Biomedical Physics & Engineering Express最新文献

{"title":"Mamba-EdgeNet: learnable edge-guided state space model for skin lesion segmentation.","authors":"Jiaming Xu, Qi Mao, Lei Qiu, Yu Chen, Gongshuang Tao","doi":"10.1088/2057-1976/aeada8","DOIUrl":"10.1088/2057-1976/aeada8","url":null,"abstract":"<p><p>Skin lesion segmentation is one of the key tasks in computer-aided diagnosis. However, accurate boundary delineation remains challenging because of low contrast, irregular boundaries, and visual artifacts in skin lesion areas. To address these problems, we developed Mamba-EdgeNet. Mamba-EdgeNet is a hybrid encoder-decoder framework that selectively integrates ResNet50 with EfficientMamba2D state-space blocks. A resolution-adaptive scanning strategy dynamically alternates between multi-directional and sequential spatial scanning, enabling long-range contextual modeling with linear complexity relative to sequence length. To delineate fuzzy borders, a learnable edge-guidance branch is constructed. Structural priors are generated using a learnable edge enhancer and a shallow edge extractor and are subsequently refined through interactions with deep semantic features. A gated fusion decoder adaptively integrates these edge-aware cues with hierarchical semantic features to resolve feature ambiguity and restore fine-grained contours. Evaluations on the official ISIC 2016 and ISIC 2018 splits, together with an internal evaluation using a nonstandard custom partition of ISIC 2017, indicate that the proposed architecture achieves competitive segmentation performance relative to recent representative models across multiple evaluation metrics. Controlled ablation studies further support the contributions of the functional components and loss supervision strategies. Additionally, in-domain evaluation on PH2 and bidirectional cross-dataset transfer between PH2 and ISIC 2018 provide complementary assessments of segmentation performance in within-dataset and cross-dataset settings. These findings indicate that Mamba-EdgeNet is a competitive approach for automated skin lesion segmentation with improved boundary representation.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149079532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Voxel-based ray-tracing modeling of 635 nm optical energy deposition in skin with different pigmentation levels.","authors":"Zahra Al Timimi, Zeina J M Tamimi","doi":"10.1088/2057-1976/aeada9","DOIUrl":"10.1088/2057-1976/aeada9","url":null,"abstract":"<p><p><i>Background.</i>Energy absorption in the skin caused by photobiomodulation therapy is highly dependent on the presence of epidermal melanin pigmentation. Accurate determination of the spatial energy distribution is vital for dosimetric purposes based on pigmentation.<i>Methods.</i>A voxel-based numerical model that utilizes the ASAP software package was created to model light scattering and absorption in the skin, comprised of a three-layer system (stratum corneum, epidermis, dermis). The absorbed power density (W mm³) was determined from the voxel-based absorbed energy for an input laser power of 2-20 MW at a wavelength of 635 nm. Low and high pigmentation models were considered using epidermal absorption coefficients selected to represent conditions associated with Fitzpatrick skin types I-II and V-VI, respectively.<i>Results.</i>Power density was shown to have pronounced depth dependence, with maximum power absorption observed at a depth of about 0.02-0.04 mm in the basal epidermis. High pigmentation was accompanied by higher absorption within the superficial epidermal region, with the increased absorption remaining concentrated near the epidermis. The energy-balance check showed agreement between total absorbed and incident power within 5%-8% under the modeled conditions.<i>Conclusion.</i>Skin pigmentation considerably affects spatial power deposition in 635 nm irradiation. The proposed approach represents a physically consistent framework to study effects related to skin pigmentation in optical dosimetry, while its physiological implications need experimental verification.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149079611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic pipeline for evaluating factors affecting radar-based microwave breast imaging quality.","authors":"Eleonora Razzicchia, Yunxiao Zhang, Anthony Gracioppo, Ali Farshkaran, Sibi C Shanmugavel, Shwetadwip Chowdhury, Emily Porter","doi":"10.1088/2057-1976/aea856","DOIUrl":"10.1088/2057-1976/aea856","url":null,"abstract":"<p><p>Microwave imaging (MWI) has emerged as a promising non-ionizing, cost-effective technique for breast cancer detection. However, the influence of key system design choices remains poorly characterized. This study aims to systematically investigate how antenna array geometry, tumor characteristics, and tissue dielectric properties influence radar-based image reconstruction using a robust computational pipeline. A total of 575 different scenarios were simulated and analyzed, combining 25 distinct breast models with varying tumor configurations and 23 antenna configurations (including 20 randomly selected antenna subsets and 3 uniform arrays). The breast models included one or two tumors with varying radii, embedded in backgrounds with different dielectric properties. Quantitative metrics such as signal-to-noise ratio (SNR), signal-to-mean ratio, localization error, and separation error were used to consistently evaluate the reconstructed images. Additionally, a proof-of-concept