## Abstract To determine the feasibility of MR imaging of magnetically labeled cells, different cell lines were labeled with monocrystalline iron oxide (MION) particles. Phantoms containing MION labeled cells were then assembled and imaged by MR at 1.5 T using T1βweighted and T2βweighted pulse sequ
β¦ LIBER β¦
Transverse testicular ectopia detected by MR imaging and MR venography
β Scribed by Wendy Lam, Simon Le, Kwong-Leung Chan, Fu-Luk Chan, Paul Tam
- Publisher
- Springer-Verlag
- Year
- 2002
- Tongue
- English
- Weight
- 111 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0301-0449
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## Purpose: To automate the diagnosis of malignancy by classifying breast tissues as negative or positive for malignancy in gadolinium-enhanced dynamic magnetic resonance (mr) images, using static region descriptors and a neural network classifier. ## Materials and methods: We propose a novel app