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Purpose: The main purpose of this study was to assess the reliability of shape and heterogeneity features in both Positron Emission Tomography (PET) and low-dose Computed Tomography (CT) components of PET/CT. A secondary objective was to…

计算机视觉与模式识别 · 计算机科学 2016-10-06 Marie-Charlotte Desseroit , Florent Tixier , Wolfgang Weber , Barry A Siegel , Catherine Cheze Le Rest , Dimitris Visvikis , Mathieu Hatt

Purpose: In multi-spectral imaging (MSI), several fast spin echo volumes with discrete Larmor frequency offsets are acquired in an interleaved fashion with multiple concatenations. Here, a variable resolution (VR) method to nearly halve…

医学物理 · 物理学 2023-06-06 Nikolai J. Mickevicius , Azadeh Sharafi , Andrew S. Nencka , Kevin M. Koch

Artificial intelligence (AI)-based methods are showing substantial promise in segmenting oncologic positron emission tomography (PET) images. For clinical translation of these methods, assessing their performance on clinically relevant…

医学物理 · 物理学 2023-04-19 Ziping Liu , Joyce C. Mhlanga , Barry A. Siegel , Abhinav K. Jha

Early assessment of tumor therapeutic response is an important topic in precision medicine to optimize personalized treatment regimens and reduce unnecessary toxicity, cost, and delay. Although diffusion MRI (dMRI) has shown potential to…

医学物理 · 物理学 2024-08-06 Diwei Shi , Sisi Li , Fan Liu , Xiaoyu Jiang , Lei Wu , Li Chen , Quanshui Zheng , Haihua Bao , Hua Guo , Junzhong Xu

Efficient, reliable and reproducible target volume delineation is a key step in the effective planning of breast radiotherapy. However, post-operative breast target delineation is challenging as the contrast between the tumor bed volume…

图像与视频处理 · 电气工程与系统科学 2021-07-27 Mahdieh Kazemimoghadam , Weicheng Chi , Asal Rahimi , Nathan Kim , Prasanna Alluri , Chika Nwachukwu , Weiguo Lu , Xuejun Gu

In post-operative radiotherapy for prostate cancer, the cancerous prostate gland has been surgically removed, so the clinical target volume (CTV) to be irradiated encompasses the microscopic spread of tumor cells, which cannot be visualized…

Purpose: Tumor-associated vasculature differs from healthy blood vessels by its chaotic architecture and twistedness, which promotes treatment resistance. Measurable differences in these attributes may help stratify patients by likely…

Purpose: Radiotherapy presents unique challenges and clinical requirements for longitudinal tumor and organ-at-risk (OAR) prediction during treatment. The challenges include tumor inflammation/edema and radiation-induced changes in organ…

计算机视觉与模式识别 · 计算机科学 2021-09-01 Donghoon Lee , Sadegh R Alam , Jue Jiang , Pengpeng Zhang , Saad Nadeem , Yu-Chi Hu

Kidney DCE-MRI aims at both qualitative assessment of kidney anatomy and quantitative assessment of kidney function by estimating the tracer kinetic (TK) model parameters. Accurate estimation of TK model parameters requires an accurate…

机器学习 · 计算机科学 2022-01-03 Aziz Koçanaoğulları , Cemre Ariyurek , Onur Afacan , Sila Kurugol

Iterative image reconstruction (IIR) with sparsity-exploiting methods, such as total variation (TV) minimization, investigated in compressive sensing (CS) claim potentially large reductions in sampling requirements. Quantifying this claim…

医学物理 · 物理学 2012-08-21 Jakob H. Jørgensen , Emil Y. Sidky , Xiaochuan Pan

Sampling high-dimensional images is challenging due to limited availability of sensors; scanning is usually necessary in these cases. To mitigate this challenge, snapshot compressive imaging (SCI) was proposed to capture the…

图像与视频处理 · 电气工程与系统科学 2020-05-19 Xin Yuan

Compressed sensing (CS) is a valuable technique for reconstructing measurements in numerous domains. CS has not yet gained widespread adoption in scanning tunneling microscopy (STM), despite potentially offering the advantages of lower…

介观与纳米尺度物理 · 物理学 2022-02-09 Brian E. Lerner , Anayeli Flores-Garibay , Benjamin J. Lawrie , Petro Maksymovych

In Photoacoustic imaging (PAI), the most prevalent beamforming algorithm is delay-and-sum (DAS) due to its simple implementation. However, it results in a low quality image affected by the high level of sidelobes. Coherence factor (CF) can…

信号处理 · 电气工程与系统科学 2017-10-10 Moein Mozaffarzadeh , Mohammad Mehrmohammadi , Bahador Makkiabadi

Chemical Shift Imaging (CSI) or Chemical Shift Encoded Magnetic Resonance Imaging (CSE-MRI) enables the quantification of different chemical species in the human body, and it is one of the most widely used imaging modalities used to…

信号处理 · 电气工程与系统科学 2025-04-02 Cristobal Arrieta , Carlos A. Sing Long

Mammography screening for early detection of breast lesions currently suffers from high amounts of false positive findings, which result in unnecessary invasive biopsies. Diffusion-weighted MR images (DWI) can help to reduce many of these…

Noise is one of the major problems that hinder an effective texture analysis of disease in medical images, which may cause variability in the reported diagnosis. In this paper seven texture measurement methods (two wavelet, two model and…

计算机视觉与模式识别 · 计算机科学 2015-12-29 Omar Sultan Al-Kadi

In this study, 18F-FDG PET/CT brain scans of 50 patients with head and neck malignant lesions were employed to systematically assess the relationship between the amount of injected dose (10%, 8%, 6%, 5%, 4%, 3%, 2%, and 1% of standard dose)…

医学物理 · 物理学 2021-03-22 Behnoush Sanaei , Reza Faghihi , Hossein Arabi

The superior soft tissue differentiation provided by MRI may enable more accurate tumor segmentation compared to CT and PET, potentially enhancing adaptive radiotherapy treatment planning. The Head and Neck Tumor Segmentation for MR-Guided…

Quantitative assessment of treatment response in Advanced Prostate Cancer (APC) with bone metastases remains an unmet clinical need. Whole-Body Diffusion-Weighted MRI (WB-DWI) provides two response biomarkers: Total Diffusion Volume (TDV)…

Accurate tumor size measurement is a cornerstone of evaluating cancer treatment response. The most widely adopted standard for this purpose is the Response Evaluation Criteria in Solid Tumors (RECIST) v1.1, which relies on measuring the…

计算机视觉与模式识别 · 计算机科学 2025-11-04 Agnar Martin Bjørnstad , Elias Stenhede , Arian Ranjbar