activity
20192026
most citedFeasibility Study of Hybrid Inverse Planning with Transmission Beams and Single-energy Spread-out Bragg Peaks for Proton Flash Radiotherapy

21 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

physics.med-ph2026

Circulating Lymphocytes Preservation in Lung Cancer Stereotactic Body Radiation Therapy with Ultra-Fast Proton Delivery Using Modularized Pin Ridge Filters

Duncan Bohannon, Ahmal Jawad Zafar, Sibo Tian +9

Purpose: Radiation-induced lymphopenia is an increasingly recognized toxicity in lung radiotherapy and has been linked to radiation exposure to circulating lymphocytes (CL). In int…

physics.med-ph2023

Streamlined Pin-Ridge-Filter Design for Single-energy Proton FLASH Planning

Chaoqiong Ma, Jun Zhou, Chih-Wei Chang +5

Purpose: This study explored the feasibility of a streamlined pin-shaped ridge filter (pin-RF) design for single-energy proton FLASH planning. Methods: An inverse planning framewor…

physics.med-ph2022★ 1 cited

Deep learning-based Fast Volumetric Image Generation for Image-guided Proton FLASH Radiotherapy

Chih-Wei Chang, Yang Lei, Tonghe Wang +7

Proton FLASH therapy leverages ultra-high dose-rate radiation to enhance the sparing of organs at risk without compromising tumor control probability. To prepare for the delivery o…

physics.med-ph2022★ 21 cited

Feasibility Study of Hybrid Inverse Planning with Transmission Beams and Single-energy Spread-out Bragg Peaks for Proton Flash Radiotherapy

Chaoqiong Ma, Xiaofeng Yang, Chih-Wei Chang +6

Ultra-high dose rate (FLASH) proton planning with only transmission beams (TBs) has limitations in normal tissue sparing. The single-energy spread-out Bragg peaks (SESOBPs) of FLAS…

physics.med-ph2019★ 3 cited

Air, bone and soft-tissue Segmentation on 3D brain MRI Using Semantic Classification Random Forest with Auto-Context Model

Xue Dong, Yang Lei, Sibo Tian +7

As bone and air produce weak signals with conventional MR sequences, segmentation of these tissues particularly difficult in MRI. We propose to integrate patch-based anatomical sig…