experimental study using a laboratory MWI prototype was also conducted to demonstrate the applicability of the proposed pipeline to measured data. Simulation results show that image quality improves with increasing antenna count, while, among arrays with the same number of elements, uniform and symmetric geometries achieve higher average SNR than asymmetric configurations. Tissue relative permittivity and tumor size show limited correlation with the image quality metrics, whereas tumor location within the phantom significantly affects localization accuracy. The experimental proof of concept further demonstrated the capability of the proposed pipeline to compare different types of reconstruction algorithms using the same quantitative image quality metrics. These findings provide quantitative insights into the influence of antenna array design on breast MWI performance and demonstrate the value of systematic simulation-based evaluation frameworks. The proposed methodology can support the optimization of antenna array layouts and facilitate the development of more effective MWI systems prior to clinical translation.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13643835/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148981925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HGMA-Net: a hierarchical graph-mamba encoder for multi-modal brain disorder classification on population graphs.","authors":"Wanting Lai, Kehong Zheng, Yongling He, Xiaozhen Lin, Ying Liu, Xuejun Qiu","doi":"10.1088/2057-1976/aeaaec","DOIUrl":"10.1088/2057-1976/aeaaec","url":null,"abstract":"<p><p>Brain disorder (BD) classification based on population graph learning has shown promising performance by jointly modeling resting-state functional magnetic resonance imaging data and phenotypic information. Existing graph Transformer-based population graph encoders suffer from high computational cost on densely connected subject graphs and lack an efficient mechanism for global contextual modeling across distant subjects. To address these limitations, we propose HGMA-Net, a hierarchical graph-Mamba hybrid framework for multi-modal BD classification. Specifically, the proposed HGMA module redesigns the shallow encoder stage using a dual-path architecture that combines local graph aggregation with global sequence modeling. A degree-guided node serialization strategy provides a topology-aware ordering of graph nodes, enabling bidirectional Mamba state space models to efficiently capture global contextual information with linear sequence complexity. An adaptive gating mechanism is further introduced to dynamically fuse global sequential features and local graph-structural features. To balance computational efficiency and representational capacity, HGMA is applied only at the first encoder layer, while deeper layers retain TransformerConv for local topology refinement. Experiments on the ABIDE and ADHD-200 datasets demonstrate that HGMA-Net achieves superior classification performance, obtaining AUC scores of 89.14% and 91.70%, respectively. HGMA-Net also retains efficient inference when global contextual modeling is introduced at the shallow encoder stage.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149023852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling Electromagnetically Driven Thermoacoustic Pressure Wave Buildup in the Brain.","authors":"Cody Donald Baker, M Baker, A Idesman, Ravindra P Joshi","doi":"10.1088/2057-1976/aeb0b2","DOIUrl":"https://doi.org/10.1088/2057-1976/aeb0b2","url":null,"abstract":"<p><p>The proliferation of wireless communications, high-power microwave (HPM) sources, radar, and other microwave technology has necessitated research into potential HPM bioeffects. Here we present a multi-physics simulation study to probe the possible generation of thermoacoustic pressure waves from incident electromagnetic pulses, in a layered dielectric representation of the human head. The model is designed to offer flexibility with customizable pulse length, rise and fall times, repetition rates, applied electric field value, and user-defined directional orientation. Our results suggest that pressure could be generated at the center of the intra-cranial region, qualitatively in keeping with some reports in the literature. Continuous pulsing is seen to lead to pressure build-up in the head close to the location of incident stimulus; while with short-pulsed stimulation, the effects are predicted to be greater at the center of the intra-cranial region. The results also show that with decreases in pulse length, while the absolute pressure amplitude is enhanced, the disturbance becomes less oscillatory in nature.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149103475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Entropy of the resting state cortex in epilepsy.","authors":"Kirandeep Kaur, Jack O'Brien-Cairney, Gaurav Singh, Manoj Upadhya, Aphrodite Chakraborty, Sarat P Chandra, Harald Prüss, Hans-Christian Kornau, Dietmar Schmitz, Gavin Woodhall, Richard Rosch, Maia Angelova, Stefano Seri, Manjari Tripathi, Sukhvir K Wright, Caroline Witton","doi":"10.1088/2057-1976/aea858","DOIUrl":"10.1088/2057-1976/aea858","url":null,"abstract":"<p><p>Epilepsy has long been conceptualized as a disorder in which aberrant brain dynamics extend beyond the epileptogenic zone. Evidence demonstrates that loss of entropy is a generic feature of pathological dynamics in the brain, including the ictal state. However, the impact of recurrent seizures on entropy in the