Image Processing and Analysis for Preclinical and Clinical Applications

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Chemistry; Research & information: general; [11C]-methionine positron emission tomography; 4D-flow; abdominal ultrasound images; artificial intelligence; atrial fibrillation; automated prostate-volume estimation; Basal Cell Carcinoma; cancer; cancer cells; classification; colon; computed tomography; computed tomography images; computer-aided diagnosis; convolutional neural network; convolutional neural network (CNN); deep learning; ENet; ERFNet; feature extraction; fundus image; gamma knife; Gate's method; glomerular filtration rate; high-level synthesis; image pre-processing; image registration; image-patch voting; imaging quantification; in vivo assay; magnetic resonance imaging (MRI); maxillofacial fractures; medical-image analysis; MRI; n/a; neoadjuvant chemoradiation therapy (nCRT); nuclear medicine; pathologic complete response (pCR); PET/MRI co-registration; pipelined architecture; positron emission tomography-computed tomography; prostate; pulmonary vein ablation; radiography; radiomics; radiomics feature robustness; rectal cancer; renal depth; segmentation; skin lesion; soft tissue sarcoma; stasis; transfer learning; UNet; volume estimation; X-ray pre-processing; xenotransplant; zebrafish image analysis
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (228 p.)
• ISBN: 9783036550138; 9783036550145; books978-3-0365-5014-5
• Access: Open Access

Radiomics is one of the most successful branches of research in the field of image processing and analysis, as it provides valuable quantitative information for the personalized medicine. It has the potential to discover features of the disease that cannot be appreciated with the naked eye in both preclinical and clinical studies. In general, all quantitative approaches based on biomedical images, such as positron emission tomography (PET), computed tomography (CT) and magnetic resonance imaging (MRI), have a positive clinical impact in the detection of biological processes and diseases as well as in predicting response to treatment. This Special Issue, "Image Processing and Analysis for Preclinical and Clinical Applications", addresses some gaps in this field to improve the quality of research in the clinical and preclinical environment. It consists of fourteen peer-reviewed papers covering a range of topics and applications related to biomedical image processing and analysis.