Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT Conference Paper

  


Authors: Fehr, D.; Schmidtlein, C. R.; Hwang, S.; Deasy, J. O.; Veeraraghavan, H.
Title: Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT
Conference Title: 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro
Abstract: Early detection and the assessment of changes in bone metastatic cancers can enable clinicians to monitor disease progression and modify treatment to help achieve improved results for patients. However, poor contrast makes detection difficult, and multiple disease sites make tracking of their changes over time difficult. We present a method for automatically detecting and tracking the longitudinal changes in multiple sclerotic bone metastases from Dual Energy Computed Tomography (DECT) images. We employ a multi-stage approach involving (i) bone and marrow extraction, (ii) slice-wise lesion candidate detection and volumetric segmentation, and (iii) aggregation of these 3D candidates. The algorithm achieved 78% agreement with radiologist identified lesions from 10 patients. Longitudinal consistency in the lesion detection computed over 26 scans using Williams' index was 1.02±0.23 using DICE and 1.03±0.30 using Hausdorff metrics. We also present preliminary results for analyzing lesion material composition changes by using a novel representation computed from the DECT images, where clear differences between bone metastases and normal marrow can be seen. © 2016 IEEE.
Keywords: bone metastasis; pathology; computerized tomography; medical imaging; disease progression; bone; patient treatment; diseases; automatic detection; dual energy ct; longitudinal analysis; sclerotic bone metastases; segmentation consistency; dual energy computed tomography (dect); dual-energy ct; material compositions; volumetric segmentations
Journal Title International Symposium on Biomedical Imaging. Proceedings
Conference Dates: 2016 Apr 13-16
Conference Location: Prague, Czech Republic
ISBN: 1945-7928
Publisher: IEEE  
Date Published: 2016-01-01
Start Page: 168
End Page: 171
Language: English
DOI: 10.1109/isbi.2016.7493236
PROVIDER: scopus
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978386209&partnerID=40&md5=69b6d98403c81ad339ddca7830e63c58
Notes: Conference Paper -- Conference code: 122357 -- Export Date: 2 August 2016 -- 13 April 2016 through 16 April 2016 -- Source: Scopus
Altmetric
What is Altmetric?
Citation Impact
What is Dimensions Citation Badge?
BMJ Impact Analytics
MSK Authors
  1. Sinchun Hwang
    98 Hwang
  2. Charles Ross Schmidtlein
    107 Schmidtlein
  3. Joseph Owen Deasy
    527 Deasy
  4. Harini Veeraraghavan
    159 Veeraraghavan
  5. Duc Alexandre Fehr
    7 Fehr
Related MSK Work