interictal state remains unknown. Resting state magnetoencephalography (MEG) scans and resection masks of 32 individuals with epilepsy who had Engel I outcome post-surgery were retrospectively retrieved. Using co-registered FreeSurfer parcellations, we reconstructed the source localized MEG time series and computed sample entropy (SE) for 114 regions of interest. We then tested the association of entropy with the resected volume of the brain, and additional clinical variables including the age of seizure onset, seizure frequency and duration of epilepsy. To further understand the temporal relationship between seizure onset and entropy in the interictal state, we collected and computed SE for week-long electroencephalography traces from leucine-rich glioma inactivated 1 monoclonal antibody (LGI1-mAb) rodent models of autoimmune encephalitis (<i>n</i>= 5) and control rats (<i>n</i>= 5). We found that in individuals with epilepsy, a lower age of seizure onset was associated with lower mean SE of the whole cortex (Spearman's rho = 0.60,<i>p</i>< 0.001; partial correlation = 0.41,<i>p</i>= 0.021). Entropy did not differ between the resected and non-resected regions of the brain. Furthermore, in an exploratory analysis, LGI1-mAb treated rodents showed lower SE as compared to control rats, after the onset of seizures. Together, the results indicate that cortical entropy may serve as a marker of long-term alterations in cortical dynamics associated with recurrent seizures.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13639335/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148981979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Online heart sound segmentation as temporal tracking: a closed-loop prediction-detection-update framework.","authors":"Yongchao Huo, Xiaodong Zhang, Yuanyuan Ni, Fei Zhao, Xiangyang Yan","doi":"10.1088/2057-1976/aea57f","DOIUrl":"10.1088/2057-1976/aea57f","url":null,"abstract":"<p><p>Accurate segmentation of phonocardiogram (PCG) recordings into the first and second heart sounds (S1 and S2) is essential for computer-aided auscultation, but remains challenging because cardiac-cycle timing, event duration, and waveform morphology vary across and within subjects. We formulate heart sound segmentation as a one-dimensional temporal tracking problem and propose an online closed-loop prediction-detection-update framework. S1 and S2 are tracked independently using a state vector that contains a reference-point location and left and right temporal extents. A Kalman filter predicts the next search region, an adaptive correlation filter localises the reference point with confidence-guided recovery, and a Mann-Kendall-Sneyers change-point detector refines the onset and offset. The resulting measurements update the state estimate, while accepted segments update the waveform template. On the PhysioNet 2016 and CirCor DigiScope datasets, the proposed method achieved<i>F</i>1 scores of 98.08% and 96.41%, respectively, exceeding the evaluated baselines. Under the strongest oscillatory interference, the corresponding<i>F</i>1 scores remained 97.67 ± 0.24% and 96.13 ± 0.26%. Ablation experiments confirmed the complementary contributions of temporal prediction, confidence-guided recovery, adaptive waveform matching, covariance updating, and boundary refinement. The proposed framework provides robust and interpretable online PCG segmentation for downstream cardiac analysis.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148928895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of neutron dose equivalent in prostate stereotactic body radiotherapy by bubble detector.","authors":"Sali Di, Brandon VanGenderen, Marcus Sonier, Joseph Awotwi-Pratt","doi":"10.1088/2057-1976/aeaba9","DOIUrl":"10.1088/2057-1976/aeaba9","url":null,"abstract":"<p><p>Stereotactic body radiotherapy (SBRT) for prostate cancer often uses high-energy photon beams, which can produce photoneutrons through interaction in the linac head, raising concerns regarding neutron-related exposure. Therefore, it is important to estimate neutron dose equivalent in SBRT plans when comparing beam energies and treatment delivery techniques. BD-PND fast neutron detectors were used in this study to quantify neutron dose equivalent in prostate SBRT plans. We performed dosimetry measurements using a Varian TrueBeam Linac and assessed neutron production at energies of 2.5 MV, 6 MV, 6 MV flattening filter free (FFF), 10 MV, 10 MV FFF and 15 MV. Bubble counts were converted to neutron dose equivalent using the manufacturer-provided calibration factor. The measured neutron dose equivalent was highest at the centre and decreased at peripheral measurement locations farther from the primary beam. Significant differences in neutron dose equivalent were found between flattening filter (FF) and FFF beams at the central beam position after multiple comparison correction. In contrast, peripheral positions showed no statistically significant differences. Additionally, low bubble counts were observed under 6 MV and 6 MV FFF beams, suggesting a low-level detector response under the present measurement conditions. Overall, beam energy, FF or FFF delivery and measurement positions all affect the measured neutron dose equivalent in prostate SBRT. The low-energy observation should be interpreted as preliminary, and additional work is needed, including repeated measurements, different detector types and more clinically relevant measurement locations.