The Imaging Anatomy web site is a basic atlas of normal imaging anatomy of domestic animals. It is designed as an aid for veterinary students beginning their study of diagnostic imaging. It is not meant to be a comprehensive reference of imaging anatomy. It is also not meant to present the range of variation across breeds of the domestic animals. The site is the result of the work of Gerald J. Pijanowski, DVM, PhD and Steve Kneller, DVM, MS, DACVR, along with the design wizardry of Nancy Oliver of the Design Group. The overlays used to highlight various structures on each image are the result of the hard work of Seth Kramer, Class of 2011. Thanks to the research of Seth Kramer, the color palate used should accomodate the common forms of color blindness. Any errors, omissions or other mistakes are the responsibilty of the creators. Your comments and suggestions are invited. Please e-mail them to designgroup@vetmed.illinois.edu.

All awesome entries. Congratulations to those who ranked. Thank you for the mention of my images. 

The cat was a feral living at a local wetlands.

The dogs belong to a friend, I thought a nice image of her dogs would be a great way to repay her kindness.

The Peacock was at a local zoo.


Download Images Of Domestic Animals


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The aim of this review was to summarize the current knowledge on the application of ultrasonography in diagnosis, staging and monitoring of helminthic diseases in domestic animals. Only peer reviewed papers written in English language were included in this systematic review. All papers concerning unicellular parasites, wild animals, non-domestic experimental animals, or ex vivo or in vitro applications of ultrasonography were excluded from the review. A total of 122 papers met the inclusion criteria. Among them 47% concerned nematodes, 37% cestodes, and 16% trematodes with the genus Dirofilaria, Echinococcus, and Fasciola the most represented, respectively. Helminths can be recognized in ultrasound images by their morphology, size, and location. In some cases, the parasite stages are not directly seen by ultrasound, but the lesions caused by them can be easily visualized. Ultrasound imaging is taking on an increasingly important role in the diagnosis, staging, monitoring, and control of parasitic diseases in veterinary medicine. However, it cannot replace the clinical approach and the diagnostic tests commonly used in veterinary parasitology.

Data does not always come in a nice tabular form. It can also be a collection of text, audio recordings, video materials or even images. However, computers can only work with numbers, so for any data mining, we need to transform such unstructured data into a vector representation.

Here, we give an example of image embedding and show how easy is to use it in Orange. Technically, Orange would send the image to the server, where the server would push an image through a pre-trained deep neural network, like Google's Inception v3. Deep networks were most often trained with some special purpose in mind. Inception v3, for instance, can classify images into any of 1000 image classes. We can disregard the classification, consider instead the penultimate layer of the network with 2048 nodes (numbers) and use that for image's vector-based representation.

Let us measure the distance between these images and see which are the most similar. We used Distances widget to measure the distance. Normally, cosine distance works best for images, but you can experiment on your own. Then we passed the distance matrix to Hierarchical Clustering to visualize similar pairs in a dendrogram.

This image is quite different from the other images - it doesn't have a white background, it's a real (yet photoshopped) photo and the cow is facing us. Will the Image Embedding find the right numerical representation for this cow?

Transverse plane CT images of the cranial neck region of a 6-year-old 28.5-kg (62.7-lb) castrated male English Bulldog with a long-term history of regurgitation and stertorous breathing. Images obtained before (A) and after (B) administration of contrast medium are displayed in a soft tissue window (window width, 320 HU; window level, 30 HU), and the dog's right is to the left of the image.

Same CT images as in Figure 1. There is a 4.2  4.0-cm, soft tissue-attenuating, contrast-enhancing mass (arrows; A and B) adjacent to the right common carotid artery (asterisk; B), and the mass mildly displaces the surrounding structures.

On CT images, a soft tissue-attenuating, contrast-enhancing (45 HU before and 190 HU after administration of contrast medium) mass was identified adjacent to the right common carotid artery in the cranial region of the neck (Figure 2). The mass measured 4.2  4.0 cm in cross-section and mildly displaced the larynx and cranial portion of the esophagus to the left and displaced the right internal jugular vein, right common carotid artery, and right mandibular salivary gland to the right. On 3-D reconstruction, the mass was evident at the bifurcation of the right common carotid artery into the internal and external carotid arteries (Figure 3).

The carotid bodies are groups of chemoreceptors at the main bifurcations of each common carotid artery (located bilaterally just caudal to the angle of each mandible). The carotid bodies are part of a larger network of peripheral neuroendocrine chemoreceptors that sense changes in blood gasses (primarily oxygen and carbon dioxide) and pH and help regulate respiration and circulation.1 Carotid body tumors tend to be unilateral, slow-growing, mostly benign but locally invasive, highly vascular, and nonfunctional.1 In animals, carotid body tumors are most common in dogs, particularly in brachycephalic breeds (eg, Bulldogs, Boston Terriers, and Boxers).1 The cause of carotid body neoplastic transformation is hypothesized to be exacerbation of genetic predisposition by prolonged stimulation of the chemoreceptors by chronic hypoxia and hypercapnia (alone or in combination) induced by upper respiratory anatomic abnormalities present in brachycephalic airway syndrome.1 Affected dogs may also have concurrent aortic body tumors,1 and although carotid and aortic body tumors are rare, their true prevalences are likely underreported. e24fc04721

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