented flux (OOF) filtering to address this problem. The repeated A-scan acquisition scheme and corresponding data processing algorithm were used to address the projection artifact issue underneath large pial vessels, whereas repeated B-scan acquisition-based data processing was used to image the capillary network.</p><p><strong>Results: </strong>With such a processing scheme, the projection artifacts can be effectively suppressed, whereas the high detection sensitivity to small vessels of repeat B-scan OCTA can be preserved, thus enabling high-sensitivity 3D imaging of the cerebral vasculature after OOF filtering.</p><p><strong>Conclusions: </strong>The results demonstrate the capability of the proposed method for 3D OCTA imaging, which may play an important role in cerebral microvascular dysfunction-related disease studies.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 5","pages":"056004"},"PeriodicalIF":3.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12061512/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143967330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative measurement of tympanic membrane structure and symmetry with optical coherence tomography in normal human subjects.","authors":"Zihan Yang, Marcela Moran Mojica, Wihan Kim, John S Oghalai, Brian E Applegate","doi":"10.1117/1.JBO.30.5.056007","DOIUrl":"https://doi.org/10.1117/1.JBO.30.5.056007","url":null,"abstract":"<p><strong>Significance: </strong>Early detection of ear pathology is essential for preventing hearing loss, yet the sensitivity of otoscopic examinations by primary care providers during annual physicals remains low. Optical coherence tomography (OCT) offers a promising alternative for detailed imaging of the tympanic membrane (TM) and middle ear (ME), providing the potential for early identification of ear disease.</p><p><strong>Aim: </strong>We aim to develop a quantitative method for assessing symmetry between the right and left ears and to establish a baseline for this approach in normal subjects.</p><p><strong>Approach: </strong>Volumetric OCT images were acquired from 12 normal subjects using a custom hand-held OCT otoscope. A volume registration and fusion method was applied to expand the TM field of view, followed by TM thickness measurement and generation of 3D thickness maps. The symmetry between left and right TMs was quantitatively analyzed using the Dice similarity coefficient.</p><p><strong>Results: </strong>The average TM thickness was measured as <math><mrow><mn>73.89</mn> <mo>±</mo> <mn>14.79</mn> <mtext>  </mtext> <mi>μ</mi> <mi>m</mi></mrow> </math> for left ears and <math><mrow><mn>70.72</mn> <mo>±</mo> <mn>11.58</mn> <mtext>  </mtext> <mi>μ</mi> <mi>m</mi></mrow> </math> for right ears, with no statistically significant difference at the 0.05 level. The symmetry analysis revealed a mean similarity coefficient of <math><mrow><mn>0.79</mn> <mo>±</mo> <mn>0.02</mn></mrow> </math> between left and right ears among the 12 normal subjects.</p><p><strong>Conclusions: </strong>OCT imaging enables quantitative assessment of TM thickness and symmetry, offering a baseline for identifying early ear pathologies.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 5","pages":"056007"},"PeriodicalIF":3.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12077914/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Speckle pattern analysis with deep learning for low-cost stroke detection: a phantom-based feasibility study.","authors":"Avraham Yosovich, Sergey Agdarov, Yafim Beiderman, Yevgeny Beiderman, Zeev Zalevsky","doi":"10.1117/1.JBO.30.5.056003","DOIUrl":"https://doi.org/10.1117/1.JBO.30.5.056003","url":null,"abstract":"<p><strong>Significance: </strong>Stroke is a leading cause of disability worldwide, necessitating rapid and accurate diagnosis to limit irreversible brain damage. However, many advanced imaging modalities (computerized tomography, magnetic resonance imaging) remain inaccessible in remote or resource-constrained settings due to high costs and logistical barriers.</p><p><strong>Aim: </strong>We aim to evaluate the feasibility of a laser speckle-based technique, coupled with deep learning, for detecting simulated stroke conditions in a tissue phantom. We investigate whether speckle patterns can be leveraged to differentiate healthy from restricted flow states in arteries of varying diameters and depths.</p><p><strong>Approach: </strong>Artificial arteries (3 to 6 mm diameters) were embedded at different depths (0 to 10 mm) within a skin-covered chicken tissue, to mimic blood-flow scenarios ranging from no flow (full occlusion) to high flow. A high-speed camera captured the secondary speckle patterns generated by laser illumination. These video sequences were fed into a three-dimensional convolutional neural network (X3D_M) to classify four distinct flow conditions.</p><p><strong>Results: </strong>The proposed method showed high classification accuracy, reaching 95% to 100% for larger vessels near the surface. Even for smaller or deeper arteries, detection remained robust ( <math><mrow><mo>></mo> <mn>80</mn> <mo>%</mo></mrow> </math> in most conditions). The performance suggests that spatiotemporal features of speckle patterns can reliably distinguish varying blood-flow states.</p><p><strong>Conclusions: </strong>Although tested on a tissue phantom, these findings highlight the potential of combining speckle imaging with deep learning for accessible, rapid stroke detection. Our next steps involve direct <i>in vivo</i> experiments targeting cerebral arteries, acknowledging that additional factors such as the skull's optical properties and the likely need for near-infrared illumination must be addressed before achieving true intracranial applicability. We also note that examining the carotid artery <i>in vivo</i> remains a valuable and practical step, given its superficial location and direct relevance to stroke risk.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 5","pages":"056003"},"PeriodicalIF":3.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12058334/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cherenkov light emission in external beam radiation therapy of the larynx.","authors":"Jigar Dubal, Pedro Arce, Chris South, Lucia Florescu","doi":"10.1117/1.JBO.30.5.055002","DOIUrl":"10.1117/1.JBO.30.5.055002","url":null,"abstract":"<p><strong>Significance: </strong>Cherenkov light emitted in the tissue during radiation therapy enables unprecedented approaches to tumor functional imaging for early treatment assessment. Cherenkov light-based tomographic imaging requires image reconstruction algorithms based on internal light sources that, in turn, require knowledge about the characteristics of the Cherenkov light within the patient.</p><p><strong>Aim: </strong>We aim to investigate the spatial and spectral characteristics of Cherenkov light within the patient and at the patient's surface, and the origin within the tissue of light reaching the surface, to provide insight for the development of image reconstruction algorithms for Cherenkov light-based tomographic imaging.</p><p><strong>Approach: </strong>Numerical experiments using clinical patient data and Monte Carlo simulations are performed for the radiation therapy of laryngeal cancer for intensity-modulated radiation therapy and volumetric-modulated arc radiation therapy.</p><p><strong>Results: </strong>The emitted Cherenkov light is concentrated in regions of high delivered dose, with the spatial distribution within the patient and at the patient's surface depending on the treatment type and patient anatomy. The Cherenkov light at the patient's surface is dominant in the near-infrared spectral region. Light emitted within the tumor emerges at the patient's surface on a well-defined radiation beam-independent region. The distribution within the patient of the emitted light that emerges on reduced areas on the patient's surface containing this region is similar to that of the light that emerges across the entire patient's surface.</p><p><strong>Conclusions: </strong>Detailed information about the spectral and spatial characteristics of Cherenkov light is provided. In addition, these results suggest that surface light measurements restricted to smaller areas containing the region where the light emitted in the tumor emerges (that can be determined through simulations prior to the treatment) could enable probing the tumor while being easier to integrate with the radiotherapy system and while the effect of measurement data incompleteness on image reconstruction may not be too strong.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 5","pages":"055002"},"PeriodicalIF":3.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12120355/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144181646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}