Breast structural noise in digital breast tomosynthesis and its dependence on reconstruction methods

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6136 LNCS, Issue , 2010, Pages 598-605

  Hu, Yue Houng ^a   Masiar, Michael ^a   Zhao, Wei ^a  

^a STONY BROOK UNIVERSITY   (United States)

Author keywords

anatomical clutter; digital breast tomosynthesis; ideal observer model; linear system model; NPS

Indexed keywords

BREAST LESION DETECTION; BREAST STRUCTURE; BREAST TISSUES; CASCADED LINEAR SYSTEMS; DATA SETS; DIGITAL BREAST TOMOSYNTHESIS; FILTERED BACK PROJECTION; IDEAL OBSERVERS; LINEAR SYSTEM MODEL; POWER LAW EXPONENT; POWER-LAW NOISE; RECONSTRUCTION ALGORITHMS; RECONSTRUCTION METHOD; RECONSTRUCTION PROCESS; STRUCTURAL NOISE;

FREQUENCY DOMAIN ANALYSIS; LINEAR SYSTEMS; MAMMOGRAPHY; MODEL STRUCTURES; OBSERVABILITY; REPAIR;

COMPUTER CRIME;

EID: 77954652817     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13666-5_81     Document Type: Conference Paper

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