الصفحة 2
الصفحة 2
Liver MRI : Correlation with other Imaging Modalities and Histopathology
In this seminal manuscript the - thor described a new imaging technique which moved the single dimension of NMR spectroscopy to the dual dimension of spatial orientation, thereby resulting in the foundation of modern magnetic re- nance (MR) imaging. Over the ensuing years, MR imaging has assumed an increasingly important role in clinical imaging. It distinguishes itself from other imaging modalities, such as ultrasound (US) or computed tomography (CT), by the unique ability to visualize specific tissue components in a non-- vasive manner. In the earlier days, diagnostic MR imaging was limited to cerebral and musculoskeletal diseases. - aging of other areas which are more prone to movement through breathing (abdominal) or pulsation motions (cardiac) became available more recently, with the introduction of faster sequences and the - velopment of more dedicated MR imaging coils.
Complex Anorectal Disorders : Investigation and Management
Book has focused on the broad structural investigation of the anorectum and on the focused management of largely “functional” problems. And it has done so in style. For this is a core area of specialist practice;your more general colleagues may think twice before referring you new cases of cancer and in?ammatory bowel disease (both also central areas in colorectal surgery), but they will not hesitate in referring the patients whose inves- gation and management are described here. And they will expect you to know how to deal with them. These are some of the most challenging patients to manage. Rightly have the editors covered the physiological areas,rightly the psychological issues, rightly the medicolegal aspects: here is the making of a specialist—the sword and the shield.
Artificial intelligence applied to medical imaging and computational biology
Medical imaging and computational biology continuously pose new fundamental medical and biological questions that often give rise to novel challenges in Artificial Intelligence. These research fields present an increasing need for the application of cutting-edge computational approaches that generally involve machine learning or computational intelligence techniques, which can effectively perform bioimage and biosignal processing in different clinical areas.
