3D image reconstruction for CT and PET : (Record no. 128330)
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| 000 -LEADER | |
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| fixed length control field | 08052cam a2200601Ki 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9780429270239 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FlBoTFG |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220509193022.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200831s2020 flu ob 001 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | OCoLC-P |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | OCoLC-P |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000175882 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 100017588X |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000175820 |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1000175820 |
| -- | (e-book) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000175851 |
| -- | (Mobipocket ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1000175855 |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780429270239 |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0429270232 |
| -- | (ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9780367219970 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 0367219972 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1201/9780429270239 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1191243487 |
| Canceled/invalid control number | (OCoLC)1195820862 |
| -- | (OCoLC)1196199204 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC-P)1191243487 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | RC78.7.T6 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MED |
| Subject category code subdivision | 080000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | SCI |
| Subject category code subdivision | 055000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | PHVD |
| Source | bicssc |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 616.0757 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Panetta, Daniele, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | 3D image reconstruction for CT and PET : |
| Remainder of title | a practical guide with Python / |
| Statement of responsibility, etc | Daniele Panetta, Camarlinghi Niccolo. |
| 264 #1 - | |
| -- | Boca Raton : |
| -- | CRC Press, |
| -- | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | CRC Press focus series in medical physics and biomedical engineering |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP, ART, SIRT, MLEM and OSEM are presented with modern and compact notation, with the main goal of guiding the reader from the comprehension of the mathematical background through a fast-route to real practice and computer implementation of the algorithms. Accompanied by example data sets, real ready-to-run Python toolsets and scripts and an overview the latest research in the field, this guide will be invaluable for graduate students and early-career researchers and scientists in medical physics and biomedical engineering who are beginners in the field of image reconstruction. A top-down guide from theory to practical implementation of PET and CT reconstruction methods, without sacrificing the rigor of mathematical background Accompanied by Python source code snippets, suggested exercises, and supplementary ready-to-run examples for readers to download from the CRC Press website Ideal for those willing to move their first steps on the real practice of image reconstruction, with modern scientific programming language and toolsets Daniele Panetta is a researcher at the Institute of Clinical Physiology of the Italian National Research Council (CNR-IFC) in Pisa. He earned his MSc degree in Physics in 2004 and specialisation diploma in Health Physics in 2008, both at the University of Pisa. From 2005 to 2007, he worked at the Department of Physics "E. Fermi" of the University of Pisa in the field of tomographic image reconstruction for small animal imaging micro-CT instrumentation. His current research at CNR-IFC has as its goal the identification of novel PET/CT imaging biomarkers for cardiovascular and metabolic diseases. In the field micro-CT imaging, his interests cover applications of three-dimensional morphometry of biosamples and scaffolds for regenerative medicine. He acts as reviewer for scientific journals in the field of Medical Imaging: Physics in Medicine and Biology, Medical Physics, Physica Medica, and others. Since 2012, he is adjunct professor in Medical Physics at the University of Pisa. Niccol Camarlinghi is a researcher at the University of Pisa. He obtained his MSc in Physics in 2007 and his PhD in Applied Physics in 2012. He has been working in the field of Medical Physics since 2008 and his main research fields are medical image analysis and image reconstruction. He is involved in the development of clinical, pre-clinical PET and hadron therapy monitoring scanners. Atthetimeofwritingthisbook he was a lecturer at University of Pisa, teaching courses of life-sciences and medical physics laboratory. He regularly acts as a referee for the following journals: Medical Physics, Physics in Medicine and Biology, Transactions on Medical Imaging, Computers in Biology and Medicine, Physica Medica, EURASIP Journal on Image and Video Processing, Journal of Biomedical and Health Informatics. