AIMC Topic: Positron-Emission Tomography

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Alzheimer's Disease Brain Areas: The Machine Learning Support for Blind Localization.

Current Alzheimer research
The analysis of positron emission tomography (PET) scan image is challenging due to a high level of noise and a low resolution and also because differences between healthy and demented are very subtle. High dimensional classification methods based on...

Automatic anatomy recognition in whole-body PET/CT images.

Medical physics
PURPOSE: Whole-body positron emission tomography/computed tomography (PET/CT) has become a standard method of imaging patients with various disease conditions, especially cancer. Body-wide accurate quantification of disease burden in PET/CT images is...

Multimodal manifold-regularized transfer learning for MCI conversion prediction.

Brain imaging and behavior
As the early stage of Alzheimer's disease (AD), mild cognitive impairment (MCI) has high chance to convert to AD. Effective prediction of such conversion from MCI to AD is of great importance for early diagnosis of AD and also for evaluating AD risk ...

[A Case of Granulocyte-Colony Stimulating Factor-Producing Gastric Cancer Successfully Treated with Trastuzumab].

Gan to kagaku ryoho. Cancer & chemotherapy
A 68-year-old man diagnosed with type 0-Ⅰgastric cancer by gastrointestinal endoscopy underwent urgent distal gastrectomy due to a perforation during endoscopic submucosal resection. Pathological examination revealed pT3N2M0, pStage ⅢA. TS-1 was admi...

[Comparison Study of Left Ventricular Function Assessment by 18F-FDG PET, Gated SPECT and 2D-Echocardiography in Patients with Myocardial Infarction].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
The aim of this study is to analyze the concordance between EDV, ESV and LVEF values derived from 18F-FDG PET, GSPECT and ECHO in patients with myocardial infarction. Sixty-four patients with coronary artery disease (CAD) and myocardial infarction we...

SPEQTACLE: An automated generalized fuzzy C-means algorithm for tumor delineation in PET.

Medical physics
PURPOSE: Accurate tumor delineation in positron emission tomography (PET) images is crucial in oncology. Although recent methods achieved good results, there is still room for improvement regarding tumors with complex shapes, low signal-to-noise rati...

Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Dementia, Alzheimer's disease (AD) in particular is a global problem and big threat to the aging population. An image based computer-aided dementia diagnosis method is needed to providing doctors help during medical image examination. Many machine le...

Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine.

Journal of Alzheimer's disease : JAD
Alzheimer's disease (AD) is one of the most serious progressive neurodegenerative diseases among the elderly, therefore the identification of conversion to AD at the earlier stage has become a crucial issue. In this study, we applied multimodal suppo...