期刊名：Tomography

期刊主页：https://www.mdpi.com/journal/tomography

1.

Anatomy of Maxillary Sinus: Focus on Vascularization and Underwood Septa via 3D Imaging

上颌窦解剖：基于三维成像重点观察血供与安德伍德间隔

https://www.mdpi.com/2379-139X/10/4/34

Bernardi, S.; Bianchi, S.; Gerardi, D.; Petrelli, P.; Rinaldi, F.; Piattelli, M.; Macchiarelli, G.; Varvara, G. Anatomy of Maxillary Sinus: Focus on Vascularization and Underwood Septa via 3D Imaging. Tomography 2024, 10, 444-458. https://doi.org/10.3390/tomography10040034

2.

CNN-Based Cross-Modality Fusion for Enhanced Breast Cancer Detection Using Mammography and Ultrasound

基于卷积神经网络的跨模态融合技术：提升钼靶与超声的乳腺癌检测效能

https://www.mdpi.com/2379-139X/10/12/145

Wang, Y.-M.; Wang, C.-Y.; Liu, K.-Y.; Huang, Y.-H.; Chen, T.-B.; Chiu, K.-N.; Liang, C.-Y.; Lu, N.-H. CNN-Based Cross-Modality Fusion for Enhanced Breast Cancer Detection Using Mammography and Ultrasound. Tomography 2024, 10, 2038-2057. https://doi.org/10.3390/tomography10120145

3.

Photon Counting Computed Tomography for Accurate Cribriform Plate (Lamina Cribrosa) Imaging in Adult Patients

光子计数计算机断层扫描用于成人患者筛状板精准成像

https://www.mdpi.com/2379-139X/10/3/31

Klempka, A.; Ackermann, E.; Clausen, S.; Groden, C. Photon Counting Computed Tomography for Accurate Cribriform Plate (Lamina Cribrosa) Imaging in Adult Patients. Tomography 2024, 10, 400-414. https://doi.org/10.3390/tomography10030031

4.

Computed Tomography Effective Dose and Image Quality in Deep Learning Image Reconstruction in Intensive Care Patients Compared to Iterative Algorithms

深度学习图像重建与迭代算法在重症患者中的 CT 有效剂量及图像质量对比

https://www.mdpi.com/2379-139X/10/6/69

Quaia, E.; Kiyomi Lanza de Cristoforis, E.; Agostini, E.; Zanon, C. Computed Tomography Effective Dose and Image Quality in Deep Learning Image Reconstruction in Intensive Care Patients Compared to Iterative Algorithms. Tomography 2024, 10, 912-921. https://doi.org/10.3390/tomography10060069

5.

Causal Forest Machine Learning Analysis of Parkinson’s Disease in Resting-State Functional Magnetic Resonance Imaging

帕金森病静息态功能磁共振成像的因果森林机器学习分析

https://www.mdpi.com/2379-139X/10/6/68

Solana-Lavalle, G.; Cusimano, M.D.; Steeves, T.; Rosas-Romero, R.; Tyrrell, P.N. Causal Forest Machine Learning Analysis of Parkinson’s Disease in Resting-State Functional Magnetic Resonance Imaging. Tomography 2024, 10, 894-911. https://doi.org/10.3390/tomography10060068

6.

BAE-ViT: An Efficient Multimodal Vision Transformer for Bone Age Estimation

BAE-ViT：一种用于骨龄评估的高效多模态视觉 Transformer 模型

https://www.mdpi.com/2379-139X/10/12/146

Zhang, J.; Chen, W.; Joshi, T.; Zhang, X.; Loh, P.-L.; Jog, V.; Bruce, R.J.; Garrett, J.W.; McMillan, A.B. BAE-ViT: An Efficient Multimodal Vision Transformer for Bone Age Estimation. Tomography 2024, 10, 2058-2072. https://doi.org/10.3390/tomography10120146

7.

Radiomic Analysis of Treatment Effect for Patients with Radiation Necrosis Treated with Pentoxifylline and Vitamin E

己酮可可碱联合维生素 E 治疗放射性坏死患者疗效的放射组学分析

https://www.mdpi.com/2379-139X/10/9/110

Patel, J.S.; Salari, E.; Chen, X.; Switchenko, J.; Eaton, B.R.; Zhong, J.; Yang, X.; Shu, H.-K.G.; Sudmeier, L.J. Radiomic Analysis of Treatment Effect for Patients with Radiation Necrosis Treated with Pentoxifylline and Vitamin E. Tomography 2024, 10, 1501-1512. https://doi.org/10.3390/tomography10090110

8.

Lumbar and Thoracic Vertebrae Segmentation in CT Scans Using a 3D Multi-Object Localization and Segmentation CNN

基于三维多目标定位与分割卷积神经网络的 CT 腰椎及胸椎分割

https://www.mdpi.com/2379-139X/10/5/57

Xiong, X.; Graves, S.A.; Gross, B.A.; Buatti, J.M.; Beichel, R.R. Lumbar and Thoracic Vertebrae Segmentation in CT Scans Using a 3D Multi-Object Localization and Segmentation CNN. Tomography 2024, 10, 738-760. https://doi.org/10.3390/tomography10050057

9.

Differentiation of Hamartomas and Malignant Lung Tumors in Single-Phased Dual-Energy Computed Tomography

单期相双能 CT 鉴别肺错构瘤与恶性肺肿瘤

https://www.mdpi.com/2379-139X/10/2/20

Winkelmann, M.T.; Gassenmaier, S.; Walter, S.S.; Artzner, C.; Nikolaou, K.; Bongers, M.N. Differentiation of Hamartomas and Malignant Lung Tumors in Single-Phased Dual-Energy Computed Tomography. Tomography 2024, 10, 255-265. https://doi.org/10.3390/tomography10020020

10.

The Utility of Spectroscopic MRI in Stereotactic Biopsy and Radiotherapy Guidance in Newly Diagnosed Glioblastoma

波谱磁共振成像在初诊胶质母细胞瘤立体定向活检与放疗引导中的应用价值

https://www.mdpi.com/2379-139X/10/3/33

Rejimon, A.C.; Ramesh, K.K.; Trivedi, A.G.; Huang, V.; Schreibmann, E.; Weinberg, B.D.; Kleinberg, L.R.; Shu, H.-K.G.; Shim, H.; Olson, J.J. The Utility of Spectroscopic MRI in Stereotactic Biopsy and Radiotherapy Guidance in Newly Diagnosed Glioblastoma. Tomography 2024, 10, 428-443. https://doi.org/10.3390/tomography10030033

Tomography 期刊介绍

主编：Prof. Dr. Emilio Quaia, University of Padova, Italy

期刊致力于发表医疗保健和生命科学领域中 (生物) 医学影像各方面的前沿研究 (包括显微镜技术)，涵盖从基础研究到临床科学、临床应用，以及影像数据科学与人工智能的创新。