Results 1 to 10 of about 348,005 (268)

Optimal slice thickness for improved accuracy of quantitative analysis of fluorescent cell and microsphere distribution in cryo-images [PDF]

Scientific Reports, 2023
Cryo-imaging has been effectively used to study the biodistribution of fluorescent cells or microspheres in animal models. Sequential slice-by-slice fluorescent imaging enables detection of fluorescent cells or microspheres for corresponding ...
Patiwet Wuttisarnwattana, Brendan L. Eck, Madhusudhana Gargesha, David L. Wilson   +3 more
doaj   +2 more sources

Different CT slice thickness and contrast‐enhancement phase in radiomics models on the differential performance of lung adenocarcinoma [PDF]

Thoracic Cancer, 2022
Background To investigate the effects of computed tomography (CT) reconstruction slice thickness and contrast‐enhancement phase on the differential diagnosis performance of radiomic signature in lung adenocarcinoma.
Yang Wang, Fang Liu, Yan Mo, Chencui Huang, Yingxin Chen, Fuliang Chen, Xiangwei Zhang, Yunxin Yin, Qiang Liu, Lin Zhang   +9 more
doaj   +2 more sources

Deep Learning-Based Slice Thickness Reduction for Computer-Aided Detection of Lung Nodules in Thick-Slice CT. [PDF]

Diagnostics (Basel)
Background/Objectives: Computer-aided detection (CAD) systems for lung nodule detection often face challenges with 5 mm computed tomography (CT) scans, leading to missed nodules. This study assessed the efficacy of a deep learning-based slice thickness reduction technique from 5 mm to 1 mm to enhance CAD performance.
Jeong J, Park D, Kang JH, Kim M, Kim HY, Choi W, Ham SY.   +6 more
europepmc   +4 more sources

Automated procedure for slice thickness verification of computed tomography images: Variations of slice thickness, position from iso-center, and reconstruction filter. [PDF]

J Appl Clin Med Phys, 2021
AbstractPurposeThe purpose of this study is to automate the slice thickness verification on the AAPM CT performance phantom and validate it for variations of slice thickness, position from iso‐center, and reconstruction filter.MethodsAn automatic procedure for slice thickness verification on AAPM CT performance phantom was developed using MATLAB R2015b.
Lasiyah N, Anam C, Hidayanto E, Dougherty G.   +3 more
europepmc   +4 more sources

Validation of the influence of CT slice thickness on the quantitative accuracy and image quality of single photon emission computed tomography [PDF]

Asia Oceania Journal of Nuclear Medicine and Biology, 2021
Objective(s): Computed tomography (CT) images are used for precise anatomical location of lesions and for accurate attenuation correction in single-photon emission computed tomography (SPECT) image reconstruction in SPECT/CT examination.
Tomohiro Sato, Takashi Takagi
doaj   +2 more sources

The Effect of Slice Thickness on Contours of Brain Metastases for Stereotactic Radiosurgery [PDF]

Advances in Radiation Oncology, 2021
Objectives: Stereotactic radiosurgery is a common treatment for brain metastases and is typically planned on magnetic resonance imaging (MRI). However, the MR acquisition parameters used for patient selection and treatment planning for stereotactic ...
Sara L. Thrower, PhD, Karine A. Al Feghali, MD, Dershan Luo, PhD, Ian Paddick, MSc, Ping Hou, PhD, Tina Briere, PhD, Jing Li, MD, PhD, Mary Frances McAleer, MD, PhD, Susan L. McGovern, MD, PhD, Kristina Demas Woodhouse, MD, Debra Nana Yeboa, MD, Kristy K. Brock, PhD, Caroline Chung, MD   +12 more
doaj   +2 more sources

Improved Consistency of Lung Nodule Categorization in CT Scans with Heterogeneous Slice Thickness by Deep Learning-Based 3D Super-Resolution [PDF]

Diagnostics
Background/Objectives: Accurate volumetric assessment of lung nodules is an essential element of low-dose lung cancer screening programs. Current guidance recommends applying specific thresholds to measured nodule volume to make the following clinical ...
Dongok Kim, Jae Hyung Park, Chang Hyun Lee, Young-Ju Kim, Jong Hyo Kim   +4 more
doaj   +2 more sources

Optimal slice thickness for object detection with longitudinal partial volume effects in computed tomography. [PDF]

J Appl Clin Med Phys, 2017
Longitudinal partial volume effects (z-axial PVE), which occur when an object partly occupies a slice, degrade image resolution and contrast in computed tomography (CT). Z-axial PVE is unavoidable for subslice objects and reduces their contrast according
Monnin P, Sfameni N, Gianoli A, Ding S.
europepmc   +3 more sources

Impact of Slice Thickness on the Predictive Value of Lung Cancer Screening Computed Tomography in the Evaluation of Coronary Artery Calcification [PDF]

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2019
Background Image reconstruction thickness may impact quantitative coronary artery calcium scoring (CACS) from lung cancer screening computed tomography (LCSCT), limiting its application in practice.
Jared L. Christensen, Esseim Sharma, Anastassia Y. Gorvitovskaia, Jerome P. Watts, Maen Assali, Jade Neverson, Wen‐Chih Wu, Gaurav Choudhary, Alan R. Morrison   +8 more
doaj   +2 more sources

Impact of CT slice thickness on volume and dose evaluation during thoracic cancer radiotherapy [PDF]

Cancer Management and Research, 2018
Huanli Luo, Yanan He, Fu Jin, Dingyi Yang, Xianfeng Liu, Xueqi Ran, Ying Wang Department of Radiation Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, China Introduction ...
Luo H, He Y, Jin F, Yang D, Liu X, Ran X, Wang Y   +6 more
doaj   +2 more sources