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149029633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of Radionuclide Cascade Decay Characteristics on Non-Collinear Coincidence Imaging Performance: A GATE-Based Monte Carlo Simulation Study.","authors":"Leonid L Nkuba, Enock M Mwita, Innocent J Junior, Elisha D Edmund, Innocent J Lugendo","doi":"10.1088/2057-1976/aeaeee","DOIUrl":"10.1088/2057-1976/aeaeee","url":null,"abstract":"<p><p>This study investigated the influence of radionuclide cascade decay characteristics on the performance of a non-collinear cascade coincidence imaging modality using Monte Carlo simulations implemented in the GATE platform. To evaluate their imaging performance, four cascade gamma-emitting radionuclides, namely 43K, 73Se, 111In and 177Lu were simulated at the center of the field of view of a small-animal PET scanner. The scanner is equipped with dual-layer Cerium-doped Gadolinium Oxyorthosilicate (GSO:Ce) detectors. The effects of cascade gamma-ray energies, emission probabilities, and intermediate-state half-lives on cascade coincidence detection efficiency (CCDE), sensitivity, random coincidence contribution, noise performance, scatter fraction and spatial resolution were evaluated. Simulated intermediate-state half-lives were compared with reference data to validate the simulation framework. The results showed that the simulated intermediate-state half-lives were in good agreement with the reference values, confirming the validity of the simulation model. All radionuclides achieved identical isotropic spatial resolution of approximately 0.477 mm FWHM, indicating that spatial resolution is primarily determined by detector geometry and the reconstruction algorithm rather than radionuclide decay characteristics. In contrast, the remaining imaging performance metrics strongly depended on cascade decay properties and coincidence timing conditions. 111In exhibited the highest sensitivity (15,058.8 cps/MBq) and CCDE, but also produced the highest random-to-true coincidence ratio (24.6%) due to its relatively long intermediate-state half-life and wider coincidence timing window. 73Se achieved the highest noise-equivalent cascade count rate, while scatter fractions remained negligible for most radionuclides. Therefore, under idealized Monte Carlo simulation conditions, radionuclide cascade decay characteristics, energy window and coincidence timing window optimization play critical roles in determining the performance of non-collinear cascade coincidence imaging systems. The reported performance represents an ideal detector model and should be validated under realistic detector and experimental conditions.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149103512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"3D ViT network with selective feature enhancement and cross-dimensional interaction for colorectal T-stage classification in CT images.","authors":"Jingyan Wang, Xiaojuan Gong, Tangruoyi Jin, Shuai Chen, Shaohua Zheng, Junrong Zhang","doi":"10.1088/2057-1976/aeaaea","DOIUrl":"10.1088/2057-1976/aeaaea","url":null,"abstract":"<p><p><i>Background.</i>Obstructive colorectal cancer (OCC) often manifests on computed tomography (CT) as highly variable in morphology and location, with indistinct margins, atypical infiltration signs, and frequent adherence to surrounding structures. In addition, motion artifacts caused by intestinal peristalsis further degrade image quality and interfere with the identification of subtle structures. These factors readily lead to misassessment in T-stage evaluation, and accurately distinguishing between T4 and non-T4 stages is critical as it directly influences surgical planning and clinical decision-making.<i>Purpose.</i>To address challenges of imaging heterogeneity and motion artifacts in T-stage evaluation, we proposed a 3D vision transformer (ViT) based model with feature enhancement and cross-dimensional interaction for T4/non-T4 classification of OCC.<i>Methods.</i>First, we extended ViT into 3D and incorporate a selective feature enhancement module. This module computes attention weights based on feature means, adaptively enhancing discriminative information while suppressing redundant responses. It effectively mitigates difficulties in identifying subtle structures like serosal invasion caused by motion artifacts and low contrast in CT images, enabling the model to focus on diagnostically critical regions. Second, we introduced a cross-dimensional adaptive feature aggregation mechanism that established multi-scale 3D spatial dependencies, integrating global context with fine-grained local details. This significantly improves the model's ability to characterize tumors with complex and variable morphological features, thereby reducing staging inaccuracies due to underutilized spatial information. Furthermore, cross-domain knowledge transfer was employed to enrich the model's representational capacity and alleviate the inherent data scarcity in 3D medical image analysis.<i>Results.</i>Evaluated on a private dataset of 127 CT scans, the proposed model achieved an AUC of 0.8917 and an accuracy of 0.7917 in T4/non-T4 classification, significantly outperforming mainstream 3D medical image classification networks.<i>Conclusions.</i>Our approach offers clinicians a reliable decision support tool for accurate OCC staging, allowing surgeons to tailor operative strategies based on quantitatively reliable imaging assessments.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149023796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}