scholarly journals Analysis on imaging features of mammography in computer radiography and investigation on gray scale transform and energy subtraction

2003 ◽  
Vol 30 (12) ◽  
pp. 3264-3264
Author(s):  
Shuli Feng
2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Wei Yang ◽  
Min-Hua Chen ◽  
Wei Wu ◽  
Ying Dai ◽  
Zhi-Hui Fan

This study compared the imaging features of conventional gray scale ultrasound (US) before and after contrast-enhanced ultrasound (CEUS) for focal liver lesions and 22 evaluated the role of US post-CEUS in characterizing liver lesions. 126 patients with 158 focal liver lesions underwent CEUS and US post-CEUS examination and entered this study. There were 74 hepatocellular carcinomas (HCC), 43 hepatic metastases, and 41 hemangiomas. Imaging features of US pre-CEUS and US post-CEUS were analyzed offsite by two blinded experienced radiologists to evaluate size, boundary, echogenicity, internal texture, posterior acoustic enhancement, spatial resolution, and contrast resolution. In the end with pathological and clinical evidence, the diagnostic accuracy rate of US pre-CEUS was 53.8% (85/158 lesions), lower than that of CEUS (88.0%, 139/158 lesions); with the complementation of US post-CEUS the rate rose to 93.0% (147/158 lesions). US post-CEUS could improve the visibility of typical structures of focal liver lesions and might provide important complementary information for CEUS diagnosis. It also increases the visibility of small liver lesions compared with US pre-CEUS and helps to guide local interventional procedure.


2002 ◽  
Vol 21 (7) ◽  
pp. 821-824 ◽  
Author(s):  
Tsung-Ming Chen ◽  
Sheng-Nan Lu ◽  
Jing-Houng Wang ◽  
Chao-Hung Hung ◽  
Hung-Da Tung

2020 ◽  
Author(s):  
Hong Wang ◽  
Dan Yang ◽  
Yan Luo ◽  
Yulan Peng ◽  
Wenwu Ling

Abstract Background: Hepatocellular carcinoma (HCC) with concurrent occurrence of primary hepatic neuroendocrine carcinoma (NEC) of the liver is very rare. Preoperative diagnosis of hepatocellular carcinoma with neuroendocrine carcinoma to be very difficult. Case presentation: A 33-year-old male was referred to our hospital due to liver space-occupying lesion. To further diagnosis, he received laboratory tests, gray-scale US, and contrast-enhanced ultrasound (CEUS). In this present study, ethical approval was not necessary, as this article is a case report, which is based on the clinical information of the patient. The patient gave his permission for publication of the case. Gray-scale abdominal ultrasound image demonstrated a mass at the inferior segment of the right posteriorr liver lobe with liver cirrhosis. In CEUS, the lesion was homogeneously hyper-enhanced in the arterial phase, heterogenous mild enhancement in the portal phase and hypo-enhanced in the parenchymal phase. The patient received middle hepatectomy, spleenectomy and cholecystectomy. He had an uneventful recovery from the procedure.Conclusions: We presented a case report with HCC with NEC, focusing on the ultrasound imaging features of this tumor, especially its enhancement pattern on CEUS. This is the first CEUS performance reported in association with HCC with NEC. CEUS provided helpful information for diagnosis. We should not simply diagnose such tumors as HCC, but think about the possibilities of HCC another type of cancer, especially in patients with the chronic liver disease.


2002 ◽  
Vol 47 (3) ◽  
pp. 269
Author(s):  
Kyung Nyeo Jeon ◽  
Duk Sik Kang ◽  
Kyung Soo Bae
Keyword(s):  

2015 ◽  
Vol 8 (3) ◽  
pp. 161
Author(s):  
Samuel Gideon

This research was conducted as a learning alternatives for study of CT (computed tomograpghy) imaging using image reconstruction technique which are inversion matrix, back projection and filtered back projection. CT imaging can produce images of objects that do not overlap. Objects more easily distinguishable although given the relatively low contrast. The image is generated on CT imaging is the result of reconstruction of the original object. Matlab allows us to create and write imaging algorithms easily, easy to undersand and gives applied and exciting other imaging features. In this study, an example cross-sectional image recon-struction performed on the body of prostate tumors using. With these methods, medical prac-titioner (such as oncology clinician, radiographer and medical physicist) allows to simulate the reconstruction of CT images which almost resembles the actual CT visualization techniques.Keywords : computed tomography (CT), image reconstruction, Matlab


2019 ◽  
Author(s):  
Tahri Abir ◽  
Abdellaoui Wahiba ◽  
Rouf Siham ◽  
Latrech Hanane

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