A 52-year-old man presented with progressive dysphagia and body weight loss for one month. Esophageal cancer with squamous cell carcinoma was diagnosed via esophagoscopy. Then he received subtotal esophagectomy with reconstruction. After the operation, follow-up chest radiograph showed two air-fluid level lesions over both lungs (Picture 1A, B). We performed thoracocentesis and tube drainage to...

Bioluminescence tomography is known as a highly ill-posed inverse problem. To improve the reconstruction performance by introducing anatomical structures as a priori knowledge, an automatic segmentation framework has been proposed in this paper to extract the mouse whole-body organs and tissues, which enables to build up a heterogeneous mouse model for reconstruction of bioluminescence tomograp...

In this paper we present an efficient implementation of an algorithm for reconstructing a 3D volume from limited angle projection data, based on statistical inversion theory. We demonstrate the strength of the method for detecting structural defects in large composite aerospace components, whose dimensions prevent acquiring measurements over the full circle. In comparison with a number of other...

this paper intends to compare the abilities of the two major imaging modalities in nuclear medicine imaging: positron emission tomography (pet) and single photon emission computed tomography (spect). the motivations are many-fold: (i) to gain a better understanding of the strengths and limitations of the two imaging modalities in the context of recent and ongoing developments in hardware and so...

The reconstruction from sparseor few-view projections is one of important problems in computed tomography limited by the availability or feasibility of a large number of projections. Working with a small number of projections provides a lower radiation dose and a fast scan time, however an error associated with the sparse-view reconstruction increases significantly as the space sparsity increas...

Background: This study assessed the optimal timing of computed tomography for detection of metastatic disease in locoregional lymph nodes in patients with rectal cancer who have undergone chemoradiotherapy. Materials and Methods: This observational retrospective study was performed in a single institution. All patients with locally advanced rectal cancer treated with chemoradiotherapy, followed...

This paper presents a new hybrid algorithm using multiple Support Vector Machines models with convolutional autoencoder to Electrical Impedance Tomography, and Ultrasound Computed Tomography image reconstruction. The ultimate solution uses SVM convert input measurements individual codes representing given scene then the decoder part of can reconstruct

Introduction: The image quality of computed tomography (CT) can be seriously lowered by metal implants of patients. These implants are known to exert a significant impact on diagnostic accuracy due to artifacts. The current study aimed to assess the usefulness of Metal Artifact Reduction (MAR) software in the reduction of metal artifacts, in comparison to iterative rec...

New iterative algorithms are presented for Maximum Likelihood (ML) and Regularized Maximum Likelihood (MAP) reconstruction in Transmission Tomography (CT). The algorithms are natural extensions to CT of RAMLA, a well known method for ML reconstruction in Emission Computed Tomography (ECT). We show that the new algorithm for ML solutions produces similar, or even better results than EM-like algo...

BACKGROUND Generally, attenuation correction is made by incorporating a linear attenuation coefficient, which is based on the attenuation coefficient map (mu-map) created from a computed tomography scan, into the ordered subsets-expectation maximization reconstruction method in non-uniform domains. A non-uniform Chang's attenuation correction method that uses the mu-map created from a computed ...