Estimation of tissue‐water linear stopping power ratio of the proton beam from proton density‐weighted MRI

The relationship between <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>H</mml:mi> <mml:mrow><mml:mi>t</mml:mi> <mml:mi>i</mml:mi> <mml:mi>s</mml:mi> <mml:mi>s</mml:mi> <mml:mi>u</mml:mi> <mml:mi>e</mml:mi> <mml:mo>,</mml:mo> <mml:mspace></mml:mspace> <mml:mi>water</mml:mi></mml:mrow> </mml:msub> <mml:annotation>${{H}_{tissue,\ {\mathrm{water}}}}$</mml:annotation></mml:semantics> </mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>S</mml:mi> <mml:mrow><mml:mi>t</mml:mi> <mml:mi>i</mml:mi> <mml:mi>s</mml:mi> <mml:mi>s</mml:mi> <mml:mi>u</mml:mi> <mml:mi>e</mml:mi> <mml:mo>,</mml:mo> <mml:mspace></mml:mspace> <mml:mi>water</mml:mi></mml:mrow> </mml:msub> <mml:annotation>${{S}_{tissue,\ {\mathrm{water}}}}$</mml:annotation></mml:semantics> </mml:math> remained consistent despite variability in tissue composition and treatment energies. The D<sub>2</sub>O-H<sub>2</sub>O phantom, which is simple and reproducible, proved effective for accurately calibrating proton density-weighted MRI against <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>H</mml:mi> <mml:mrow><mml:mi>t</mml:mi> <mml:mi>i</mml:mi> <mml:mi>s</mml:mi> <mml:mi>s</mml:mi> <mml:mi>u</mml:mi> <mml:mi>e</mml:mi> <mml:mo>,</mml:mo> <mml:mspace></mml:mspace> <mml:mi>water</mml:mi></mml:mrow> </mml:msub> <mml:annotation>${{H}_{tissue,\ {\mathrm{water}}}}$</mml:annotation></mml:semantics> </mml:math> . These findings demonstrate the potential of proton density-weighted MRI to directly estimate <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>S</mml:mi> <mml:mrow><mml:mi>t</mml:mi> <mml:mi>i</mml:mi> <mml:mi>s</mml:mi> <mml:mi>s</mml:mi> <mml:mi>u</mml:mi> <mml:mi>e</mml:mi> <mml:mo>,</mml:mo> <mml:mspace></mml:mspace> <mml:mi>water</mml:mi></mml:mrow> </mml:msub> <mml:annotation>${{S}_{tissue,\ {\mathrm{water}}}}$</mml:annotation></mml:semantics> </mml:math> . A separate method to identify adipose through lipid concentration measurement may further improve accuracy in soft tissues.

Authors

Institutions

Publication Details

Journal
Medical Physics
Published
2025-12-27
DOI
https://doi.org/10.1002/mp.70204
Primary Topic
Radiation Therapy and Dosimetry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimation of tissue‐water linear stopping power ratio of the proton beam from proton density‐weighted MRI

Hidetoshi Saitoh, Puspen Chakraborty, Junichi Hata, Weishan Chang
Medical Physics
Radiation Therapy and Dosimetry
article

Estimation of tissue‐water linear stopping power ratio of the proton beam from proton density‐weighted MRI

Hidetoshi Saitoh, Puspen Chakraborty, Junichi Hata, Weishan Chang
article en

Abstract

The relationship between <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>H</mml:mi> <mml:mrow><mml:mi>t</mml:mi> <mml:mi>i</mml:mi> <mml:mi>s</mml:mi> <mml:mi>s</mml:mi> <mml:mi>u</mml:mi> <mml:mi>e</mml:mi> <mml:mo>,</mml:mo> <mml:mspace></mml:mspace> <mml:mi>water</mml:mi></mml:mrow> </mml:msub> <mml:annotation>${{H}_{tissue,\ {\mathrm{water}}}}$</mml:annotation></mml:semantics> </mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>S</mml:mi> <mml:mrow><mml:mi>t</mml:mi> <mml:mi>i</mml:mi> <mml:mi>s</mml:mi> <mml:mi>s</mml:mi> <mml:mi>u</mml:mi> <mml:mi>e</mml:mi> <mml:mo>,</mml:mo> <mml:mspace></mml:mspace> <mml:mi>water</mml:mi></mml:mrow> </mml:msub> <mml:annotation>${{S}_{tissue,\ {\mathrm{water}}}}$</mml:annotation></mml:semantics> </mml:math> remained consistent despite variability in tissue composition and treatment energies. The D<sub>2</sub>O-H<sub>2</sub>O phantom, which is simple and reproducible, proved effective for accurately calibrating proton density-weighted MRI against <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>H</mml:mi> <mml:mrow><mml:mi>t</mml:mi> <mml:mi>i</mml:mi> <mml:mi>s</mml:mi> <mml:mi>s</mml:mi> <mml:mi>u</mml:mi> <mml:mi>e</mml:mi> <mml:mo>,</mml:mo> <mml:mspace></mml:mspace> <mml:mi>water</mml:mi></mml:mrow> </mml:msub> <mml:annotation>${{H}_{tissue,\ {\mathrm{water}}}}$</mml:annotation></mml:semantics> </mml:math> . These findings demonstrate the potential of proton density-weighted MRI to directly estimate <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>S</mml:mi> <mml:mrow><mml:mi>t</mml:mi> <mml:mi>i</mml:mi> <mml:mi>s</mml:mi> <mml:mi>s</mml:mi> <mml:mi>u</mml:mi> <mml:mi>e</mml:mi> <mml:mo>,</mml:mo> <mml:mspace></mml:mspace> <mml:mi>water</mml:mi></mml:mrow> </mml:msub> <mml:annotation>${{S}_{tissue,\ {\mathrm{water}}}}$</mml:annotation></mml:semantics> </mml:math> . A separate method to identify adipose through lipid concentration measurement may further improve accuracy in soft tissues.

Medical PhysicsVol. 53(1)
Tokyo Metropolitan University (JP)
Clean water and sanitation
Openalex Percentile: Top 28%
Radiation Therapy and Dosimetry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.