The course and outcome is poor for most patients with pancreatic diseases.Advances in pancreatic imaging are important in the detection of pancreatic diseases at early stages.Ultrasonography as a diagnostic tool has m...The course and outcome is poor for most patients with pancreatic diseases.Advances in pancreatic imaging are important in the detection of pancreatic diseases at early stages.Ultrasonography as a diagnostic tool has made,virtually speaking a technical revolution in medical imaging in the new millennium.It has not only become the preferred method for first line imaging,but also,increasingly to clarify the interpretation of other imaging modalities to obtain efficient clinical decision.We review ultrasonography modalities,focusing on advanced pancreatic imaging and its potential to substantially improve diagnosis of pancreatic diseases at earlier stages.In the first section,we describe scanning techniques and examination protocols.Their consequences for image quality and the ability to obtain complete and detailed visualization of the pancreas are discussed.In the second section we outline ultrasonographic characteristics of pancreatic diseases with emphasis on chronic pancreatitis.Finally,new developments in ultrasonography of the pancreas such as contrast enhanced ultrasound and elastography are enlightened.展开更多
This paper presents a preprocessing technique that can provide the improved quality of image robust to illumination changes. First, in order to enhance the image contrast, we proposed new adaptive histogram transforma...This paper presents a preprocessing technique that can provide the improved quality of image robust to illumination changes. First, in order to enhance the image contrast, we proposed new adaptive histogram transformation combining histogram equalization and histogram specification. Here, by examining the characteristic of histogram distribution shape, we determine the appropriate target distribution. Next, applying the histogram equalization with an image histogram, we have obtained the uniform distribution of pixel values, and then we have again carried out the histogram transformation using an inverse of target distribution function. Finally we have conducted various experiments that can enhance the quality of image by applying our method with various standard images. The experimental results show that the proposed method can achieve moderately good image enhancement results.展开更多
文摘The course and outcome is poor for most patients with pancreatic diseases.Advances in pancreatic imaging are important in the detection of pancreatic diseases at early stages.Ultrasonography as a diagnostic tool has made,virtually speaking a technical revolution in medical imaging in the new millennium.It has not only become the preferred method for first line imaging,but also,increasingly to clarify the interpretation of other imaging modalities to obtain efficient clinical decision.We review ultrasonography modalities,focusing on advanced pancreatic imaging and its potential to substantially improve diagnosis of pancreatic diseases at earlier stages.In the first section,we describe scanning techniques and examination protocols.Their consequences for image quality and the ability to obtain complete and detailed visualization of the pancreas are discussed.In the second section we outline ultrasonographic characteristics of pancreatic diseases with emphasis on chronic pancreatitis.Finally,new developments in ultrasonography of the pancreas such as contrast enhanced ultrasound and elastography are enlightened.
文摘This paper presents a preprocessing technique that can provide the improved quality of image robust to illumination changes. First, in order to enhance the image contrast, we proposed new adaptive histogram transformation combining histogram equalization and histogram specification. Here, by examining the characteristic of histogram distribution shape, we determine the appropriate target distribution. Next, applying the histogram equalization with an image histogram, we have obtained the uniform distribution of pixel values, and then we have again carried out the histogram transformation using an inverse of target distribution function. Finally we have conducted various experiments that can enhance the quality of image by applying our method with various standard images. The experimental results show that the proposed method can achieve moderately good image enhancement results.
