Variable-rate, lossy, tree-structured codes and digital radiography

Author

Olshen, Richard A.

Author_Institution

Div. of Biostatistics, Stanford Univ. Sch. of Med., CA, USA

fYear

1994

fDate

27-29 Oct 1994

Firstpage

19

Abstract

The author surveys binary tree-structured methods for clustering as they apply to predictive, pruned, tree-structured vector quantization (predictive PTSVQ). Much of the material concerns applications of PTSVQ to the lossy coding of digital medical images, especially CT and MR chest scans. There is a brief introduction to the asymptotic properties of the algorithms and to an attempt to understand variability and covariability of amino acids in the V3 loop region of HIV

Keywords

biomedical NMR; computerised tomography; diagnostic radiography; image coding; medical image processing; variable rate codes; vector quantisation; CT scans; HIV; MR chest scan; V3 loop region; amino acids; asymptotic properties; binary tree-structured methods; clustering; covariability; digital medical images; digital radiography; lossy codes; predictive pruned tree-structured vector quantization; tree-structured codes; variability; variable-rate codes; Amino acids; Biomedical imaging; Bit rate; Clustering algorithms; Computed tomography; Human immunodeficiency virus; Image coding; Partitioning algorithms; Pixel; Radiography;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on

Conference_Location

Alexandria, VA

Print_ISBN

0-7803-2761-6

Type

conf

DOI

10.1109/WITS.1994.513859

Filename

513859