Applications of Medical Physics
Applications of Medical Physics” is a Special Issue of Applied Sciences that has collected original research manuscripts describing cutting-edge physics developments in medicine and their translational applications. Reviews providing updates on the latest progresses in this field are also included....
Saved in:
HerausgeberIn: | |
---|---|
Sonstige: | |
Year of Publication: | 2022 |
Language: | English |
Physical Description: | 1 electronic resource (310 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993545028004498 |
---|---|
ctrlnum |
(CKB)5690000000011965 (oapen)https://directory.doabooks.org/handle/20.500.12854/87542 (EXLCZ)995690000000011965 |
collection |
bib_alma |
record_format |
marc |
spelling |
Gallo, Salvatore edt Applications of Medical Physics Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (310 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Open access Unrestricted online access star Applications of Medical Physics” is a Special Issue of Applied Sciences that has collected original research manuscripts describing cutting-edge physics developments in medicine and their translational applications. Reviews providing updates on the latest progresses in this field are also included. The collection includes a total of 20 contributions by authors from 9 different countries, which cover several areas of medical physics, spanning from radiation therapy, nuclear medicine, radiology, dosimetry, radiation protection, and radiobiology. English Humanities bicssc Social interaction bicssc medical imaging radiomics tomosynthesis acquisition angle percutaneous radioablation monte carlo dosimetry liver lesions molecular radiotherapy quality assurance in vivo dosimetry transmission radiation detectors whole breast irradiation MR-guided radiotherapy predictive models cervical cancer EOS conventional radiography computed tomography radiation dose enchondroma phantom medical worker radiological accident emergency response retrospective dosimetry ESR EPR fingernails antioxidant GEMPix GEMs Timepix Medipix radiation therapy hadron therapy microdosimetry gaseous detectors Covid-19 chest CT lungs HU density artificial intelligence deep learning medical physicist machine learning big data radioembolization internal dosimetry Monte Carlo-based dosimetry absorbed dose signal-noise ratio contrast-noise ratio figure of merit robust optimization high dose rate brachytherapy single plan approach median absolute deviation 99mTc-sestamibi breast-specific γ imaging breast cancer apoptosis theragnostic esophageal cancer neoadjuvant chemoradiation squamous cell carcinoma epicardial adipose tissue machine and deep learning partial volume effect quantitative analysis point spread function post-reconstruction-correction-method iterative reconstruction algorithms ASiR ASiR-V noise level noise spatial uniformity in vivo relative dosimetry proton radiotherapy quality controls beam monitoring nanoparticles scintillation ionizing energy deposition photodynamic therapy singlet oxygen protontherapy RBE radiobiology Geant4 3-0365-3613-2 3-0365-3614-0 Veronese, Ivan edt Gallo, Salvatore oth Veronese, Ivan oth |
language |
English |
format |
eBook |
author2 |
Veronese, Ivan Gallo, Salvatore Veronese, Ivan |
author_facet |
Veronese, Ivan Gallo, Salvatore Veronese, Ivan |
author2_variant |
s g sg i v iv |
author2_role |
HerausgeberIn Sonstige Sonstige |
title |
Applications of Medical Physics |
spellingShingle |
Applications of Medical Physics |
title_full |
Applications of Medical Physics |
title_fullStr |
Applications of Medical Physics |
title_full_unstemmed |
Applications of Medical Physics |
title_auth |
Applications of Medical Physics |
title_new |
Applications of Medical Physics |
title_sort |
applications of medical physics |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
physical |
1 electronic resource (310 p.) |
isbn |
3-0365-3613-2 3-0365-3614-0 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT gallosalvatore applicationsofmedicalphysics AT veroneseivan applicationsofmedicalphysics |
status_str |
n |
ids_txt_mv |
(CKB)5690000000011965 (oapen)https://directory.doabooks.org/handle/20.500.12854/87542 (EXLCZ)995690000000011965 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Applications of Medical Physics |
author2_original_writing_str_mv |
noLinkedField noLinkedField noLinkedField |
_version_ |
1789895334463275008 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04581nam-a2201417z--4500</leader><controlfield tag="001">993545028004498</controlfield><controlfield tag="005">20240131200914.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202207s2022 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5690000000011965</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/87542</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995690000000011965</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gallo, Salvatore</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Applications of Medical Physics</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (310 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Open access</subfield><subfield code="f">Unrestricted online access</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Applications of Medical Physics” is a Special Issue of Applied Sciences that has collected original research manuscripts describing cutting-edge physics developments in medicine and their translational applications. Reviews providing updates on the latest progresses in this field are also included. The collection includes a total of 20 contributions by authors from 9 different countries, which cover several areas of medical physics, spanning from radiation therapy, nuclear medicine, radiology, dosimetry, radiation protection, and radiobiology.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Humanities</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Social interaction</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">medical imaging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radiomics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">tomosynthesis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">acquisition angle</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">percutaneous radioablation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">monte carlo dosimetry</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">liver lesions</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">molecular radiotherapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">quality assurance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">in vivo dosimetry</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">transmission radiation detectors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">whole breast irradiation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">MR-guided radiotherapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">predictive models</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cervical cancer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">EOS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">conventional radiography</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">computed tomography</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radiation dose</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">enchondroma</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">phantom</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">medical worker</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radiological accident</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">emergency response</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">retrospective dosimetry</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ESR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">EPR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fingernails</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">antioxidant</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GEMPix</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GEMs</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Timepix</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Medipix</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radiation therapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hadron therapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">microdosimetry</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gaseous detectors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Covid-19</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">chest CT</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lungs</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">HU density</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">medical physicist</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">big data</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radioembolization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">internal dosimetry</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Monte Carlo-based dosimetry</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">absorbed dose</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">signal-noise ratio</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">contrast-noise ratio</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">figure of merit</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">robust optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">high dose rate brachytherapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">single plan approach</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">median absolute deviation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">99mTc-sestamibi</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">breast-specific γ imaging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">breast cancer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">apoptosis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">theragnostic</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">esophageal cancer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">neoadjuvant chemoradiation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">squamous cell carcinoma</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">epicardial adipose tissue</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine and deep learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">partial volume effect</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">quantitative analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">point spread function</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">post-reconstruction-correction-method</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">iterative reconstruction algorithms</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ASiR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ASiR-V</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">noise level</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">noise spatial uniformity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">in vivo relative dosimetry</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">proton</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radiotherapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">quality controls</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">beam monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">nanoparticles</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">scintillation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ionizing energy deposition</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">photodynamic therapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">singlet oxygen</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">protontherapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">RBE</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radiobiology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Geant4</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-3613-2</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-3614-0</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Veronese, Ivan</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gallo, Salvatore</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Veronese, Ivan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2024-02-03 14:58:23 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-07-14 08:50:39 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337830960004498&Force_direct=true</subfield><subfield code="Z">5337830960004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337830960004498</subfield></datafield></record></collection> |