Ultrasound Detection of Subquadricipital Recess Distension

Marco Colussi*, Gabriele Civitarese, Dragan Ahmetovic, Claudio Bettini, Roberta Gualtierotti, Flora Peyvandi, Sergio Mascetti

Problem definition

  • Context: detecting distended subquadricipital recess (SQR) needed for preventing permanent articular damage in hemofilic patients.
  • Problem: no CAD system exists to support the practitioner
  • Objective: create a CAD system to support the practitioner in
    • Identifying the SQR (green box)
    • Classifying the SQR as:
      • Not-distended
      • Distended

SQR examples

Contribution

Inline code: variable

Code block:

porridge = "blueberry"
if porridge == "blueberry":
    print("Eating...")

Detection approach

In-line math: $x + y = z$

Block math:

$$ f\left( x \right) = ;\frac{{2\left( {x + 4} \right)\left( {x - 4} \right)}}{{\left( {x + 4} \right)\left( {x + 1} \right)}} $$

Multi-task approach

In-line math: $x + y = z$

Block math:

$$ f\left( x \right) = ;\frac{{2\left( {x + 4} \right)\left( {x - 4} \right)}}{{\left( {x + 4} \right)\left( {x + 1} \right)}} $$

Dataset

  • Data collected from 208 hemophilic patients aged 44 ± 18.6
  • Images selected and annotated by expert radiologist
  • Evaluated on 5-fold cross-validation, with patient-based splits

Results

Best detection

Worst detection

Conclusion and future works

Dataset

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