BSREM Reconstruction for Improved Detection of In-Transit Metastases With Digital FDG-PET/CT in Patients With Malignant Melanoma

被引：15
作者：
Aljared, Arwa [1 ]
Alharbi, Abdullah Awad [1 ]
Huellner, Martin W. [1 ]
机构：
[1] Univ Zurich, Dept Nucl Med, Univ Zurich Hosp, Ramistr 100, CH-8091 Zurich, Switzerland
来源：
CLINICAL NUCLEAR MEDICINE | 2018年 / 43卷 / 05期
关键词：
BSREM; malignant melanoma; in-transit metastasis; FDG; PET/CT; OSEM; PSF; PENALIZED LIKELIHOOD RECONSTRUCTION; CLINICAL-EVALUATION; EXPECTATION MAXIMIZATION; IMAGE QUALITY; ALGORITHM; IMPACT;
D O I：
10.1097/RLU.0000000000002024
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
Block sequential regularized expectation maximization (BSREM) is a Bayesian penalized-likelihood reconstruction algorithm for PET, which reaches full convergence without the detriment of deteriorating the image quality by noise. Therefore, BSREM might have implications particularly for the detection of small lesions, which may be beneficial in melanoma patients. Our case of a 70-year-old man with metastasized malignant melanoma illustrates the impact of such a novel iterative PET reconstruction algorithm. Whereas the lymph node metastases are seen with the latest generation ordered subset expectation maximization reconstruction, the in-transit metastases are identified straightforward only with BSREM reconstruction.
引用
收藏
页码：370 / 371
页数：2
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