Quantitative MRI in cancer /
"Recent years have seen a tremendous explosion in both the number and quantity of imaging techniques that can be applied in the quantitative characterization of cancer. These techniques have come from all fields of non-invasive, in vivo medical imaging including magnetic resonance imaging (MRI)...
| Principais autores: | , , |
|---|---|
| Formato: | text |
| Idioma: | eng |
| Publicado em: |
Boca Raton, FL. : CRC Press,
2012
|
| Assuntos: |
| _version_ | 1826451298772320256 |
|---|---|
| author | Yankeelov, Thomas 532009 Pickens, David R. 532010 Price, Ronald Francis 267849 |
| author_facet | Yankeelov, Thomas 532009 Pickens, David R. 532010 Price, Ronald Francis 267849 |
| author_sort | Yankeelov, Thomas 532009 |
| collection | OCEAN |
| description | "Recent years have seen a tremendous explosion in both the number and quantity of imaging techniques that can be applied in the quantitative characterization of cancer. These techniques have come from all fields of non-invasive, in vivo medical imaging including magnetic resonance imaging (MRI), optical imaging, computed tomography (CT), positron emission tomography (PET), single photon emission computed tomography (SPECT), and ultrasound. Relevant techniques that have been developed report on, for example, tumor cellularity, vessel perfusion and permeability, hypoxic fractions, as well as cellular and molecular signatures. It is a reasonable hypothesis that characterization of tissue status can offer increased sensitivity and specificity when diagnosing and grading tumors. Furthermore, as many current anti-cancer drugs are designed to alter these specific tumor characteristics, imaging metrics designed to report on those phenomena promise to offer improved methods of planning treatment as well as assessing the response of tumors to treatment"--Provided by publisher. |
| first_indexed | 2024-03-05T12:07:09Z |
| format | text |
| id | KOHA-OAI-TEST:472432 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T12:07:09Z |
| publishDate | 2012 |
| publisher | Boca Raton, FL. : CRC Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:4724322022-01-06T06:25:13ZQuantitative MRI in cancer / Yankeelov, Thomas 532009 Pickens, David R. 532010 Price, Ronald Francis 267849 textBoca Raton, FL. : CRC Press,2012eng"Recent years have seen a tremendous explosion in both the number and quantity of imaging techniques that can be applied in the quantitative characterization of cancer. These techniques have come from all fields of non-invasive, in vivo medical imaging including magnetic resonance imaging (MRI), optical imaging, computed tomography (CT), positron emission tomography (PET), single photon emission computed tomography (SPECT), and ultrasound. Relevant techniques that have been developed report on, for example, tumor cellularity, vessel perfusion and permeability, hypoxic fractions, as well as cellular and molecular signatures. It is a reasonable hypothesis that characterization of tissue status can offer increased sensitivity and specificity when diagnosing and grading tumors. Furthermore, as many current anti-cancer drugs are designed to alter these specific tumor characteristics, imaging metrics designed to report on those phenomena promise to offer improved methods of planning treatment as well as assessing the response of tumors to treatment"--Provided by publisher.Includes bibliographical references and index."Recent years have seen a tremendous explosion in both the number and quantity of imaging techniques that can be applied in the quantitative characterization of cancer. These techniques have come from all fields of non-invasive, in vivo medical imaging including magnetic resonance imaging (MRI), optical imaging, computed tomography (CT), positron emission tomography (PET), single photon emission computed tomography (SPECT), and ultrasound. Relevant techniques that have been developed report on, for example, tumor cellularity, vessel perfusion and permeability, hypoxic fractions, as well as cellular and molecular signatures. It is a reasonable hypothesis that characterization of tissue status can offer increased sensitivity and specificity when diagnosing and grading tumors. Furthermore, as many current anti-cancer drugs are designed to alter these specific tumor characteristics, imaging metrics designed to report on those phenomena promise to offer improved methods of planning treatment as well as assessing the response of tumors to treatment"--Provided by publisher.PSZJBLCancerMagnetic resonance imagingURN:ISBN:1439820570 (hardback : alk. paper)URN:ISBN:9781439820575 (hbk.) |
| spellingShingle | Cancer Magnetic resonance imaging Yankeelov, Thomas 532009 Pickens, David R. 532010 Price, Ronald Francis 267849 Quantitative MRI in cancer / |
| title | Quantitative MRI in cancer / |
| title_full | Quantitative MRI in cancer / |
| title_fullStr | Quantitative MRI in cancer / |
| title_full_unstemmed | Quantitative MRI in cancer / |
| title_short | Quantitative MRI in cancer / |
| title_sort | quantitative mri in cancer |
| topic | Cancer Magnetic resonance imaging |
| work_keys_str_mv | AT yankeelovthomas532009 quantitativemriincancer AT pickensdavidr532010 quantitativemriincancer AT priceronaldfrancis267849 quantitativemriincancer |