WordNet

render visible, as by means of MRI
the general impression that something (a person or organization or product) presents to the public; "although her popular image was contrived it served to inspire music and pageantry"; "the company tried to project an altruistic image"
an iconic mental representation; "her imagination forced images upon her too awful to contemplate" (同)mental image
(mathematics) the set of values of the dependent variable for which a function is defined; "the image of f(x) = x^2 is the set of all non-negative real numbers if the domain of the function is the set of all real numbers" (同)range, range of a function
the 9th letter of the Roman alphabet (同)i
(medicine) obtaining pictures of the interior of the body (同)tomography

PrepTutorEJDIC

(鏡に映った)『像』,(レンズによる)映像 / (心に浮かぶ)『像』,心像,イメージ / (絵・彫刻などによる人・動物などの)『像』,肖像;偶像《+『of』+『名』》 / (…に)『そっくりの人』(『物』)《+『of』+『名』》 / (…の)典型;(…の)化身《+『of』+『名』》 / (直喩(ちょくゆ)・隠喩などの)比喩 / …‘の'像を描く;…‘を'思い描く
『私は』私が
iodineの化学記号

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1. 骨格組織転移部位の画像ガイド下焼灼術 image guided ablation of skeletal metastases
2. 肺腫瘍の画像ガイド下焼灼術 image guided ablation of lung tumors
3. 節足動物および昆虫による咬傷の予防：防虫剤およびその他の対策法 prevention of arthropod and insect bites repellents and other measures
4. がん治療における放射線治療手技 radiation therapy techniques in cancer treatment
5. 頭頸部癌に対する放射線療法の一般原則 general principles of radiation therapy for head and neck cancer

English Journal

Cardiovascular CT angiography in neonates and children: Image quality and potential for radiation dose reduction with iterative image reconstruction techniques.

Tricarico F, Hlavacek AM, Schoepf UJ, Ebersberger U, Nance JW Jr, Vliegenthart R, Cho YJ, Spears JR, Secchi F, Savino G, Marano R, Schoenberg SO, Bonomo L, Apfaltrer P.SourceDepartment of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive, MSC 226, Charleston, SC, 29401, USA.
European radiology.Eur Radiol.2013 May;23(5):1306-15. doi: 10.1007/s00330-012-2734-5. Epub 2012 Dec 4.
OBJECTIVES: To evaluate image quality (IQ) of low-radiation-dose paediatric cardiovascular CT angiography (CTA), comparing iterative reconstruction in image space (IRIS) and sinogram-affirmed iterative reconstruction (SAFIRE) with filtered back-projection (FBP) and estimate the potential for further
PMID 23207869

Regularized robust coding for face recognition.

Yang M, Zhang L, Yang J, Zhang D.AbstractRecently the sparse representation based classification (SRC) has been proposed for robust face recognition (FR). In SRC, the testing image is coded as a sparse linear combination of the training samples, and the representation fidelity is measured by the l2-norm or l1 -norm of the coding residual. Such a sparse coding model assumes that the coding residual follows Gaussian or Laplacian distribution, which may not be effective enough to describe the coding residual in practical FR systems. Meanwhile, the sparsity constraint on the coding coefficients makes the computational cost of SRC very high. In this paper, we propose a new face coding model, namely regularized robust coding (RRC), which could robustly regress a given signal with regularized regression coefficients. By assuming that the coding residual and the coding coefficient are respectively independent and identically distributed, the RRC seeks for a maximum a posterior solution of the coding problem. An iteratively reweighted regularized robust coding (IR(3)C) algorithm is proposed to solve the RRC model efficiently. Extensive experiments on representative face databases demonstrate that the RRC is much more effective and efficient than state-of-the-art sparse representation based methods in dealing with face occlusion, corruption, lighting, and expression changes, etc.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.IEEE Trans Image Process.2013 May;22(5):1753-66. doi: 10.1109/TIP.2012.2235849. Epub 2012 Dec 21.
Recently the sparse representation based classification (SRC) has been proposed for robust face recognition (FR). In SRC, the testing image is coded as a sparse linear combination of the training samples, and the representation fidelity is measured by the l2-norm or l1 -norm of the coding residual.
PMID 23269753

Japanese Journal

Fat-suppressed MR Imaging of the Spine for Metal Artifact Reduction at 3T: Comparison of STIR and Slice Encoding for Metal Artifact Correction Fat-suppressed T<sub>2</sub>-weighted Images