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- About the Authors -- Chapter 1: Preliminary notions -- 1.1 IMAGE RECONSTRUCTION FROM PROJECTION -- 1.1.1 Purpose of image reconstruction -- 1.1.2 Families of reconstruction methods -- 1.2 TOMOGRAPHIC IMAGING MODALITIES (RELEVANT FOR THIS BOOK) -- 1.2.1 Computed Tomography (CT) -- 1.2.2 Positron Emission Tomography (PET) -- 1.2.3 Single-photon Emission Computed Tomography (SPECT) -- 1.3 NOTIONS COMMON FOR ALL RECONSTRUCTION METHODS -- 1.3.1 Object function and image function |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1.4 RELEVANT NOTIONS FOR ANALYTICAL RECONSTRUCTION METHODS -- 1.4.1 Line integral -- 1.4.2 Radon transform -- 1.4.3 Sinogram -- 1.4.4 Exact and approximated reconstruction -- 1.4.5 Central section theorem -- 1.5 RELEVANT NOTIONS FOR ITERATIVE RECONSTRUCTION METHODS -- 1.5.1 Object vector and data vector -- 1.5.2 System matrix -- 1.5.3 Discrete forward projection -- 1.5.4 Discrete back projection -- Chapter 2: Short guide to Python samples -- 2.1 INSTALLATION -- 2.2 PROJECT ORGANIZATION -- 2.3 CODING CONVENTIONS -- 2.4 DEFINITION OF AN EXPERIMENTAL SETUP -- 2.4.1 Definition of a radiation detector |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 2.4.2 Definition of the image matrix -- 2.4.3 PET experimental setup -- 2.4.4 CT experimental setup -- 2.4.5 Parallel beam CT -- 2.4.6 Fan beam CT -- 2.4.7 Cone beam CT -- 2.4.8 Serialization/de-serialization of objects -- 2.4.9 Rendering an experimental setup -- 2.4.10 3D stack visualization -- Chapter 3: Analytical reconstruction algorithms -- 3.1 2D RECONSTRUCTION IN PARALLEL BEAM GEOMETRY -- 3.1.1 Direct Fourier Reconstruction (DFR) -- 3.1.2 Filtered Backprojection (FBP) -- 3.1.2.1 Filtered Backprojection vs. Convolution Backprojection -- 3.1.2.2 Ramp filter and apodisation windows |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 3.1.2.3 The backprojection step -- 3.1.3 High-level Python implementation of the FBP -- 3.2 2D FBP IN FAN BEAM GEOMETRY -- 3.2.1 Rebinning -- 3.2.2 Full-scan (2p) FBP reconstruction in native fan beam geometry -- 3.2.3 Python implementation of the fan beam FBP -- 3.2.4 Data redundancy and short-scan reconstruction -- 3.3 RECONSTRUCTION OF FAN BEAM DATA FROM HELICAL SCANS -- 3.4 3D FBP IN CONE BEAM GEOMETRY -- 3.4.1 The Feldkamp-Davis-Kress (FDK) method -- 3.4.2 Python implementation of the FDK algorithm -- 3.5 OTHER FOURIER-BASED METHODS -- 3.5.1 Backprojection-Filtration (BPF) |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 3.6 SUGGESTED EXPERIMENTS -- Chapter 4: Iterative reconstruction algorithms -- 4.1 SYSTEM MATRIX -- 4.2 IMPLEMENTATION OF THE FORWARD AND BACK PROJECTION -- 4.3 HADAMARD PRODUCT AND DIVISION -- 4.4 ALGEBRAIC RECONSTRUCTION TECHNIQUE (ART) -- 4.5 SIMULTANEOUS ITERATIVE RECONSTRUCTION TECHNIQUE (SIRT) -- 4.6 MAXIMUM-LIKELIHOOD EXPECTATION MAXIMIZATION (MLEM) -- 4.7 ORDERED-SUBSET EXPECTATION MAXIMIZATION (OSEM) -- 4.8 A STEP-BY-STEP EXAMPLE USING ARTIFICIAL NOISELESS PROJECTION DATA -- 4.9 A STEP-BY-STEP EXAMPLE USING ARTIFICIAL POISSON NOISE AFFECTED DATA |
| 588 ## - | |
| -- | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Tomography |
| General subdivision | Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Tomography, Emission |
| General subdivision | Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Three-dimensional imaging. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python (Computer program language) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | MEDICAL / Radiology & Nuclear Medicine |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | SCIENCE / Physics |
| Source of heading or term | bisacsh |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Taylor & Francis |
| Uniform Resource Identifier | https://www.taylorfrancis.com/books/9780429270239 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | OCLC metadata license agreement |
| Uniform Resource Identifier | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
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